Easy Agile Podcast Ep.1 Dominic Price, Work Futurist at Atlassian
"I had the pleasure of sitting down to chat with Dominic Price from Atlassian. It was so enjoyable to reflect on my time working at Atlassian and to hear Dom's perspective on what makes a great team, how to build an authentic culture and prioritising the things that matter."
- Nick Muldoon, Co-CEO Easy Agile
Transcript:
Nick Muldoon:
What I was keen to touch on and what I was keen to explore, Dom, was really this evolution of thinking at Atlassian. I remember when we first crossed paths, and correct me if I'm wrong, but I recall it was like late 2014, I think.
Dom Price:
Yeah, it was.
Nick Muldoon:
Scrum Australia was on at the time, and you're at the George Street offices above Westpac there, wherever, and we had Slady in the room, there was yourself. I think Mairead might have been there, I'm not too sure.
Dom Price:
No, probably not. I think it was JML's engineering meeting, engineering relationship meeting.
Nick Muldoon:
Right.
Dom Price:
Involved in the
Nick Muldoon:
Hall of Justice, right? Not Hall of Justice.
Dom Price:
Not Hall of Justice. Avengers.
Nick Muldoon:
Avengers. When was the last time you were in Avengers?
Dom Price:
A long, long time ago. A long, long time ago.
Nick Muldoon:
You've been working from home full-time since March, right?
Dom Price:
Yeah. Although, actually for me I can work from anywhere for three and a half years.
Nick Muldoon:
Yeah, fair enough. Okay.
Dom Price:
The shift for me was missing the work element. I'm missing the in-person work element because being on the road a lot, having that one day or two days week in the office, there's connective tissue, I didn't realize how valuable that was. Going five days work from home is not a great mix to me.
Nick Muldoon:
No, not a great mix for me either, Mate. I was the one that was coming into the office during lockdown. I was like, "Oh." It was basically an extension of my house, I guess, because I was the only one that was coming in. But I could turn up the music and I could get some work done without-
Nick Muldoon:
Yeah. All right. Back in late 2014 when we first crossed paths, we're at JML's engineering meeting, and that was before JML had gone to Shopify.
Dom Price:
Yes.
Nick Muldoon:
We were talking about all things. I remember talking about OKRs, which was the Objective Key Result framework that we were using at Twitter that I think Atlassian was looking at for the first time.
Dom Price:
Yeah, we'd been flirting with for a while.
Nick Muldoon:
Flirting with for a while. What was Atlassian using at the time? What was VTFM?
Dom Price:
There was two things we had at the time. VTFM which was Vision, Focus Areas, Themes, and Measures, which was our way of communicating our strategy, our rolling problem strategy. But then off the back of that we had what I would call old school KPIs. Right? We'd pick goals, right, we'd pick ways of measuring those goals, but very KPI-focused and very red, amber, green scoring focused. When we were small, it worked okay. It didn't scale particularly well because it became punitive. If you were green and you hit your score, you got ignored because you were always meant to, and if you were amber or red and you missed by anything, you got punished. Right? It's like, "Please explain." You got the invite to the head master's office.
Dom Price:
We wanted a way of getting stretched into there and also be more outcome-focused, because I think when we scaled KPIs, we got very output-focused like, "What did you do this week? What's the thing that you shipped?" Actually, the thing that we forgot about, and I think it was by accident, it wasn't bad intent, but we forgot about what's the outcome or impact we're trying to have on the customer, because that happens after the event. OKRs were a way of putting stretch in there and building the idea of moonshots and big ambition. But then also, refocusing us on, what is the impact we're trying to have on the end customer, not just what's happening in the sausage factory?
Nick Muldoon:
With that end customer perspective though, did you get that with the VTFM?
Dom Price:
No. Actually, the first year we rolled that OKR, that was part of the problem. We had the VTFM because that stayed, right? That was like the sacred cow for the first year. That stayed, and we just had OKRs underneath. Yeah, and we're like, "Well-
Nick Muldoon:
So you're mixing them together.
Dom Price:
... which ones do we report? The measures in the VTFM because that's our Atlassian level plan, or the OKRs, which is the things we're actually doing and the impact that we're having. You're like, "Well, both," and you're like, "Well, they don't meet. There's no cascade up or down, left or right, that had them aligned properly." The year after we actually phrased ... we got rid of the VTFM, and we now have our rolling 12-month strategy phrased as OKRs.
Nick Muldoon:
Right. Okay. At that time, Dom, back in 2014, when you were flirting with OKRs, as you said, was the VTFM that you were working to replace, was that company, department, team, individual, or did it just stop at the team?
Dom Price:
Yeah. That's where it didn't really scale, right? The organizational one made sense, and again, when you're smaller, it's a lot easier to draw the linkage between your team or your department and the company one. As we scaled, what happened was we'd have a company level VTFM, and then each department would go and build its own. The weird thing is, and again, this works for a phase, and then you realize it doesn't, is we don't create value up and down the org. We create value across the organization, and so building these VTFMs in departments was honing our craft. But it was doing it at the detriment of how you work across teams.
Dom Price:
I think that it's one of those things that at the time, we didn't realize. If I had a crystal ball, it would have been great. But it seemed like the right thing to do. Engineering had a VTFM. So did Design, so did Product Management, and you're like, "You know we only ship one experience, right?" I don't care if engineering's perfect and design's not because that's letting the customer down because this one experience that we shipped. There was this whole sort of arbitration where we'd build them vertically, and then try and glue them together horizontally, but they'd all been built in isolation.
Dom Price:
Then When it comes to trade offs, and every business has trade offs, whether you admit it or not, when you're like the best laid plans literally stay on paper, right? That's where they exist, then reality kicks in one day after you've built the plan. When reality kicks in, what trade off are you going to make? Are you going to do the trade off that delights the customer, maybe compromises you? Right? then how do you do that internally? Are you going to help Design and Product Management and load balance that way, or say, "Well, yeah, I'm an engineer and we're fine. It's Design's fault. How we'd adapt everyone is Design's fault." We quickly realized that a vertical model brought about some unintended consequences and some odd behaviors that weren't really the kind of behaviors we wanted as Atlassian.
Nick Muldoon:
Back in that time, Dom, in 2014, 2015, did you have the triad then with the product design and later for each of those groups?
Dom Price:
In physical people, yes.
Nick Muldoon:
But in-
Dom Price:
... modeling, no.
Nick Muldoon:
No. Okay. How did that come to fruition, that triad where they were working as one in harmony to deliver that customer experience?
Dom Price:
I think essentially, it's one of those brilliant mistakes when you look back. We're really good at reflecting, and you do a few reflections, and you suddenly see the pattern, and you like, "Hey, our teams that are nailing it are the ones where we've got cognitive diversity and the balance of skillsets." Not where we got one expert or one amazing anything, but actually, you're like, "Yeah, actually -
Nick Muldoon:
If look at some of these patterns-
Dom Price:
Yeah. You're like, "Hey, I just saw that design." They get the product manager in a headlock and have a valid argument at a whiteboard. You're like, "I actually like that. That's what I like, the meeting where there's consensus and violent agreement." Maybe that's the wrong signal, right, that the right signal is this cognitive diversity, this respectful dissent. You see that, and we're like, "Hang on, we have the realization that engineers build great usable products, and product managers are thinking about the whole sort of usability and along with the designers. Viability, you're like, "Oh, we need all three. All three of those need to be apparent for a great experience." You're like, "Cool. Let's double down on that." Right?
Dom Price:
We started to hone in a lot more on how do we get the balance across those? How do we understand the different roles? Because we didn't want to become homogenous. You don't want those three roles to get on so well they all agree. You also don't want to violently disagree all the time, right? A little bit of disagreeing commits great. If they're always in disagreement, then that comes out in the product. How do you find the things that they stand for, and how they bring their true and best selves to each phase? Right? If you think about any given product or project, there are natural phases where their skillsets are more honed, right? In the phases for us, part of managing design is often a lot better with the ambiguous and a whole lot of stuff. When it comes to building, I'm probably going to listen to the engineer more, right?
Nick Muldoon:
And you're handing it over to delivery.
Dom Price:
Yeah. But then also, it's like, well, it's not the ... If you think about delivery time, I think we'd sometimes think of it as the relay race. I think that's incorrect, because everyone's still going to see the relay race. Once I've run my lap, I'm done, right? But in product development, it's not because when I hand over the baton, I still have a role. Even if it's in build phase, the product manager and the designer still have a massive role. It's just that they're co-pilots and the engineer's the pilot, right? You don't disappear, your role changes. I think that was one of the nuances that we got as we started to bring in the right skills, the right level of leadership, the right level of reflection to go, "How do we balance this across those phases, and how do we be explicit on what role we're playing in those different phases?
Nick Muldoon:
Okay, that's interesting. I'm going to want to come back to that when we turn our attention to the customers in the Agile transformation landscape more broadly. But one thing that has got me thinking about with respect to this balance is the fact that Atlassian had the discipline to hire for a triad, right? If I think about, I think this was around 2013 at Twitter, and in one of our groups, we had pick a number, but there would have been 200 people, and there would have been less than 10 product managers. I think we actually had a ratio of like 20. It was something silly like 26 engineers to a product manager. It wasn't even a design counterpart necessarily for each of the product managers. The balance was way off, and it wasn't very effective. Was there a time at Atlassian where there was this reflection? Because I'm just trying to think, in my time at Atlassian, I don't think we had maybe a great balance. I think there was a much heavier in engineering than there was in design and product.
Dom Price:
Yeah, it's one of those things that if it's not there, you don't miss it. Right? It's weird, right? It was a lot of it before my time, but when I listened to the story, it's like even design as a discipline when I started in 2013 was a very small discipline. I think even then, it was kind of like a hack to the notion where it was like, "Oh, yeah, we got some designers. They do the pixels, right? They make stuff look pretty." .
Nick Muldoon:
They do T-shirts and they do like .
Dom Price:
Who knows, right? But it makes us look pretty, right? They drink craft beer, and they sit on milk crates. We had this archetype of a designer, and then you like, "Oh, actually, once you start to understand user experience, the integration points, design languages, design standards, and the experience, once you get your first few designers who say, "Here's how our products fit together," and this is the experience from a customer lens, you're like, "Oh, I'm not sure I'm a fan of that." It wasn't badly designed, but nor was it particularly well-designed. Once you start to make some improvements, then you start to measure customer satisfaction, and you make that experience more seamless, you suddenly see the value.
Dom Price:
I think for Atlassian, I think we started as an engineering company. We added product management, and then begrudgingly added design. Interestingly, in my time there, the most recent thing we've added is research.
Nick Muldoon:
Yeah. Okay.
Dom Price:
Fascinating evolution for us again to go, "What do you mean, research? I'm a product manager. I know everything about the industry in the section of the competition." They're like, "But do you know anything about the customer, and the job to be done at the top tasks, or how they experience, and thinking about things like accessibility, thinking about how our products integrate with other products, thinking about not just from a competitive landscape, but what's the actual job to be done, and what are the ways people are trying to do that, and the drop off points.
Dom Price:
Research has become a new muscle that we had the exact same experience with. First time you roll it out, people are like, "Oh, we don't need that. It's overkill." You're like, "I see, it's really quite good." Hard to integrate because you're giving me findings I wasn't expecting, and then there was a shift both for designers, but also for the product managers to go, "Oh, I can use a resource now because you're this independent group that can help me understand, not just my product and iterating on my products, but a level up, what's the thing that my products trying to do? Who am I competing with, and what does that experience look like end to end?" It's a completely different lens.
Nick Muldoon:
Basically what you're describing there, Dom, is you've still got the triad of the product design and leads. But now you've got this. It's a centralized kind of research team?
Dom Price:
Yeah.
Nick Muldoon:
Do they drop in for particular projects in different areas?
Dom Price:
Yeah. If you think about it, if you strip it back to plain common sense, I think over time, we got really good at explore and build. But maybe we lost a little bit of the muscle around wonder. These researches are great. The blinkers are out and they wonder, right? I'm sure they physically do this as well, but mentally, they stroll, right? They go quite broad, and when they come back with their insights, you're like, "Wow, that's given me a really good broad perspective." I'll give you a quick example where we're working a lot, and we always are on accessibility. It's easy to look at your current products and start adding stuffing. Right? That's the logical way of doing it. Or you look at your competitor's products, and how do you become a pair or a peer? Easy.
Dom Price:
What our research team did was they actually got a whole lot of people with different sight and mobility issues, and said, "We're going to now get you to use our products and go through some key tasks." They're already using it, but it's like maybe they're on a screen reader, or maybe they can't use a mouse, they can only use keyboard shortcuts. You suddenly see the experience through their lens, and we record it, and it's tracking eye sight and line of sight using all the actions. You've got this level of detail there where you're like, "Well, I know we're trying to build empathy, but actually seeing that experience firsthand is completely different than trying to think about it."
Dom Price:
You just seeing it through the lens of this person. The research team did weeks and weeks and weeks of research with different users, different backgrounds, different disabilities, different products and different tasks to give all of our teams the sense of what is it like as the actual person. Here, you can actually walk in that person's shoes, or it feels like you are.
Nick Muldoon:
If you're a product manager and a designer, and you're ... Because it sounds to me, Dom, like that sort of investigation or exploration that you're describing there with respect to mobility-impaired or sight-impaired people, that's something that it might be hard for me to bring that into my OKRs for our product. For that triad, how do I have ... I'm trying to push forward and chase down monthly active users, or cross-flow, or whatever it happens to be, and that's much more long-running. It's like it's a long-running thread that's just going to stay open for 18 months while we think about this stuff and have these conversations. Does that research group, do they actually have their own OKRs, and are those OKRs annually?
Dom Price:
Yeah. Yes and no. We do mostly OKRs across design, research. We now have a ways of working team. They tend to be shared OKRs or more cross-functional, are cross-functional to shared. The cross-function as in we have the same objective, but different key results.
Nick Muldoon:
Yeah, okay.
Dom Price:
If you think about accessibility as an objective, the research team, their key result is about having the latest greatest research and insight so that we can learn and understand. You're like, "Cool, that's your task." Right? The design team, your OKR is to take that insight and turn it into some designs, usability, and then you can actually go along the value chain, and each different person in that value chain has a different OKR.
Nick Muldoon:
Okay. Still today though, there's no OKRs at an individual level, right? It's all team, group-based?
Dom Price:
We have odds and sods. I've dabbled with it a little bit. Sometimes I think I've always got individual OKRs. The question is whether I share them or not. I think if you think about the majority of knowledge workers, they will have individual goals, "I want to learn a new skill, I want to acquire a new "
Nick Muldoon:
Honing the craft.
Dom Price:
Yeah, right? Whether you write that down and it benefits you or not is not up for debate. When it came to writing them down in a collective, having a single storage of them, any kind of laddering, I think the cost of that is higher than the benefit. Right?
Nick Muldoon:
Okay.
Dom Price:
We strayed away from saying everyone then must have individual OKRs, and then ladder, whatever, because it ends up getting very, very cumbersome, and actually very command and control. What we've done instead is really say to our leaders, and this is leadership by capability, not by title, but saying to our leaders, "This is part of a conversation you should be having on a regular basis with your people around growth, and how you're inspiring them, and how you're motivating them. How are they developing and evolving? What are the experiments they're running on themselves? Right? How are they with other people? What are their challenges, and how can you help them never get those challenges? What are their points of amplification that you should be calling out with them to turn the dial on that? Right? What are their superpowers that we should be really encompassing, right, and nailing?" That's part of a leadership conversation. Does that need to be written down and centralized? No. To me, it becomes a zero benefit to documenting that.
Nick Muldoon:
It's interesting hearing you describe that. That's very much learning and development-focus. If I think back to Andy Grove's High Output Management, my understanding of that at an individual ... of OKRs and an individual level was always with respect to your customers. What am I going to do for my customers? But you've actually framed it, what am I going to do for myself that's going to allow me to be in better service to my customers, maybe next financial year?
Dom Price:
Yeah. It's a secret. I'm guessing this is shared by Atlassian, but this is definitely my view of the world, and I've shared this with enough people now where they understand. You can't be a great teammate if you're not turning up your true best self. You got to take a step back. There's this whole weird narrative around the humility of being a teammate where you're like, "I'm a martyr, and I'll take one for the team." It's BS, because if you're not in the right zone for that team activity, you're not giving your best, right? You're actually the anchor that brings the team down. You step back from that and you say, "Well, how do you be the best?" Because not all work is teamwork. There's a lot of deep work and individual tasks and stuff that needs to be done. You're like, "Right, I need to be the best version of me. Well, what's that mean?"
Dom Price:
It means that before any meeting, I need to have done my tasks, or before any meeting, I need to have done my pre-meeting, right? If we're meeting as a team and we have this synchronous activity, what are the things I need to do to be best prepared for that synchronous activity to deliver the most value? How can I get the most out of that teamwork? How do I turn up and be present? How do I turn up with respectful dissent and challenge, right, and provocation? That requires me first to be an individual. Right? I think one of the dangers in a lot of work environments right now is people have lost the understanding of what it is to be an individual, what your key leadership style, your learning style, how do you turn up? Right? How do you critique? How do you take feedback? All these things that make you you, you need to know those and be aware of them before you can be great in a team environment.
Dom Price:
It's not just the tasks. You need to know you. If you're a great individual, and you've honed that, you can then be a great teammate, and if you're a great teammate, you can deliver great outcomes for your customers. Anything else is an accident, right? We've all been in accidental teams, which has delighting a customer, and we've sat there and gone, "Really not sure what I did to that guy. I'll take it. I'll take the pat on the back. I'll take the kudos, and the bottle of wine, and the congratulations. Not really sure I amplify that. I don't know. If you don't know, you probably didn't. Right? That's not humility. You're probably just a passenger. I think the danger in growth environments is there's lots of passengers who they're a passenger to lots of success, and after a while, they're like, "I'm amazing." You're like, "You're not. You've just been in the right place at the right time repeatedly."
Nick Muldoon:
I got to process that.
Dom Price:
Let me give you an example. Right? A couple years ago, I was in New York with a mate of mine, Sophie. She's unofficially mentored me and helped me a lot of the years, right? I'm talking to her about trying to scale me, and I was really angry about some stuff, and thankfully, it was late afternoon in New York. She bought me [inaudible 00:25:30]. We smashed a drink and we chatted away, and she's one of those people that just calls BS on you, right? I'm like, whinge, whinge, whinge, whinge, whinge. She's like, "Oh, cool." She's English as well. She's like, "So I'm guessing you're just going to whinge about it and hope it goes away." I'm like, "All right, fair point. Little bit, my English came out. I actually hoped that maybe even if I did whinge long enough, it would actually disappear." She's like, "That never happens, does it? What are you going to do about it?"
Dom Price:
We chatted when she gave me this challenge, and she's like, "You're not evolving." She's like, "You're adding stuff in, but you're full." She's like, "Cognitively, Dom, you're full." My challenge was I was reading all these business books at the time, and I knew lots of stuff, but I didn't feel any smarter. I wasn't doing anything with it, and it's creating this frustration spiral. She gave me the exercise, and you've probably seen this, the four Ls. She got a bit of paper, and she's like, "All right, write the four Ls down. Reflect on you as a leader. This is selfishly purely about you as a leader. Last 90 days, what have you loved? What have you done personally?"
Dom Price:
I'm like, "Oh, no, no, no, no." She's like, "Not like, because we're not doing likes here, right? We're not being soft. Loved, and own it. Actually, superpower, do more of it." We did that, very uncomfortable few sips of wine. Then she's like, "What's your loathe and what's your longed for?" I had lots of long fors, long list of those, but no loathed. She's like, 'All right, here's the problem. The long for, you're sprinkling in in the 25th hour of every day. No wonder you're not doing well at it, because you never giving it the ... You're not giving yourself any space, or time, or freedom to actually experiment. You're not growing. You're not getting better. You're just adding stuff in." I'm like, "Fair point."
Dom Price:
We went through, found some loathe. She's like, "Right, you're going to remove those. Who are you going to tell those habits, or rituals, or whatever, who are you going to tell that you're removing those because they need to hold you accountable? Because they'll slip back in really easily." I found someone, pinged them. She's like, "Right, the longed." She's like, "I need to let you know that when you add them in, you're going to be crap at them." I was like, "I don't want to be rubbish at anything. I'm a leader. I need to be a superhero. I need a cape, and I need to fly in, and everything must be perfect first time." She's like, "No, the first time you added a longed for, the chances are you'll be rubbish at it. Find someone who has that muscle and let them help you practice it, and you'll get better at it over time."
Dom Price:
Then the fourth L was what have you learned? What experiment did you learn yourself last quarter? What did you learn about yourself?" She's like, "Right, go and tell as many people as you can. That'll build a place where you're learning and networking environment for you." I did it, and then I did it again 90 days later. There's a few times when the power of rationalization kicks in, and I just BSed myself because really easy to do. Then other times where I've got really deep and analyzed on it, and it's enabled me every 90 days to evolve, right? Now, the moral of the story, and this is where we tie individual to team, the number of leaders I know in big businesses driving transformations, but they're not changing themselves. What behavior are they rolling with? They're rolling with the behavior of, "I'm fine. You're not. You all need to change," which is-
Nick Muldoon:
Yeah, role modeling status quo.
Dom Price:
Yeah.
Nick Muldoon:
Yeah. That's interesting. I've certainly heard of the love versus loathed exercise. I like that you, or that Sophie extended it to longed for and learned. I think that's really beautiful, and I'll take that. With the loathe in particular, were there things on that list that you had to delegate or you had to hire someone to do? Because there's things that I think about that I loathe with respect to the business, and typically, they're things about orchestrating, paying suppliers, or whatever it happens to be. How do I address that? I bring the bookkeeper into the business that-
Dom Price:
Yeah. The little game that we played is you're not allowed to outsource it until you drop it. Right? The idea is, you're going to find a way of dropping it first, because maybe it doesn't need to exist, right?
Nick Muldoon:
Okay.
Dom Price:
Because you've worked at big companies, and you walk around a big company, and you're like, "That person there, they only exist to do a task that someone probably could have automated or got rid of," but they didn't have the time. Also, they put a warm body in the way. Then you add another warm body, another warm body, and you suddenly realize you've got thousands of warm bodies keeping this deck of cards stacked together, and if one card falls, the entire thing comes tumbling down. I removed stuff that I was really uncomfortable removing stuff. I was like, "This is so important." It wasn't. My blinkers were just off, right? Then she's like, "We'll stop doing." She's like, "It's not life or death." She's like, "No, thanks, Dom. Well, you're not a surgeon, so stop doing something, and listen, and see what happens when you stop doing it." I'm like, "Oh, no, but these are really important. People will be angry. I'm a very important person." You remove something and no one bloody notices. You're like, "Why have I been doing this?"
Nick Muldoon:
Why was I doing it? Yeah.
Dom Price:
Yeah. Then I-
Nick Muldoon:
Can you-
Dom Price:
One of the big examples for me was meetings. This wasn't a delegate or [inaudible 00:30:24]. This was me just being a control freak, and turning up in meetings where I wanted to be there just in case. We looked at my condo, just a sea, I use Gmail, right, the sea of blue of all these meetings, double booked, triple booked. She's like, "Right." She's like, "Imagine you've got to set yourself a goal of getting rid of 15 hours." I'm like, "What? It'd be easy to create a time machine that adds 15 hours a week. I can't remove 15 hours of meetings. I'm a very, very important person." Then we played this game called Boomerang or Stick. I declined every single meeting, and I sent a note saying, "This is either a boomerang," in which case it comes back, or if it's a stick. When you throw a stick, it doesn't come back. The boomerangs, I want to know what the purpose of the meeting is, what my role is in the meeting, and what you're going to hold me accountable for.
Dom Price:
Two thirds of the meetings didn't come back. Right? The ones that did, I honestly admit to you, I was playing the exact wrong role in virtually all of them. It was funny because I get these emails back and they're like, so one of this meeting I was in, they were like, "Your role is the decision maker." In the next meeting I was like, "I need to apologize. I thought I was the protagonist." Every time they were suggesting something, I'm like, "Well, you could do that, or these three things." I was sending them into a complete spiral, and they were like, "You're a terrible decision maker." I'm like, "No, I'm a good decision maker when I know that's my job because this isn't your title. Your title stays-
Nick Muldoon:
Ah, Dom.
Dom Price:
... the same, right? Your title stays the same, but your role's different in every environment, every engagement, your role is different. We don't call it out, we just assume. Once we clarified those assumptions and realized I've got them all wrong, the meetings I was in, I was way more effective in. Two thirds of them didn't come back. Either the meeting [inaudible 00:32:09], or it didn't need me in that. If you think about it, and me and you know this, our most precious resources are time.
Nick Muldoon:
Time. Yeah.
Dom Price:
Why are we giving it away for free or for negative cost? Right? I'm like, "No, I'm growing all that stuff back."
Nick Muldoon:
Liz and I have been having this conversation for a while now about statistically speaking, I've probably got 50 years left on earth, based on how long a Caucasian Australian male lives. But I've probably only got 40 good, usable years left, because then you kind of like atrophy and all that.
Dom Price:
Yeah.
Nick Muldoon:
Yeah. Liz and I have been going, "Well, if we've only got 40 summers left, what are we going to do with 40 summers?" It's a really good exercise to bring you think real quick, what do you want to be spending your time on?
Dom Price:
Yeah. Absolutely. It's the same thing. You can do that at a meta, macro level for life, and I think you can do it on a annual quarterly basis. With work, there's so many things that we just presume we need to do, and both the four Ls and just my attitude has enabled me to challenge those and go, "Well, I just say why an awful lot right now." So it's like, "I'd like you to come to this meeting." I'm like, "Oh, cool. Why?" They're like, "I don't know. I'd like you there." I'm like, "But why? Because if you can't explain to me what you want me to do, then you probably don't need me there."
Nick Muldoon:
Five whys, right? Five whys.
Dom Price:
But also the reason I'm often asking them why is I'm like, "You do know I'm a pain in the ass when I do come to the meeting, so just I want to double check to you, you really want me there. Because if you converged on an idea and you want to ship it, don't invite me. All right, I'm the wrong person." Just challenging on that and getting that time back, and then using it for things that are way more valuable. I rebalanced my portfolio just like a financial advisor or a market trader rebalances a financial portfolio every quarter, I did the same thing with me. If I don't, then what I'm saying is when I don't do that, I'm saying the version of me last quarter is more than good enough for them for next quarter. What I'm saying is-
Nick Muldoon:
Yeah, which is never the case, is it?
Dom Price:
Yeah, I'm saying the world's not changed. The world stayed flat, right, and everything's going on a flat line. That's not the case. If I'm not evolving myself at the same pace as Atlassian or our customers, then I've become the anchor by default. I'm the anchor that slows us down.
Nick Muldoon:
Tell me, what portion of your time today are you spending with customers? Because I know over the years in our conversations, I think about a lunch we had at Pendolino, you, Dave, and I, probably two and a half, three years ago now, but we were talking a lot about Agile transformations at the large end of the spectrum. How much time are you spending with customers today, and what are those conversations like?
Dom Price:
Yeah. I'm probably over the 50, 60% mark right now, but mainly a rebalance again. When COVID hit, the conference scene disappeared, and so I'm like, "Cool, I get to reinvest that time. I could reinvest it internally at Atlassian, and I did do it where we're evolving our ways of working internally and driving some change there. I got involved in that, made sense. But I was like, "Hey, our customers are struggling." First of all, we need to understand how and why they're struggling, and then if we can help them, find a way of helping them. It's funny how the conversation really changed from quite tactical, yeah, 18-month plans and presumed levels of certainty, to going, "Hey, the world's changed. The table flip moments just happened. Our business model has been challenged, our employees are challenged. We're having these conversations about people, wellness, and actually, we've said for years we care about our people, but now we actually have to. What does that mean? All the leaders just trying to understand the shift from peacetime to wartime-
Nick Muldoon:
To wartime.
Dom Price:
... to time peacetime. I think that it's funny that the transition from peace to wartime, I think the shared burning platform, the shared sense of urgency, I think a lot of these transition, they're okay. I wouldn't say they're amazing, but they weren't awful given that mostly the Sydney in Australia haven't manage through wartime. Right? We've had an amazing economic success for a long time. The harder bit, the way more complex bit is going from war to new peace, because new doesn't look the same as old peace. Right? It's a very different mindset to go-
Nick Muldoon:
Who is-
Dom Price:
... about managing in wartime is I don't need approvals because it's a burning platform. We just drive change, just do it, just do it. New peace is different because we're like, "Well, how long's this going to last for? What are the principles I want to apply? How do I build almost from a blank piece of paper?" Very different mindset.
Nick Muldoon:
Was that Ben Horowitz with the hard thing about hard things where he talked about war versus peacetime leaders?
Dom Price:
I've read it in a few things. The most recent one I read-
Nick Muldoon:
Hear different places.
Dom Price:
... in was General Stanley McChrystal. He wrote Team of Teams.
Nick Muldoon:
Okay.
Dom Price:
He did one on demystifying leaders and how we've often put the wrong leaders on a pedestal, and there's some great leaders out there that just didn't get the credit because they were way more balanced. But yeah, there's a few different narratives out there on it.
Nick Muldoon:
With the latest that you're meeting with, I guess, well, one, are they using something like the four Ls that Sophie shared with you?
Dom Price:
Yeah, that's become a lot more popular, I mean, certainly with C-suite and the level down, even board members, actually. When I share that, there's this kind of moment of reflection of going, "Yeah." It's because I get them with the irony of going, "Question one, are you driving a transformation?" They're like, "Yes." You're like, "Cool. Are you transforming yourself?" "No." By the way, reading a Harvard Business Review article on Agile doesn't mean you're evolving yourself. That means you're educating yourself. That's subtly different. We've all read the article. It doesn't make you an expert, so sit yourself down. That is the first moment of getting them bought in.
Dom Price:
Then the second one is just saying to them, "Just be honest right now, what are the things you're struggling with?" For a lot of leaders, it's this desire that they get the need for empathy, vulnerability and authenticity, they get it because they've read it. They understand it, they comprehend it, they find it really hard to do. Right? A lot of them are leaving as a superhero leading through power and control. They've led through success, but they're not led through a downturn and a challenging time, and they're just questioning their own abilities. There's a lot of, I don't even want to call it imposter syndrome, I think there's a lot of people just saying, "I think my role as a leader's just changed, and I don't know that I understand the new version." That's quite demoralizing for a lot of people. It's quite challenging.
Dom Price:
The irony being is that the minute they look to that and talk about it, they've done the empathy, vulnerability, and authenticity. They've done the thing they're grasping for. But instead, they're trying to put this brave face on it. In a lot of organizations, I've seen a lot of ruinous empathy. A lot of people buffering from their team, like, "Nick, I don't want to tell you that bad things are happening in the company, because I don't want you ... I think you're already worried, because I won't tell you that," without realizing that you fill in the gaps, and you think way worse things than I could ever tell you. The information flow's changed, and then for a lot of leaders, the mistake I've seen on mass is they have confused communication and broadcast. Right? Communication is what I hear and how I feel when you speak. Broadcast is the thing that you said. Because of this virtual world, there's lots of loom, and zoom, and videos, and yeah, we're going to broadcast out.
Nick Muldoon:
Broadcast a lot. Yeah.
Dom Price:
But we're getting to listen for the response.
Nick Muldoon:
This has to be a very challenging time for a number of leaders today, but 2018 or 2008, there were a lot of leaders back then that probably, I presume, picked up a lot of scar tissue around GFC. How many of the leaders that you're chatting with today would have picked up scar tissue through the GFC, and they're still finding this kind of a feeling, at least, like it's uncharted territory?
Dom Price:
Well, and that's, I think, the byproduct. I was going to say problem. The byproduct of the Australian system is we've dodged the bullet in 2008. Economically, we did not get the same hit that the rest. The stock markets got a little hit, and a whole lot of other things took a little bit of a dip, but nowhere near that the size or magnitude of the rest of the world. Both through the mining boom, yeah, the banking sector, a whole of other tertiary markets around tourism doing well at that time, you're like it was a blip, but it wasn't a scar. I think that's where there's a lot of countries have got that recent experience to draw upon, like, "Here's how we do this. Right? Here's how we bunker down. Here's how we get more conservative. Here's the playbook for it." I think a lot of countries haven't got that playbook, so they're getting at it, right? They're doing it on the fly. I think there's that.
Dom Price:
But also I think this one's just different. The global financial crisis was a financial and market-caused issue, right? This is a health pandemic-caused market downturn. I don't think we've got a playbook for that, because we don't know the longevity of it. -
Nick Muldoon:
If you-
Dom Price:
Go on.
Nick Muldoon:
Yeah. No, sorry, Dom, I was just going to ask, if you cast your mind back to GFC, were you anxious going through GFC? Have you been anxious this year?
Dom Price:
No. I wasn't anxious at all through GFC because it felt like ... I did a recession in the UK a long, long time ago, and so I've been through that downturn. I've worked in companies that had downturns, even if the general economy was fine, and industries that had shrunk, where at the end of each quarter you're like, "Right, we talk about the books. Who are we letting go? What projects are stopping?" It was always the taking away, not the adding. I've been through that. The thing that made me anxious about 2020 was, this is the first time I think we've had this level of uncertainty. It's funny because a lot of people talk about change fatigue. I actually think humans are quite good at change. I think we actually do that quite well. But uncertainty, we are terrible with.
Dom Price:
It's weird how when we get uncertainty, how different people respond in different ways. Some like to create a blanket of certainty and wrap it around them like, "Now, here's what I know, and this will come true." You're like, "Maybe [inaudible 00:42:16]." I like your blanket, it's comfortable. But it's not necessarily real, right? It's not going to shelter you from the things that we genuinely don't know about. This is where agility has become key, or nimbleness has become key because if I look at the leaders in the companies that are listening, they're actually attentive to their customers and listening, they're the ones that are evolving really quickly, because they've got ... not only have they got the nimbleness as the muscle, but they're listening to cause correct. The ones that have ... think they've rolled out agility in the last few years, but never added the customer bit, they've got small, fast, nimble teams just running around in circles.
Nick Muldoon:
They're not heading in a particular direction. Yeah.
Dom Price:
Yeah. They are clueless, right, because without that overarching like, "Why are we doing this? And that customer that we care for, we still care for, how's that customer's world changed? Right? Because if that customer has changed, how can we change with them?" A lot of companies haven't done that yet, and I think it's some are holding the breath and hoping for the best. Some are just too fixated on, "But we have a plan, and if we stick to that plan," I read a book somewhere that said, "If you stick to a plan, you'll be fine." You're like, yeah, the world just shifted around you. Your plan might not be as relevant.
Nick Muldoon:
It's making me think, Dom, about the Salesforce transformation, Agile transformation in 2006. That was one of the big bang, I think it was one of the early big bang Agile transformations that took place. I don't know if it was Parker Harris or how it actually played out, but the leaders of Salesforce basically said, "You're going to change to Agile. You're going to give this thing a go. Otherwise, all is lost." There's been other examples. I think shortly after, LinkedIn did their IPO. They pulled the end on call, they stopped everything to rework how they work. Is 2020 one of those years? Are the best companies going to take advantage of this as an opportunity to retool how they work? Then the other companies are just going to kind of atrophy and slowly decline over the next five?
Dom Price:
I think the best ones probably built some of the muscle already, the ones that are now reacting, right? I think if you are aware of the market, all COVID's done is put an accelerant on the stuff that was changing anyway. Right? Yes, it's not ideal, but it's stuff that was happening regardless, right? I think we really had five or 10 years to equip ourselves, and we got given three months instead. I think a whole lot of companies that saw those patterns emerging, changing people habits, technology, practices, ways of working, customer demand, experience demands, you put all those together, that's why Agile transformation has been a massive hit for the last three, four, five years, right? The ones that were prepared for that are awesome. The ones that responded quickly, that are like, "Brilliant, don't let a crisis go to waste. What can we do?" They'll do well. The ones that have dug their heels in and are being stubborn ,saying the world will return to normal and it's just a matter of time, they're the ones that I fear for, because that atrophy that may have been a slow decline, I think that becomes a cliff. Right? Because in a consumer-
Nick Muldoon:
Slow decline, and then they just fall off the edge at some point.
Dom Price:
consumer world, consumers spending goes down, sentiment goes down, and relevance suddenly becomes really important. Is your product relevant to your customers? The people that understand that, and then have agility in how they deliver it, that's a winning combination. I think the interesting, I was talking to a friend about this on the weekend because they were like, "What's the difference between the successful ones and the not successful ones?" It's hard to pinpoint a single reason. But the one that stands out for me is the Agile transformations that have been people-centric are the best. A whole load of them were tool-centric or process-centric. I will send all my people on a training course. I'm going to make you agile, I'm going to give you some agile tools. Go. You're like, "Did you change their mindset? Did you change their heart? Did you change the things that they're recognized for, their intrinsic motivations? Did you change those things?" Because if you didn't, their inner workings are still the same, right? You've just giving them some new terminology.
Nick Muldoon:
I think that's a really, really, really good point. I go back to if I cast my mind back to the first Agile conference that I went to over a decade ago, the conversation back then was very much around training the practices, teaching the practices to your people, and then it evolved into a tooling conversation. But again, teaching the practices and software are just tools, and it was probably 2013, 2014, I guess, when the modern Agile movement came out, and they were talking a lot about psychological safety. Go back to where we started the conversation, right?
Dom Price:
Yeah.
Nick Muldoon:
Psychological safety, bring your whole self to work, and that will free you and enable you to do something tremendous for your customers. Give me a sense of the customer conversations that you've had throughout 2020. What percentage do you think have psychological safety, truly have that psychological safety?
Dom Price:
Yeah. I have to remind myself that psychological safety isn't an all or one, right? It's a sliding scale. I would say it's improved, where it's done with authenticity. The danger is, it becomes a topic where people are like, "I was working from home. There's an increased chance of stress, it's a whole of a change. Things are going wrong. Oh, I know what, let's just talk about psychological safety a lot." You're like-
Nick Muldoon:
That's not it.
Dom Price:
... "There's no correlation between talking about and doing." Right? It becomes the topic, right, the fashion, right? Just like wellness and mindfulness have become fashionable to talk about, doesn't mean we've got any better at it. And so that-
Nick Muldoon:
But isn't that the thing, Dom? Agile was the fashionable thing to talk about, and so we talked about it, but nothing really changed in a lot of these organizations.
Dom Price:
Yeah. It's not dissimilar with psychological safety. What has happened though is over time, the leaders that are truly authentic, vulnerable, build that environment where you can bring your best self, and they appreciate the respectful dissent, but they will still, at the right time, disagree and commit. They're like, "Nick, I heard your view. Thank you for sharing. Our only decision at this point, we're going down Path A. I know that you're in Path B. We're going down Path A. When we leave this room, we commit to A." I hear you. You want me when we're coming to A, and here's the signals we'll assess to make sure it's the right path. If it's not, we'll course-correct. Those people are thriving in this environment, and more people want to work with them. What this environment has done is it's shone a massive light on the difference between managers and leaders. Managers manage process and they like control. Right? Leaders are about influence and people.
Nick Muldoon:
Do you think, so the fact that people are working remote and working from home, that's made it easier to see who the leaders are.
Dom Price:
Yeah, it's shone a light on-
Nick Muldoon:
Because the managers are just trying to count time.
Dom Price:
Yeah, count time, but they're also thrashing around busy work, because they're like, "I'm the manager. I need to show that I'm doing something. I would manage tasks in and around the office, and what I meant some people to do. If we're autonomous, and they just do it, then what's my role?" You suddenly start seeing business. This noise comes out of them, which isn't, "Here's an outcome I achieved, or here's how the team's doing on team cohesion or bonding." They're not talking about about big meta level things. They're sharing these transactions with you, and you're like, "I assumed you're always doing the transactions. Now, you're showing me them all. It's a bit weird." Right? It's just a behavior, right? We must have a process for that. Well, what's the process? You're like, "Actually, what about the process of common sense?" Right?
Dom Price:
If you think about pre-COVID, most organizations that would allow people to work from home once or twice a week had a giant process and policy about how you apply to work from home that one day a week and everything, and then suddenly they're like, "Well, actually, we can do that. Everyone's going to go work from home." But now things have settled down a bit, the process police and the policy police are coming back again going, "But what about, what about? We pay Nick to do 40 hours a week, and what if he didn't do 40 hours?"
Nick Muldoon:
40 hours a week.
Dom Price:
Who cares? Nick delivered his outcomes and his customers are over the moon. As long as he's not doing 80 hours and he's not burning out, doesn't matter? Right? The idea of 9:00 to 5:00, Monday to Friday as a construct is being challenged. The idea of you needing to sit at a physical desk for eight hours a day to do your work, when actually at least half of your tasks you can do asynchronously, that's been challenged. But for the managers who want manage process and control, they're like, "But if Nick can work from anywhere, and we trust him to do the right work, what do I do? I'm his manager. You're like, "You could inspire him. You could coach him, mentor him. You can lead him, you can help him grow, you can do a whole lot of stuff. Just don't manage his tasks for him. He's quite capable of managing a to-do list." It's challenging that construct again. For a lot of people, that's uncomfortable because that's a concept that we've just stuck with for years.
Nick Muldoon:
This is going to lead to a lot of change. I guess I've been thinking with respect to remote, Dom, I've been thinking much more about the mechanics of remote work and logistics around pay scales, and geographic location, and pay, and all this sort of stuff. But you're really opening my eyes to a whole different aspect. There are, in many large organizations, there are a lot of middle managers, and if these roles are no longer valuable, what do all these people do, and how do we help them find something that they love and that they long for? Because presumably they've not longing for-
Dom Price:
Yeah, that's the thing.
Nick Muldoon:
... task management.
Dom Price:
Yeah, yeah. They're probably not deeply entrenched in that as being something they're passionate about, right? It's just like they found themselves in this role. This is the interesting thing. If you look at rescaling, I've been looking at rescaling for a few years as a trend, right? How do we look at the rate of change in both technology, people practice, whatever else? That means that we're all going to have to rescale, right? The idea of education being up until the age of 21, and then you're working 45 years doesn't exist, right? So lifelong learning. You look at that, and you go ... Amazon did a great example last year. Bezos and Amazon put aside a billion dollars to retrench a thousand people that they were going to dispose. Right?
Nick Muldoon:
Yeah, yeah, yeah.
From their warehouses, right?
Dom Price:
Yeah, yeah. They're on automation to displace those people. What was came out recently and said, there's I think, it's like 1,500 people who will be displaced because they're going for fully autonomous distribution centers. They're looking to retrain those people and redeploy them elsewhere. You're like, "Cool, how are we doing that?" The reason I mentioned it is I think we assume it for low skilled, high volume tasks, because that's associate what we've associated with technology disruption in the past. But if you think about it, there was I think about a year and a half ago, McKinsey had a report called The Frozen Middle Layer. It was about how this frozen middle layer was going to thaw and be exposed, right, as these middle managers. There's thousands of them. That phrase, the middle layer, COVID just poured the icing on that. Right? [inaudible 00:53:26]. They're all going, "What? Me? No, no, I've only got 10 years left in my career. Let me sit here, manage a few tasks. I'll take inflationary pay rise every year. I won't cause any trouble." You're like, "I don't know. You can retrain here."
Dom Price:
These people haven't been engineered to think about retraining before. They've been engineered to think about comfort and conservatism and safety. I think we need to appreciate that they still have value in the workplace. I just don't think it's the old value. For them, the four Ls-
Nick Muldoon:
This is going to be a huge shock to this frozen middle layer, as McKinsey called it. I think about so we're Wollongong, Port Kembla. We're in a working class, steel town, and over the course of, pick a number, over the course of 25, 30 years, 20,000, 22,000 people have been let go from the steelworks and they're been told to retrain. I'm sure a portion of them do, but a lot of them that are older, like you're talking about someone that's in their 50s that's got 10 years on their career, right, they probably just took early retirement, and maybe they found something else to do in the community, whatever it happens to be. What are the structures that we provide for this huge crew of people to get them re-skilled in our businesses so that we don't lose the tacit knowledge and get on to the next thing? How's Atlassian thinking about this?
Dom Price:
It's also about front-loading it, right? We have to hold our head in shame as a general society, how light we leave it. When I hear stories about those steelworks closing down, and you're like, "Why are we surprised by that? Why are we surprised when Holden stopped developing cars in Australia? Really? But really, you're surprised?
Nick Muldoon:
We saw it coming.
Dom Price:
Yeah.
Nick Muldoon:
We propped up the car industry in Australia for 35 years.
Dom Price:
Yeah. You put tariffs on anyone importing to make your own industry look good, and then those tariffs go away, people are looking for cheaper. Unfortunately, we signed up for a global economy, right? It's a borderless business model that we're in, and whether you like that or not, it's what we signed up for. The reality is instead of reacting each time this happens when it's normally too late, how can we respond? How can we use these brilliant algorithms and data managing to go, "Here are world economic forum future skills, here are large employers, here are other skillsets about people." You try and give that out, and you're like, "These are the ones most at risk, and they're at risk over the next 18 months." Cool. Start retraining them now, but not when they're out of the job when they go, "Well, now, I'm out of my job. Now, what do we do?" You're like, "I don't know. Buddings? I don't know."
Dom Price:
We've got way more data and insights than we probably give ourselves credit for. I think one element is front-loading it, and the next one is saying, "How do we not recreate this problem again?" If you look in the US right now, the largest employer, not by company, but by job type is driver.
Nick Muldoon:
Okay. Yeah, by role. Yeah, yeah, yeah.
Dom Price:
By role, right? So Uber driver, truck drivers, manual drivers, people behind the wheel driving a vehicle. Where's billions of dollars worth of investment going in, Google, Amazon and every other? Right? Autonomous vehicles. You're like, "Cool."
Nick Muldoon:
Autonomous vehicles. Get rid of all those people?
Dom Price:
If I-
Nick Muldoon:
What are we doing to reskill those people?
Dom Price:
Yeah. Or even better, what are we doing in our education system to say, "How do we help people coming through the education system be more resilient with their future skills? I don't like the idea of being able to future-proof people. I don't think we've got a crystal ball, so let's part that. But how do we make people more resilient in their skills, well, all the skills we think will be required? World Economic Forum do great research every few years and publish it, and then I look at the education system, and I'm like, "That was built in 1960. We're tuning kids out that if you talk to.
Nick Muldoon:
Hey, hey, hey, Dom, okay, okay. I'm getting anxious at the moment. Let's end on a high note. What are things that make you optimistic for the next decade? All right? In 10 years time, how old are you going to be in 10 years time? Like 45 or something?"
Dom Price:
52.
Nick Muldoon:
52?
Dom Price:
Yeah.
Nick Muldoon:
Okay. Oh, yes.
Dom Price:
Getting old.
Nick Muldoon:
Yeah, okay. Yeah, okay. Okay, so when you're 52, what are you looking forward to over the next decade? What's exciting?
Dom Price:
There's a couple of things we need to realize, right? Very first thing we need to accept is our future is not predetermined, it's not written, and it's not waiting for us. Right? We design it and define it every single day with our actions and inactions. As soon as we have that acknowledgement, we don't sit here as a victim anymore and wait for it to happen to us. We go, "Oh, oh, yeah." Then like, "We have to decide on the future. No one else does. We collectively do." That's the first step. You're like, "Oh, I've got way more say in this than I ever realized." The second one is, we need to drop a whole load of stuff around productivity, and GDP, and all these things that we've been taught are great measures of success, and just be happy and content in life. If you've got four years left, I've probably got 30 something years left, I want to enjoy those 30 years. I have no vision of being buried in a gravestone somewhere with, "Dom was productive."
Nick Muldoon:
Dom, this is great. What we've got to do for society over the next 10 years is get society out of KPIs and into OKRs.
Dom Price:
Yeah.
Nick Muldoon:
Right?
Dom Price:
And get a balance out of going, "How ... This is what I've learned from COVID, right? You know this, I did 100 flights last year. I did a few at the start of the year and trip to the UK in the middle of COVID. But I've not traveled since June. Now, admittedly, the whole work from home thing, I'm going insane a little bit, but the balance of life, like sleeping in my bed every night, hanging out with friends, meaningful connections, right, actual community. I've lived in the same apartment for three years, and it took COVID for me to meet any of my neighbors, and it took COVID for me to meet the lovely ladies in the coffee shop downstairs. I'm like, "I've lived above you for three years, and it's only now you've become a person." Right?
Dom Price:
There's so much community and society aspects we can get out of this. The blank piece of paper, if you imagine this as a disruption that's happened to us, and there's no choice, and we can fight against it, that the options we have to actually make life better afterwards. Whether it be four-day working week experiments, or actually working from anywhere means that a whole other disabled, or working parents can get access to the workforce. Funny, if you get more done. Unemployment in the disabled community is 50% above that of the able-bodied community, not because of any mental ability, just because it's hard for them to fit .
Nick Muldoon:
Logistically. Yeah.
Dom Price:
You've just changed that, right, with this crazy experiment called COVID. If we start to tap into these pockets of goodness, and actually, we sees this as an opportunity to innovate, right, and I hate the P word of pivot, but forget pivoting, to genuinely innovate, what might the world look like, and how can we lean into that? How do we get balance between profit, and planet, and people, and climate, and all those things? If we do that, we've got a chance to build this now and build a future we want that we're actually proud of. I think the time is now for us to all stand up because it's not going to happen to us ... Or it will happen to us. If we choose to do nothing, it'll happen to us. It doesn't need to. I'm really excited because I think we're going to make some fundamental changes and challenges to old ways of working and old ways of living, and we'll end up happier because of it.
Nick Muldoon:
Don, I'm super jazzed, man. Thank you. I really appreciate your time today. That's a great place to finish it up.
Dom Price:
I hope some of those things come true.
Nick Muldoon:
Okay. I hope some of those things come true, right? I feel like the things that are in our power, the things that we can directly affect, takeaways for me, I've got extending the love and loathe into the love, loathe, long for and learned. I think that's great. I also like the boomerang versus the stick with respect to your time and what's on the calendar, and just jettison the stuff that is, well, it's not helping you, or the teams, or anyone else. Yeah.
Dom Price:
You could do it like [inaudible 01:01:33]. If it ends up being important, you can add it back.
Nick Muldoon:
Sure.
Dom Price:
[inaudible 01:01:38].
Nick Muldoon:
The big takeaway from this conversation for me is that it's in our hands. The choice, we make the decisions. It's in our hands. I think about, was Mark Twain, whether you think you can or whether you think you can't, you're right.
Dom Price:
Yeah. Yeah.
Nick Muldoon:
You might as well think you can and get on with it.
Dom Price:
Yeah, yeah, give it a red-hot stab and see what happens.
Nick Muldoon:
All right, cool. Don, thanks so much for your time this morning. Really appreciate it.
Dom Price:
It was great chatting.
Related Episodes
PodcastEasy Agile Podcast Ep.19 Combining Ikigai and OKRs to help agile teams achieve great results
In this episode, I was joined by Leandro Barreto - Lead Software Engineer at Miro.
Leandro is responsible for helping engineering and product teams to be more productive through metrics and KPIs with a focus on increasing their operational efficiency. Before moving to Europe, Leandro worked for an Atlassian partner company in Brazil as Head of Technical Sales.
In this episode, we spoke about;
- Ikigai - what is it and how do you achieve it?
- The benefits of OKRs
- How can we combine agile, Ikigai and OKRs?
- How Ikigai can help agile teams achieve great results and stay motivated
I hope you enjoy today's episode as much as I did recording it.
Transcript
Robert O’Farrell:
Welcome, everyone, to the Easy Agile Podcast. We have an episode today with Leandro Barreto who is a lead software engineer at Miro. I'm your host for today, Robert O'Farrel. I'm the Growth tech lead at Easy Agile. Before we kick off this podcast, I'd like to acknowledge the traditional custodians of the land from which we broadcast today, the people of the Duruwa-speaking country. We pay our respects to Elders past, present, and emerging and extend the same respect to all Aboriginal and Torres Islander, and First Nations people joining us today on the podcast.
Robert O’Farrell:
Leandro currently works as a lead software engineer at Miro where his responsibility is to help engineering and product teams to be more productive through metrics and KPIs with a focus on increasing their operational efficiency. Before moving to Europe, he worked for an Atlassian partner company in Brazil and acted as a head of technical sales with the mission to increase the service offers in Latin America. Welcome, Leandro. It's great to have you here today.
Leandro Barreto:
Yeah. Thanks, Rob. Thanks also for the Easy Agile for the invite. It's a pleasure to be here today.
Robert O’Farrell:
Fantastic. You're here to talk about Ikigai, objectives and key results or OKRs in Agile, so let's kick it off. Ikigai, what is it? Can you give us a brief or a long explanation of what it is?
Leandro Barreto:
Yeah, of course, of course. So, Ikigai I use it to say is a philosophy of life that means like a reason for being or the meaning of life. So, the world Ikigai originates from a village in Southern Japan, where the average life expectancy of people is over 100 years old. So, Ikigai is basically divided in four components. The first, things you love. Second, something that you are good at, then something that pays you well. And finally, something that the worlds need. So, when you put it all together, then you have the Ikigai, but this is not easy. So, let me explain a little bit of each of these companies.
Leandro Barreto:
So, the first thing is something that you love, something that makes you be present, something that you must ask yourself what do you really enjoy in doing? What makes you happy? What holds your intention that makes you lose time and forget about time? So, for example, reading, dancing, singing, painting, learning, teaching, et cetera. So, maybe it's a little bit difficult to answer right now, but understanding and seeking what you love must is fundamental so that you can have a healthy balance between learning, putting it in practice, testing, failing, trying again, and keep the circle repeating itself.
Leandro Barreto:
So, an example that I can give you is, for example, I had a jujitsu teacher that no matter the day, he was always training. And one day, I remember I got my arm hurt. And in the next day, I had a message from him like 6:00 in the morning, he was asking if I was okay. And I was waking up and he was texting me like, "Hey, are you okay? Are you going to be able to train today?" And I was like, "Whoa, take it easy, man." This is very funny because our class is 6:00 p.m. And he was punctually at the tatami or dojo. I don't know the English word for that.
Robert O’Farrell:
Yeah, dojo. We have dojo. Yeah.
Leandro Barreto:
Dojo. Awesome. Yeah. And he was always punctual. And after the classes, he always said that he wants to get home earlier after the classes because he has private classes. So, from morning to night, he always keeps training and you can see the passion in his eyes when he talks about jujitsu. "It's a passion for me". A little bit exaggerated.
Robert O’Farrell:
Something that definitely got him up in the morning and kept him going throughout the day to the late evening, by the sounds of it.
Leandro Barreto:
Exactly. Yes. And then, you have the second component, which is something that you are good at. Something that you can always improve with yourself. So, for example, what you are really good at. It's quite hard to answer, but what the people say is that I'm do... something correct or what they say something positive that what I do. So, for example, I remember the book Outliers by Malcolm Gladwell that says that usually, you have to spend 10,000 hours in something practicing to be good at.
Leandro Barreto:
So, don't take it as an obstacle but as a motivation to keep going, and understand this part of what you are good at. It's a good way to improve. And the third part is what pays you well? So, money is what... Some people say that "Hey, money don't bring... It's not... how can I say that?
Robert O’Farrell:
Money doesn't bring happiness?
Leandro Barreto:
Yeah, exactly. But it puts a roof in your head. It makes you provide a good life for your family. It makes you travel. It makes you have a hobby. So, according to Maslow, for example, one of the bases of human beings is to start thinking about security. So, we have to have this security in order we can improve as a person. So, money helps you to achieve it. Yeah. So, find something that makes your life as comfortable as you desire to, as you wish to. So, otherwise, you'll always be looking for something that you never had. So, for example, time.
Leandro Barreto:
So, you will spend so much time thinking how can you have more money? And here's the glitch, you will never be paid because you will be stuck on your daily basis thinking on how to get money instead of how to improve your skills to get money. Right? And then, you have the what the world needs. So, here, the idea is to find a proposal for what do you do and what is value to the society, your proposal. And sometimes it's quite difficult to find precisely because of the plurality of positions and responsibilities that we have nowadays. And even more today with the full expansion of technology that every month we have new positions to be filled by companies that needs different type of skills, soft skills and hard skills.
Leandro Barreto:
And here, the keyword is to serve. So, I will give a personal example. For example, one of the things that I missed most when I was a young teenager was having someone who could help me to explore the technology so I can get a job. So, it was in the early 2000 and it was quite hard.
Robert O’Farrell:
Yes, very much so.
Leandro Barreto:
The internet is starting, everything is new.
Robert O’Farrell:
People on dial-up, internet was slow.
Leandro Barreto:
Do you remember that sound like prshh?
Robert O’Farrell:
Oh, yeah. It comes to me in my dreams I think. I heard it so many times in that era.
Leandro Barreto:
My family and my friends, they wasn't in the IT field. So, there is no one to help me that. So, I had to learn it by myself. Seems impossible. But it took me time to learn it and enter in a company with a good position let's say that gives me money and the possibility to learn much more faster. So, since 2013, I dedicate part of my time to teach young people, acting as a mentor to help them enter in this market so they can learn new skills. I can open paths for them, put in contact with the right people, people which is going to be important for them, and all aiming to accelerate their dev development and giving them the opportunity.
Leandro Barreto:
And this for me is very meaningful because I'm helping those who don't have any references also, and sometimes don't have a chance. And the more I serve them, the more I earn and I grow with them. So, I came across like when I was introduced to Ikigai for example, another personal example.
Robert O’Farrell:
Sorry. Before we get to that, just reiterating. So, the four components, so there's something that you really lose time in doing, something that you get into the flow of doing very easily. And then, the second component is the thing that you are very confident in doing, something that you do quite well. The third one, being something that pays you well, and the fourth one, being something where there's a need for it. So, just reiterating that. That's correct?
Leandro Barreto:
Correct. Correct.
Robert O’Farrell:
So, I guess getting to that, our second question that like for yourself, you can apply obviously in a business sense, but in a personal sense, what's been your journey there, and do you believe you've achieved Ikigai, I guess, would be my next question?
Leandro Barreto:
Yeah. Well, actually personally, I have some things that's very clear in my life. I'm still not there, but let's say that I'm in the process.
Robert O’Farrell:
Work in progress
Leandro Barreto:
Exactly. Work in progress. So, I have clear goals and I have clear in my mind where I want to go in a few years, so I don't get disencouraged if the weather is cold or warm, if the stock market goes up or down. And the only thing that I focus is to be 1% better than I was yesterday. And this provides me a security that prevents me to wasting time and things that doesn't make any sense or simply doesn't matter for me in the future. So, I take my career very, and also my personal life very serious on that point. So, yeah, let's say that work in progress.
Robert O’Farrell:
I love that word security that you use there. It draws a parallel, I think, to a word that we also use when it comes to that plan that we have, which is that focus element, making sure that we do the things that matter. Do you think that it's also given you a sense of focus too on what you take on and what you say yes to and what you say no to with regards to your personal and professional development?
Leandro Barreto:
Yeah, absolutely. Absolutely. When you know where you want to go, it's more easy to say yes or no to something that came up to you. Another personal example that I remember was something like 12 years ago, 12 to 13 years ago, my focus was to learn Java, for example, Java programming. Because I know in the midterm, I would like to be a Java architect. So, I have to improve my skills on that programming language.
Leandro Barreto:
So, during that time, the company that I was working was making some changes and then they asked me, "Hey, I know you are good at Java. You are learning, but we need you to start learning this another language, Ruby on Rails during that time. But you have to at least for the moment, forget Java." And then, I was like, "Mm-mm. No, no."
Robert O’Farrell:
It's not what I want to do.
Leandro Barreto:
Exactly. I totally understand that was a company's decision. But during that point, it begins to separate my focus on what I want to achieve from the company's purpose. So, it doesn't make any sense to continue on that company. I asked to leave. And again, best decision ever, because then I entered in another company that I learned so much. And then, in three years I became a Java architect.
Robert O’Farrell:
Yeah. That's a fantastic example of that focus. I'm quite curious out of those four components that you mentioned before, what have you found quite easy, I guess, to achieve or to at least get clarity around personally? And what have you found more challenging?
Leandro Barreto:
Good question. Good question. Yeah. So, learning something that you don't know, it's always a challenge but when you have a desire or a clear focus where you want to go in a few years, things start to be clarified for you. For example, in 2014, I did extension of my MBA in United States to learn about entrepreneurship and things that for me was really, really important. But totally new field, I have no idea what to expect but it provides me the vision to... I always had the idea to have my own company in other words. So, I know that in short term, not in short term, but in midterm at least five years to four years, during that period of time, I would like to have my company.
Leandro Barreto:
So, after I did this MBA, I came back to Brazil, and then I started to put myself in situations that makes me learn these new things. And in 2016, I open up our restaurant in Brazil. So, when you have an objective, things, and it's quite funny because the universe starts to help you.
Robert O’Farrell:
You make your own luck in a lot of regards too, I think.
Leandro Barreto:
Yeah.
Robert O’Farrell:
So, if you had somebody who was looking to learn about Ikigai and came to you for some, for your experience and your advice in how to apply it to their lives, what do you think your advice to someone would be who doesn't know much about it?
Leandro Barreto:
Good question. Great question. So, one tip that I, or advice that I can give is, and I think that this is fantastic and I apply it in my daily basis. Don't waste time in small decisions on a daily basis because every day we have thousands of decisions to make and our brain capacity is limited daily, at least daily. So, there are some times that we feel like mentally exhausted after, for example, you have six meetings in a row in a day. In the end of the day, you were totally tired. Right? And I once read that the greatest minds don't waste time thinking on small things, for example, Steve Jobs always wore the same jeans and t-shirt every day. And he didn't need to think to use it. He just took it and reuse it.
Leandro Barreto:
So, during that time, what I did in 2018, more or less when I was presented to Ikigai. So, what I did, I lived alone in an apartment in Brazil. So, I decided to change it, my life. What I did, I donated my entire wardrobe of clothes with things that I almost never used. And I was only wear eight t-shirts and two jeans.
Robert O’Farrell:
Quite a collection.
Leandro Barreto:
So, I avoid making those small decisions, especially in the morning, because in the morning, you have a clear mind and you don't have to spend those in small things, because if you think on small things, probably it'll grow during the day. So, for example, another thing that helped me a lot is plan the week. So, Google Calendar exists to be used, right?
Robert O’Farrell:
Yeah. Yes.
Leandro Barreto:
So, everything that is very important for you, events or plans that need to be done, put on the calendar. And also, talking about the clothes, separate your clothes a day earlier before you go into bed. So, you wake up more calmly, you drink your coffee calmly, and you focus your efforts on what really matters. And once you have freed your mind from thinking about these small things, you can focus your time and energy on learning new things or getting things done the way it should be. And whether it's learning a new language or a new skill, or you can also read a book in the morning because you have free time, let's say. You can focus on what matters to you exactly.
Robert O’Farrell:
Yeah. I'm quite curious about this aspect of finding something that you really get consumed by. And I think in this digital age, we have so many things that distract us. Our phone has a lot of notifications where we have a lot of information at our beck and call and sometimes it can be overwhelming to know what we should focus on, and I guess what we can really get passionate about. I'm curious, do you have any insight into that as to how people can find that thing that they just lose themselves in and that they're super passionate about?
Leandro Barreto:
Yeah, absolutely. Absolutely. Another thing that worked very well for me is to turn off all the notifications.
Robert O’Farrell:
Get a dumb phone just so you don't have that level of notifications coming through. Yeah.
Leandro Barreto:
Yeah. Because I read... I don't remember where exactly, but your brain took something like 15 minutes to focus on something. So, if you don't spend 15 minutes of your time, focus on what needs to be done. You cannot focus at all. So, what I usually do, I turn off all of the notifications from my phone. So, the principal one, I just took it off and I don't care about notifications. Also, one thing that I noticed is that when I, for example, when I had Apple Watch. In the Apple Watch, even if you turn the notifications on or off, the iPhone, it keeps doing on the phone. Oh, my God. So, this is one simple device that I can say, because otherwise, you will enter in a black hole in a community and social media and news, and then you'll lose yourself.
Robert O’Farrell:
Yeah. I found that personally with the Apple Watch, having something on your wrist that vibrates is incredibly distracting. And I was always very big champion of technology, but that was one area where I just moved away from it, went back to a mechanical watch, just didn't want that level of interruption when I was trying to focus on things. So, I think it's a really key insight to focus.
Leandro Barreto:
Yeah. In addition to that, when you, for example, when you are in a meeting with someone and you are actually expecting a message for, I don't know, maybe your family, and then it pops up on your phone and you are in a meeting, and then you take a look into the watch and the people notice that you are not paying attention because you are looking into watch. No matter why you are looking, if it's a message or et cetera, you do provide a psychology... How can I say that in English? Oh, my God. Psychology interference. Let's say it.
Robert O’Farrell:
Yep. Psychological interference.
Leandro Barreto:
Interference. Yeah. Thank you. That will provide a negative influence to other people. So, yeah, that's why you made the right choice to move into the-
Robert O’Farrell:
Yeah. I've heard some people that will actually ask people to leave their phones outside when they go into meetings or leave their laptop outside so that you're present and that you are engaged in the conversation. Because I think even the mere fact that you have your phone near you is a distraction. Even if there's no notifications, its presence is enough to ensure that you're not 100% present in the conversation, which I think is quite interesting from how we focus and our dependency on that rush that we get or that endorphin rush of getting that ping on the phone or that notification.
Leandro Barreto:
Exactly.
Robert O’Farrell:
I thought we could move on to talk about objective and key results. Or for those people that may not have come across this term before, OKRs are collaborative goal-setting methodology and used by teams and individuals to set challenging and ambitious goals with measurable results. So, to break that down further, the objective part of the OKR is simply what is to be achieved and the KR part of it, which is key results, benchmark and monitor how we get to the objective. So, getting to the heart of setting successful OKR is establishing it clear and compelling why. Is there a secret formula to creating a powerful why to get everyone on board?
Leandro Barreto:
Yeah. Great question. So, OKRs, it's all about action and execution. And I think the secret formula, let's say it's having a well-defined proposal and also everyone engaged in seeking the result as the main objective. So, companies in my opinion are made of living ecosystem called human beings. And every human being has its own desires, proposals, goals. And en suite, unite all of the objectives of both the companies and all the people together. That's when we can achieve best results. And that's why some companies are focused on the cultural fit.
Leandro Barreto:
And this is one thing that I see growing a lot in the HR area, companies and persons that must, which the cultural fit must match. It basically means that the person has the same values and desires to achieve results as most of the people in the company or what the company understand as their force that they need to keep growing as a company. And I have seen many technically good people failing in selection, in process selection, simply because they don't adhere to cultural fit. And this is much more than a psychological issue because you don't know how to say like people that cannot work as a group.
Leandro Barreto:
So, it's better for the company to hire someone who can play as a team instead of someone who is like the lonely wolf that keeps working alone. And the results is for only him and not for the entire company. So, yeah, this is the classic example that I can see. And also, one thing that is good for that is nowadays, our fault tolerance is quite good because today at least serious companies don't punish failures. So, they even encourage you to learn.
Leandro Barreto:
And the Spotify models, I remember they say like, "Fail fast and learn fast." So, that was the fail wall was born. So, where everyone shared their failures and they can learn as a team, as a clan, guild. And this is quite beautiful because you can create such an environment where everyone can learn and grow together because humans can fail. And this is normal.
Robert O’Farrell:
Do you think that-
Leandro Barreto:
And-
Robert O’Farrell:
Sorry, I'm just curious. Do you think that companies are more focused around the why these days, or that why has become more important in their measure of success? And you mentioned cultural fit and I love this idea that more companies are much more sensitive to what is their company culture and how does this person work within, or are they going to fit into this company culture? Because the existing people in that company are aligned around their why. And if someone is coming in and doesn't align with that, they understand the impact on their success. So, do you think that company's becoming more and more aware of this and more sensitive to this?
Leandro Barreto:
Yes. I think they are. So, as far as they have the right people in the right environment with the right proposal, no matter the why they will find it blindly, let's say. I think it's like a sense of behavior for the people. Because if you see someone from, as your peer, let's say, that's running to an objective that was defined by the company. And you are aligned with your values and goals. You will follow it.
Leandro Barreto:
So, this is good for both persons as human beings and also for the company because they show the proposal, they show what is the why we must be, for example, the first selling company for our product in the market, why, and then people who is working on it, they will take it as a personal objective. And this is when you make the connection between the company's objective and the people's objective because when the company grows with this why, with this north star, the people will grow together with you.
Robert O’Farrell:
I completely agree. I'm quite curious too from the opposite point of view. Do you think that employees are becoming more aware of understanding the company's why before they join the company? Because we've seen with the pandemic that a lot of companies are now moving to this remote recruitment. And so, the possibilities for employees to work for a much broader range of companies now have increased. And do you think that employees are now finding better wire alignment when they're looking for new jobs because they do have a broader pool to play in per se?
Leandro Barreto:
Absolutely. Absolutely. I think that's why Glassdoor is so popular. So, when you are invited for a meeting or for an interview, you can see everything from the company. Like from salary to feedbacks from the people who works there or is not working anymore. And then, you can see if there's a match. And this is quite funny because like 10 years ago, which is not so popular, we are blindly thinking to work, let's say, in a position like software development. So, I have to be a software developer. I have to be a...
Leandro Barreto:
So, it was more focused on the position instead of the purpose. And now we are seeing the opposite. Now, the people are looking for the purpose, what the company can help me achieve. And it's more like a win-win-
Robert O’Farrell:
Situation.
Leandro Barreto:
... situation let's say, situation. Exactly.
Robert O’Farrell:
Yeah, I couldn't agree more. And I think also a lot of people are really focused on how the company takes care of them as a person. They're very sensitive to the fact that they are committing their time to that company. So, there has to be that alignment around professional goals and personal goals. And I think that it's a great shift to see, to come back to the OKR side of things. I'm curious about what benefits do setting OKRs within an organization give or provide?
Leandro Barreto:
Yeah. I think OKRs, they are very, very simple. They do not require a specific knowledge to implement it. So, when you have the people committed and engaged to the goal and the why they want to achieve, then the implementation and using of OKRs became naturally. So, company can benefit because he's straight to the point. He's like, "Objective, it's the direction. And the key results are yes or no." So, keep it simple. That's the main benefit of the companies.
Robert O’Farrell:
Yeah. I love that. The fact that there's no gray area. You either succeed or you don't, and there's a lot of clarity around that as well.
Leandro Barreto:
Exactly.
Robert O’Farrell:
I think that with that aspect of OKRs, in your experience, have you seen OKRs set that tend to stretch the team further than they normally would be stretched in terms of what they attempt to achieve than companies that don't set OKRs from your experience?
Leandro Barreto:
Yes, but I think it matters on what the company, what's the culture of the company, because I have seen companies that is setting OKRS in the good way, but I have seen companies that is setting OKRS because it's fancy. When it's fancy, you don't have a clear objective. You don't have a clear vision. You don't have the right people. And then, it's very tricky and you will never achieve what you are proposing.
Robert O’Farrell:
I'm curious to dig into that a bit more to get your insight on that. Because as somebody who would come into a company that might be setting OKRs, how would you determine that the OKRs are probably not as clearly defined or that they're implementing a process that don't necessarily have the depth or the belief in doing? So, how would somebody come in and determine that?
Leandro Barreto:
Good question. Good question. So, the idea to have a objective is like to have something that can be... How can I say that, can provide you like a, not a fear, but it's going to be like, provides you a direction for, but the people who sees it, they think like, "Hey, this is quite hard to achieve I think." So, one example for Google, for example. So, Google in 2008, they tend to launch the Google Chrome. And as I remember, the first year was like, "Hey, this is the objective." Like, "Hey, we want to launch the best browser in the world." And the key result is the number of users because the users will tell you if the browser is good or not.
Leandro Barreto:
In the first year, they didn't achieve the key result. But the second year, they rise at the bar again, like, "Hey, now we are much than double the objective." And the second year, they still didn't achieve it. But it was very, very close to it. And the third year, they pass it. So, keep in mind that the objectives must be something that seems like a challenge, a huge challenge, but at the same time, it's very inspirational.
Robert O’Farrell:
Inspirational.
Leandro Barreto:
Inspirational. Thank you so much. For those who are working on it. So, I think this is most of the point.
Robert O’Farrell:
Yes. And what do you see as some of the pitfalls when setting OKRs for an organization?
Leandro Barreto:
Awesome. Awesome. So, the pitfalls from my perspective, there are some common mistakes when implementing OKR. So, for example, as I said, not having a clear vision of the goal, so people cannot engage. And especially when you have senior engineers because they don't want to work in something that don't bring purpose for them. Right? So, this is the first one, for example. The second one could be like a system that supports the monitoring of the results. So, you cannot follow up, which is quite important to keep following it if you are, we are close to achieve it. Yes or no? So, a good point.
Leandro Barreto:
And one thing that seems quite strange, but it's very, very common in the market is that your product is not finished yet. One personal example that I faced not quite recently, but do you play video games?
Robert O’Farrell:
When I get the time. I have two young boys, so I get very little time to do that these days. But yeah, I do.
Leandro Barreto:
Yeah. I love doing, I don't have also time, but when I have a litle bit of time, I can spend. So, this little time I try to spend in the best game that I found in the market. And here is the point because some years ago, there was a game that was released and before released, there was several gaming platforms, new sites, and et cetera, that was telling us that, "Here is the game challen... no, the game changing for the gaming market, because it's going to be very good. The marketing for this game was really, really good. And the game was like highest expectations for that. It was always in the top. "Hey, you have to play this because it's going to be very great. You are going to be having a great experience on that."
Leandro Barreto:
And the funny thing is that after they launch it, a few hours later, I notice some YouTubers who start testing the game. They began to post videos about so much bugs that they are facing. And within a week, the game had to stop selling because that was a disaster.
Robert O’Farrell:
Yeah.
Leandro Barreto:
And... Yeah.
Robert O’Farrell:
I was just going to say, I can think of a few games that come to mind that fit that criteria.
Leandro Barreto:
Yeah. Probably we are thinking the same, but I can say it, so.
Robert O’Farrell:
Yeah. Yeah. Do you find that people get OKRs and KPIs confused within an organization? Or have you ever come across any examples of that, where people misunderstand the purpose of between the two of them?
Leandro Barreto:
Yes. One thing that came up to my mind is the key result is a simple measure to understand if you are going in the right direction to your objective or not, but KPIs is it's more a performance index for performing for your team. For example, if they are performing in a good way, if we have the right resources for delivering something. And so, I think this is mainly the difference is the KPI, it's a measure for you to, maybe to bonus, to create a bonus for your team or et cetera. And the KR must be not linked to bonus or salary, et cetera. Must be like a direction. Something that, yes, we are achieving it or not. Or if not, what we have to do to correct the direction.
Robert O’Farrell:
Yeah. Fantastic. So, coming around to Agile, I'm curious about this marrying of the two, of OKRs and Agile together. How can we combine Agile and OKRs in your experience and your understanding to achieve results that drive high performance?
Leandro Barreto:
Awesome. So, as the Agile manifesto says, "People over process," so I believe whenever you maintain a fail-safe environment along with a good leadership, you can get the most of your team. So, connecting what I said earlier regarding the Ikigai and when you have a good leader, for example, in a safe environment and colleagues or peers who shares the same values and goals as you, then you can extract maximum efficiency because high-efficiency teams are teams that are focused and committed with the company results, and that will achieve great business results. Sorry.
Robert O’Farrell:
I also love that aspect with the OKRs, with that clear definition, too, that Agile, that processes is that sprint by sprint activity where you're going back and you're looping around and looking at the results of that sprint and going back to the customer and getting customer feedback and that real alignment around what you're trying to achieve as well, to give you that clarity of focus that when you are going through that sprint process, you're coming back and saying, "Okay, are we acting on the initiatives that have come out of these key results that contribute to that OKR?"
Leandro Barreto:
Exactly. And also, adding to that, that's why we have the goal for the sprint, right? So, we have the direction for the sprint. So, every sprint you can measure if you are achieving this goal or not.
Robert O’Farrell:
And I love it as a mechanism, too, to link back to that, that why piece to really give a clarity around why, which I think a lot of software development sometimes doesn't focus as much as they can on. So, I'm curious, so how can Ikigai mix into this? So, we've talked about that at the start and we talked about the components of it and it was a great framework about understanding a purpose, but how can we use that to achieve better results and stay motivated as a team?
Leandro Barreto:
Great question and also quite difficult. But yeah, I believe there are two thin lines that eventually met in the future. For example, the first one is like the individual as a person. So, how he seems himself in, within the organization and how can benefit, how this relationship can benefit from this win-win relationship. And also, the second one is like the individual as a professional. So, based on the skills that he already has. How can he help the company achieve the results more efficiently?
Leandro Barreto:
So, in a given timeline, these two lines will cross and then you will be able to extract excellent results because you will have a person with excellent internal knowledge, internal as a person, and also engaged with the companies is seeking as a greater objective, as a north star, and also helping your peers to grow all together.
Leandro Barreto:
And I think this is quite like a smile. When you smile at someone unconsciously, you make the other people smile too. So, when you have someone who is genuinely working with a proposal, that person will contaminate other in a good way. And then, you have a continuous string of people delivering consistent results. And I think this is the most important.
Robert O’Farrell:
Have you experienced that yourself where you see someone working with purpose and contaminate or infect how you... infect is again, not a great word, but inspired is probably the best word there, inspired the people around them to work in a similar fashion. Has that something that you've witnessed yourself?
Leandro Barreto:
Yes, yes. I remember back in the company that I was working in Brazil, that was my first day. I was like, "Hmm, there's something strange here," because everyone is so passionate on delivering their best results for their customer, that this thought influenced me in a positive way to start being like hungry for good results, not only for the company but for me as an individual, as someone who have to learn and teach others. And nowadays, I see these companies, it's achieving a great results with a great leader because even if we have a good team, we have to get someone who is a servant leader, who you can follow and maybe follow blindly in a good way. But yeah, I experience it.
Robert O’Farrell:
That's fantastic. But I'm interested, is there anything that you wanted to talk about personally with regards to either of those three topics or even outside of that, that has been inspirational, I think, in your professional development, in your personal life?
Leandro Barreto:
Yeah, absolutely. Absolutely. I think Leandro five years ago was totally different person. And when I started looking, not only by myself inside me, but also outside and the opportunities that the world can give me and how can I serve back this, or how can I provide this back to the world? This is very funny because good things start to happen. For example, I never imagined to be working here in Amsterdam. And now, I'm here in Amsterdam, working in a great company with great people, delivering such great results, which is giving me a lot of knowledge to keep learning and keep the wheel turning on, keep the cycle.
Leandro Barreto:
And I think today, like performing the best Leandro's version ever, maybe tomorrow, a little bit more, and I can provide this knowledge to other person and I can also learn from other persons, from other people. And that's very exciting. I think that's what motivates me to wake up in the morning, do my sport things like running and jujitsu, and then let's do the work.
Robert O’Farrell:
That's fantastic. I love that, that reflection on the past five years, how far you've come. It sounds like you've had a lot of inspiration from a number of different sources, but is there something in there that you think was key to that? Or was it just a general progression over that time?
Leandro Barreto:
Yeah. Yeah. Actually, I tried to focus on people who have positive influence on others. So, I try to be more not equal because if you are equal, so you are the same person, so it doesn't provide value to the others, but try to be quite different in your own way. So, yeah, basically, that's what motivates me to get different sources of references and trying to be the best version of myself.
Robert O’Farrell:
That's fantastic. I love this mix of the philosophical, which is for me, the Ikigai, and the concrete, well, not concrete, but the workflow aspect of the Agile side of things coming together. Have you traditionally worked in Agile methodologies or did you transition between that may be starting, because if you're from the 2000s, so you probably touched on Waterfall at some point in the past and then came into Agile. Was that your professional progression over that time?
Leandro Barreto:
Yeah. Yeah. Actually, I worked a lot with the Waterfall methodology in 2008, when I was introduced to the Agile methodology with Scrum... no, actually 2009, then I saw. "Hey, this is very, very interesting." Let's learn more about it. And then, during this time, I keep working both with the Waterfall methodology and the Agile methodology. And the more I work it with the Waterfall, the more value I saw in the [inaudible 00:54:24]-
Robert O’Farrell:
In Agile. Yeah.
Leandro Barreto:
Yeah. And that was quite fantastic because then I also learn about SAFe and how to scale it, and yeah.
Robert O’Farrell:
I'm quite curious, like because we had a similar path in that regard and I reflect on where we are with OKRs and Agile, and it's interesting that Agile brought us closer to our customer and we speak to our customer on a more regular basis, which I thought was a massive win over Waterfall where you might have months and months of development, and you've got a requirement that you're trying to put into code, and then suddenly, you have this big delivery and that's when you talk to the customer. And usually, the customer comes back and says, "We want all these things changed." And it's a real pain.
Robert O’Farrell:
Agile was instrumental in that, but then going up from there and putting that layer of why on top of that, which I think is, again, one of those big fundamental shifts on how we focus on what we are doing. Do you see anything emerging from your experience, your professional experience that is tackling another key challenge with regards to, I guess, how we work and how we deliver value?
Leandro Barreto:
Yes. And for example, the customer, they want to see value on what is going to be delivered. They don't want to spend six months to wait something to be delivered. So, I think that's why cloud start being so popular, like SaaS companies, because when you are working on something that is on cloud, for example, you always have the last version. And no matter the day or the hour of the day, there will come new features. And usually, it's transparent for you. And internally from the engineering perspective, the more you deliver, the more quickly you can correct and the more you can understand the market.
Leandro Barreto:
And also, that's why some strategies, some release strategies came up so popular like Canary release. So, you deliver a few things to a particular person, and then you can test it. And if they provides you good or bad feedback, you have time to correct it. So, that's why it became so popular. So, I think during this time from now on, we must see a lot of SaaS companies starting to growing because things are in real life now, real time now, so I think it's natural.
Leandro Barreto:
By the way, there's a good strategy that was implemented by Spot 5 if I'm not mistaken that was like, but this is more for engineering perspective. They have some robots that keeps doing bad things to the servers.
Robert O’Farrell:
Oh, that's the Chaos Monkey.
Leandro Barreto:
The Chaos Monkey.
Robert O’Farrell:
That was Netflix. Yeah. Yeah.
Leandro Barreto:
Netflix, yeah.
Robert O’Farrell:
Netflix. And it would take down bits of their infrastructure and break things. Yeah, yeah.
Leandro Barreto:
Exactly. It's quite hard to see in some companies, but I think this has become to be more popular during the next couple of months or years, because it will teach the engineers how to deal with that because no one wants to stay working in the weekend. You stay with your family.
Robert O’Farrell:
Yeah. I completely agree. I remember when I first heard about the idea of the Chaos Monkey, that it shocked me that someone would inflict that upon their business and upon, I guess, their systems, but then it only takes a production incident to realize that if you had something like that, that you would've built in some provision should that eventuate. And I think that there's a lot of wisdom to it. And so, I absolutely love the idea. I love this, what you were saying about real-time delivery of value to customers.
Robert O’Farrell:
And I think back to how Agile has really been fundamental in pioneering that, well, not pioneering it per se, but with the release cadence that you get from one to two-week sprints, you're putting yourself in a position where you are delivering more often. And you mentioned Canary deploys, I think within that. Is there any other deployment strategies that you've come across that also support, I guess, that immediate delivery of value to customers?
Leandro Barreto:
Yes. There is another strategy which is called the Blue-Green release, but the difference between it is like the Canary release, you deliver something in the small portions, but the Blue-Green, you, like a switch that you turn on and off.
Robert O’Farrell:
Yes. Yes. Right.
Leandro Barreto:
Yeah, you can test it. You can deliver new version of your environment or your tool, and then everyone can use it. And if something goes failed, then you have the plan B, where you can just turn on and off, and then you can rearrange the traffic to your tool. But this is very technical.
Robert O’Farrell:
Yeah. Very interesting to me, but we might lose a few of our podcast listeners. One last question from me, just within your current professional engagement, were they implementing OKRs before you joined the company? Or was that something that you've seen introduced over that period of time?
Leandro Barreto:
From my current company, they are currently working with OKRs, so I didn't participate and implemented it. So, I'm just more focused on helping the teams in implementing the KRs. There were some companies that I worked in the PEs that I helped to build it, and also to build not only the objective but also the KRs. And the objective, it's you spend so much time because you have to understand where the company wants to be in the future.
Leandro Barreto:
So, you have to know inside what we have, what we can improve, where we can improve, and then we can base it on that, base it on the objective. We can build up to four key results to be more precise in achieving this. Yeah. But it's quite challenging, but at the same time, very exciting.
Robert O’Farrell:
I think that was going to be my question in your experience in seeing a company go from not doing that to then implementing it, what were the real challenges in doing that? And how long did you see that process take before they really got good at doing that? Because it is not only setting the meaningful objectives and obviously measurable key results but also then getting the alignment from the teams around that. What were the big challenges there and how long did you see that process take?
Leandro Barreto:
Yeah. I think it depends from company to company. I remember back in Brazil, I had to work with companies that spent months on deciding, but at the same time, I remember my own company took three months to start implementing it. So, I think it depends on the commitment of the people who is responsible for this objective. So, yeah, depends on the maturity also of the company, the people who is working, and yeah. Because the OKRs are quite old, but at the same time are quite new for people, for the companies. Right? So, this is like very challenging. And how do you balance it?
Leandro Barreto:
There are some people who doesn't know how to set the correct objective. And then, we came up with the same thing that we are discussing earlier. Like if you don't know where you're going to go, if the objective is not clear enough, no matter if you have good people or bad people, the people will not see value on that.
Robert O’Farrell:
Yeah. And you won't get your alignment because people don't either understand or don't believe in the objective.
Leandro Barreto:
Exactly.
Robert O’Farrell:
That's fantastic insight, Leandro. And I really appreciate your time today. Again, is there anything that you'd like to chat about before we wrap it up? I'm just conscious that we have been chatting for about an hour now and gone off script a little bit too.
Leandro Barreto:
Yeah, absolutely. Absolutely. No, actually I'd like to thank you, Rob. Thank you, Agile team, everyone. I don't want to spend much time talking also. It was a pleasure and thanks for invite again. And I hope we can think good things in the future. Like, "Hey, I hope I can provide good insights on this."
Robert O’Farrell:
That's fantastic. You certainly have. I've learned a fair bit today as well. So, I'll be going back to revisit some of the talking points from this chat. So, thank you very much again for your time, Leandro. I really appreciate it. And, yes, have a great day. It's kicking off for you and it's ending for us. So, yeah, really appreciate it, mate.
Leandro Barreto:
Thank you. Thank you. I really appreciate it too. Thanks again. See you. Have a great day.
Robert O’Farrell:
You too. Cheers.
Leandro Barreto:
Cheers.
PodcastEasy Agile Podcast Ep.23: How to navigate your cloud migration journey
"Having gone through a cloud migration at Splunk, Greg share's some insightful key learnings, challenges and opportunities" - Chloe Hall
Greg Warner has been involved with the Atlassian ecosystem since 2006 and is a frequent speaker at Atlassian events. Greg has worked as a senior consultant for a solution partner, supported Jira and Confluence at Amazon, and in his current role at Splunk, executed a cloud migration to Atlassian Enterprise Cloud for over 10,000 of his colleagues.
In this episode, Greg and Chloe discuss the cloud migration journey:
📌 The mental shift to cloud migration and how to think beyond the technical side
📌 How to navigate the journey without a roadmap to follow
📌 The four pillars to success for your cloud migration journey
📌 Finding the right time to migrate & thinking about future opportunities beyond your migration
📌 The unexpected value that can come from a cloud migration
+ more!
📲 Subscribe/Listen on your favourite podcasting app.
Thanks, Greg and Chloe!
Transcript
Chloe Hall:
Hey everyone and welcome back to the Easy Agile Podcast. So I'm Chloe, Marketing Coordinator at Easy Agile, and I'll be your host for today's episode. So before we begin, we'd like to acknowledge the traditional custodians of the land from which I am recording today, the Wodiwodi people of the Dharawal-speaking nation and pay our respects to elders past, present, and emerging. We extend that same respect to all Aboriginal and to Australia Islander peoples who are tuning in today.
Chloe Hall:
So we have a very exciting guest on the podcast today. This guest has been involved with the Atlassian ecosystem since 2006 and is a frequent speaker at Atlassian events. He has worked as a senior consultant for a solution partner, supported Jira and Confluence at Amazon and at his current role at Splunk, executed a cloud migration to Atlassian Enterprise Cloud for over 10,000 colleagues. So welcome to the Easy Agile podcast, Greg Warner.
Chloe Hall:
How are you?
Greg Warner:
Good, and thank you for having me.
Chloe Hall:
No worries. It's great to have you here today.
Greg Warner:
This is one of my favorite topics. We talk about cloud migration and yeah, I hope I can explain why.
Chloe Hall:
Yes, that's exactly what we want for you because I remember when we met at Team 22, you were just so passionate about cloud migration and had so many insights to share and I was very intrigued as well.
Greg Warner:
To give it a bit background about myself.
Chloe Hall:
Yeah.
Greg Warner:
I haven't always been a cloud person. So you mentioned before about being involved since 2006. I was involved early days with when Jira had the several different flavors of standard and professional, when you'd order an enterprise license for Atlassian and they'd send you a shirt. That was one of the difference between one of the licenses. So based a lot in the server versions, over many years. I looked at the cloud as being the poorer cousin, if you like.
Greg Warner:
I'd been to several Atlassian summits and later Team events where there was always things of what was happening in cloud but not necessarily server. I participated in writing exam questions for Atlassian certification program for both server and DC. For me, in the last 18 months, two years now, to make this fundamental shift from being certainly a proponent of what we do doing on server in DC to now absolutely cloud first and that is the definite direction that we as a company have chosen and certainly why I'm so passionate about speaking to other enterprise customers about their cloud migration journey.
Chloe Hall:
Wow. So what do you think it was that you were like, okay, let's migrate to the cloud, as you were so involved in the server DC part of it? What was it that grabbed your attention?
Greg Warner:
I joined Splunk in 2019 and it wasn't all roses in regards to how we maintained Jira and Confluence. It wasn't uncommon to have outages that would last hours. For two systems that were just so critical to our business operations to have that, I was kind of dumbfounded but I thought, hey, I've been here before. I have seen this. And so it was a slow methodical approach to root cause our problems, get us to a version that was in long-term support, and then take a breather.
Greg Warner:
Once we got to that point where we didn't have outages, we kind of think of what the future would be. And for me, that future was exactly what I'd done before, what I'd done at Amazon, which is where we would move all of our on-prem infrastructure, Jira, Confluence, and Crowd to public cloud, whether it would be a AWS or GCP, something of that flavor. I'd done that before. I knew how we were going to do that to the extent that I'd even held meetings in my team about how we were going to stand up the infrastructure, what the design was going to be.
Greg Warner:
But there was probably one pivotal conversation that was with our CIO and it was in one of those, just passing by, and he's like, "Greg, I've seen the plans and the funding requests." He's like, "But have you considered Atlassian Cloud?" Now, the immediate personal reaction to me was like, we are not going to do that because I'd seen the iterations. I'd seen it over time. I'd worked for a solution partner. I'd worked with customers in cloud, never really thought we could be enterprise-ready. So my immediate reaction was not going to do that. I said, "I'm not going to answer that question right now." I said, "I don't know enough to give you an answer."
Greg Warner:
And I'm absolutely glad I did that because I would've put a foot in mu mouth had I given the immediate response that was... So yeah, I took that question, went and did some analysis, spoke to our technical account manager at the time, and really looked at what had been going on and where was cloud today? Where was it in its maturity? And the actual monumental thing for me was that I think it's actually ready. People make excuses for why they can't do it, but there are a bunch of reasons why you should. And if we look at us as a company, with our own products that we are moving our own customers to cloud, and we are using cloud services, like Google Workspace and Zoom and a variety of SaaS applications. What was so different about what we did in engineering that couldn't go to cloud? And that was like, okay, I think the CIO was actually asking me a much bigger question here.
Greg Warner:
So the result of that was yes, we decided that it was the right time for Splunk to move. And that is a monumental shift. And I know there's a lot of Jira admins out there that are like, if you do this, you're putting your own jobs at risk. The answer is no, you're not. And even within my team, when we had we'd discussed this, there was emotional connection to maintaining on-premise infrastructure and were we giving our own jobs away if we do this? There's all those... No.
Greg Warner:
And there have actually been two people in my team that got actually promoted through the work of our cloud migration that otherwise wouldn't have because they could demonstrate the skills. But that's kind of like the backstory about how we decided to go to cloud. And I think as we are thinking about it, there is a mental shift first. Before you even go down the technical path about how you would do it, change your own mind so that it's open so that you're ready for it as well.
Chloe Hall:
Yeah, I love that. It's so good. And I think just the fact that you didn't respond to your CIO, did you say that?
Greg Warner:
Yep.
Chloe Hall:
That you didn't respond to your CIO straight away and you weren't like, "No, I don't want to do that." You actually stepped away, took that time to do your research, and think maybe cloud is the better option for Splunk, which is just so great and really created that mental shift in yourself. So when you say that your employees, like everyone kind of has that beef that, oh, we're going to lose our job if we move from on-prem to cloud and those employees ended up getting promoted. How did their roles change?
Greg Warner:
When we moved from on-prem to cloud, you no longer have to maintain the plumbing, right?
Chloe Hall:
Yeah.
Greg Warner:
You no longer have to maintain all the plumbing that's supporting Jira, Confluence, BitBucket, whatever is going to move. Now we thought that was the piece that's actually providing value to the organization. And it wasn't until we went to cloud, we actually realized it wasn't. Like what we can do now is different. And that's what my team has done. They've up-leveled.
Greg Warner:
So in the times since we moved from Jira, Confluence on-prem to cloud, we now get involved a lot more with the business analysis and understanding what our project teams want. So when someone from engineering is requesting something that has an integration or a workflow, we've got more time to spend on that than are we going to upgrade? Are we on the current feature release? Is there a bug we have to close? Log for J as a prime example where the extent of where we covered was logging a call with the Atlassian enterprise support and then telling us, "Yep, it's done."
Greg Warner:
Whereas other colleagues within the ecosystem that I spoke to spent a week dealing with that, right? Dealing with patching and upgrades. So the value for our team in the work we do has shifted up. We've also done Jira advanced roadmaps in that time. So we've been able to provide things we would've never got to because we're too busy to the plumbing, to the extent now that we have a very small footprint of on-prem that remains and that's primarily FedRAMP and IO5. It's not quite certified yet. It's going to get there. So we have a very small footprint and I'm the one who has to do the upgrades and now you look at it like, oh my god, that's going to be this couple-week tasks we going to do where I could do all this other better work that's waiting for us in cloud. You don't realize it until you have it removed how much you used to do.
Greg Warner:
And so we used to do two upgrades of Jira year and two upgrades of Confluence a year. We put that down to about a month's work of each. By the time you do all of your testing and you're staging and then do that. So you're really looking at four months of the year you were spending doing upgrades. We don't have that anymore. It's completely gone. And so now we make sure that we do things cloud first. We don't bring across behaviors that we were doing on-prem into cloud. So that's probably one thing we learned was that don't implement server DC in cloud.
Chloe Hall:
Yeah, that's so great. It seems like it's opened up a lot more opportunity for you as well. So I think something that I kind of want to look into and understand a bit more is that people focus a lot on the technical aspect of the cloud migration. What other aspects do you think need to be considered?
Greg Warner:
Certainly people. I mentioned at the very front here the mental mindset and that really started with my team, to get their mind around how we're going to do this cloud migration. There isn't necessarily yet a roadmap that says these are all the steps need to take to get ready for your cloud migration. So we had to invent some of those and one of those two was, what did we want to get out of the cloud migration?
Greg Warner:
I speak to other Atlassian customers. You talk about they're running a project, the project is the cloud migration, the start and the end is the cloud migration day. No, completely wrong. The cloud migration actually has a beginning, a middle, and an end. What you're talking about here, about this first changes is in the beginning, and that should be we're moving to cloud because it should be fundamentally better than what we have today.
Greg Warner:
If it's not better, there's no value in doing the activity. So we started with a vision and that vision was that all of the core things had to work from day one and they had to work better. So create issue, edit issue, up to issue, that just needs to work. There should be no argument whether it does or does not. That needs to work and work better. Create a page, edit a page, share a page. That stuff needs to work in Confluence without any problems. We also need to make sure that there are people in the organization who this could be a fundamental change of how they work, depending on how much they work with Jira and Confluence. So appreciating that there is some change management and some communications that needs to be ready as you do your cloud migration to ensure that your vision is going to work, but also acknowledging you will break some things. You're not going to be able to do a cloud migration and shift you from A to B without nothing.
Greg Warner:
It will go wrong. So we were aware of that and for that, what I would always tell people was that we're really fixed on the vision of making it sure it's better than it was today, but flexible on the details, how we get there. We will probably find different ways as we go along because things will change. Cloud changes itself. You'll discover things you didn't know before. There was a Jira admin that made a decision 10 years ago, you now found that. So yeah, very, very fixed on that vision that day one that we had to have this unboxing experience that when people got to use Jira and Conference Cloud for the first time, they could see why we'd spent so much effort to make sure it was polished and things just worked. And as you went a bit further out, there might be things to do with apps that might not be quite the same.
Greg Warner:
That's okay. And then further out, things you just ultimately can't control. And for that, we had 76 integrations of teams that had written automations from all over the company. We're never going to get to find out what they do, but we knew that some of those would probably break. And so just dealing with some change control and allowing those people to know this is coming, what the rest endpoints will be, how to set up their API keys. We did a lot of that, but we did have one integration that broke and that integration broke because the entire team was on PTO or leave that week. We can't avoid that one. But it was good to see other teams actually jumped in because they'd been involved in updating theirs to go help fix that. So that was okay. We had one integration that we really gave the white glove support to and that was for... We have a Salesforce to Jira integration that's a revenue-generating integration.
Greg Warner:
We gave that a lot of attention to make sure that just worked. But the 76 others, we provided a runbook. The runbook was essentially teams, you do things like this. So they knew how to change and update to the new system. But yeah, certainly the beginning, middle and end. The beginning is all those shifts that you're going to have to change and probably some history about design decisions. The middle is in fact your cloud migration and the end, middle to the end is everything you do with it afterwards. So that's where the real value comes from in your cloud migration. It's once you're in, what can we do with it?
Greg Warner:
And we are towards the end of that now. There have been things that I couldn't have planned for that people have done. So we did your advanced roadmaps, saving the forest there, but also we're encouraging our staff to extend the platform. That used to be really difficult and we've worked with Atlassian to understand what should that look like? And we've settled on using it Atlassian Forge. And so now we have our first app this week, in UAT, in Atlassian Cloud to solve business problems that we have. That's a custom Atlassian Forge app. And we're encouraging our engineers to build those and so they can extend and get that real value through the cloud migration.
Chloe Hall:
Yeah, wow. You've come so far and it's nice to hear that you're towards the end of it and all the opportunities are coming with it and you're seeing all the value. It's all paying off as well. I think I just want to go back to that moment where you talk about there isn't essentially a roadmap outlay. There isn't someone or something to follow where it says this is where you need to start. These are the steps to cloud migration. And I think a lot of people, that's what they fear. They're like, we're not sure exactly where to start. We're not sure what roadmap we'll follow. How do you navigate that in a way?
Greg Warner:
So I get back to that when I talked about the vision. We said we're fixing the vision flexible details. Early on when we signed for cloud migration, it was in the first week after we'd signed for it, that same CIO asked me, "Greg, what's our date? When are we moving? Because you've sold me that this is so much better. Where's the action? When are we get this?" And we took a good six weeks after we signed to actually understand the tooling that's available. So for Jira, there's really two options. There's the Jira site import and the Jira cloud migration assistant. And on Confluence side, there's one that's called the Confluence cloud migration assistant. Better kind of understand how those technologies work. And for a couple weeks there, my team actually considered if we did the migration ourself, we could probably save the company a bunch of money and we would own it.
Greg Warner:
We would know how this thing worked. We got about four weeks in and decided that was a terrible idea. Do not do that. Any enterprise customers I talk about that say we're going to do it ourselves, do not do that. Do not do that. And part of the reason is that there's really four pillars to success for your cloud migration. Jira migration, Confluence migration, apps, and users. And we did not know how to do apps and users and we probably could have gotten away with Confluence and Jira. But we said, look, this is something that we actually need to have a partner involved. And so we did ask for partners to provide their way of doing it, knowing what they knew about us. And we did provide as much detail as we can. We had two partners actually provided completely different methodologies how to get there.
Greg Warner:
So this is that flexible on the details, but we really had to make a decision on what worked for us. So when it really came down to Jira, would we do a big bang approach and just switch it over in the course of a weekend or did we want to do cohort by cohort over time? And we decided for us, because we are a 24/7 organization that's supporting our customers, doing the big bang switchover, that was the best way to do it. So that's one of the reasons we chose the partner we did. But that partner didn't necessarily have a roadmap of where they want to go. But we did then explain what we want to get out of this. That was the first thing, was about it needs to happen on a weekend. So that then filters down what your choices are. The ecosystem apps part is really important to make sure that one, there may have been apps installed in your system that have been there for 10 years and you're not sure why they're there anymore because it was four Jira admins ago.
Greg Warner:
Nobody knows what's there. But if they don't have a cloud migration pathway, you really should consider they're probably going to hit their end because there is no equivalent. So you can rule them out. Identify the ones that do have a business process with them. And for that, Salesforce for us, we had to find a cloud-first connect that would work. So that meant that we knew that was going forward. But really, I think the key thing that we invented that we didn't know about was that we created this thing called an App Burn Down. And that's where we looked at all the apps we had. We had about 40 apps. We said, okay, which ones are not going to go to cloud? Which ones don't have a migration pathway? Which ones are going to replace something else? And so we started to remove apps over the course of about three months.
Greg Warner:
So people would see that we're starting to get away from on-prem design decisions and old ways of doing things. But we also said, but once we get to cloud, this is the pathway out of it. So that we said, look, we're going to turn this app off but you're going to get this one instead, which is the cloud-first app. So people could see how we're going to make the jump over the river to get there. But it meant that we would, over time, identify apps that weren't used. If we turned them off and nothing happened, it's fine. But also we did come across some where they were critical to a business use. And so if we didn't have an answer for those yet, it gave us time to find one. And with your user base, typically it's your colleagues, that's going to be your most critical customers. They're going to ask, okay, you're turning it off. When do I get the functionality back?
Greg Warner:
And by doing that App Burn Down over time, that does buy you time to then have that answer. So it's a much easier conversation than I'm simply turning off functionality, I don't have an answer for you yet. There are things like that. It wasn't necessarily a roadmap, but working with a solution partner is absolutely the right way to go. Don't try and do it yourself. They also work with Atlassian and they have far better reach into getting some of these answers than you can possibly ever have. And I have on at least three different occasions where our solution partner did go and speak directly with an ecosystem partner to find out what's the path forward. How can we make this work? So it is good. The migration is really a three-way collaboration between yourself, your solution partner, and Atlassian. And you all have the same goals. You want to get to cloud and it does work really well.
Chloe Hall:
Wow. Yeah. So sounds like hope everyone got that advice. Definitely don't take this on your own. Reach out to solution partner. And I really like how you said you went to two different solution partners and you found out what their ideas were, which ways they wanted to take you, so you could kind of explore your options, work out what was the best route for Splunk. And it's worked very well for you as well. Having that support I think as well. Yeah. Sorry, you go.
Greg Warner:
The choice of the partner is really important and it's probably one of the earliest decisions that we made to get that one right. And I remember several times thinking about, have we got the right people on board? Did we speak to... And it was an interview process to the extent that when we had our final day after we'd been working with Atlassian and with our partner for six months, one month after our migration was completed and we're all done, we had one final Zoom call with all of us and took a photo and did that. But it kind of felt like a breakup, to be honest, because we'd been in each other's faces for six months and working. We're now all saying goodbye. We might not see each other. It was like the weirdest feeling. But it did work. And so yeah, it is a real fundamental choice.
Greg Warner:
Just take the time, make sure they understand what we want to do, make sure you understand how they're going to do it. But yeah, if we have done it ourselves, we would've got ourselves all caught up in knots, wouldn't have been a successful migration or so. I'm a technical guy. I want to solve it. I want to be like... But I think the actual right answer was no, you don't need to know how this works 100% because you're going to do this hopefully just once. And so focus on the real business value things about dealing with stakeholders and the change and making design decisions that are really important for you because you're going to own those probably the next decade rather than worrying about how do I get my data from A to Z?
Chloe Hall:
Yeah. It definitely would've felt like a breakup for you because you would've been working side by side for so long, dealing with so much. Are you still in contact with them or...
Greg Warner:
Yeah, we had this fundamental thing we always said is we're always, if there's a problem, we're always cautiously optimistic, we're going to solve it. We did engineering challenges that we went through, but I did say right early on is, the ecosystem is only big and we're all going to bump into each other at some point. So yeah, let's make sure that we're still friends at the end of this. And I didn't realize how important that was until later when I was in New York for Christmas and I arranged to meet the project manager that worked for us. She lives in New York, so how about I meet you so... So we met each other at the hotel and she's like, "I have never met a customer outside of work to do this." Yeah, I gave the story about it felt like a breakup, but she did say that at the beginning you said we'll be friends after.
Greg Warner:
Yeah it is because it can be really hard. I've been on the consultant side where you kind of have to have some hard conversations and sometimes... You want to make sure that everyone understands the problem. You're trying to make it better so that at the end of it, you can still be friends like that. That is the thing. There probably will be engagements later on that you might need them again. So you want to make sure that you have your choice of best in breed partner to choose from. You have those relationships. They understand what you want to choose. So yeah, it is really important to choose the right partner. Don't necessarily based on price but choose the partner that's going to work for you, understands what you're trying to get out of your cloud migration and they'll be there in the future when you need them for another cloud migration or a much more gnarly project. Try and be friends at the end of it.
Chloe Hall:
And definitely it's good that you have that friendship now because they have that understanding about your business and what you want and the value of it. So if you do need help again, it's a lot easier to bring them on board straight away. So now that you've performed a cloud migration and you're coming towards the end of it, do you look at the process any differently to when you were at the very beginning?
Greg Warner:
Yeah, I thought we were just executing a data migration just yeah, on-prem to cloud.
Chloe Hall:
Yeah.
Greg Warner:
Pretty straightforward, nothing big. I was pleasantly surprised as we're making some of these decisions as we went along, that it was more than that. There were business processes that we could improve. There was the beginning, the middle, and end. I didn't realize that until actually after the end. So when we did our cloud migration, it was actually the week before Thanksgiving in the US. It was November 19. And even that decision was made in just going for a walk at lunchtime. When should we really do this? And I kind of came down again, spoke to my project manager and said, "How about we do this in the cloud migration the week before Thanksgiving?" Because 50% of our workforce is located in the US and a large proportion of that will be on leave or PTO before.
Greg Warner:
So by doing it over a weekend before then we're ensuring that... Like when you open a new restaurant. You don't want to have all of your tables full on the first night. We knew that we were going to have everybody using Jira and Confluence day one after a migration because we're going to break some stuff. They actually turned out to be really exceptionally good idea. And I encouraged people to find... Look at your data and work out when is low time to do this? I've been involved in Jira and Confluence for a long time and just thought it's task tracker and it's a wiki. There's nothing there that I don't really know about. But one of the decisions we made was actually that when we completed the data migration and it was ready to go, I always said if we waited, do we get a better result? And the answer was no.
Greg Warner:
We should make this available to people now. And so we opened it up on a Sunday morning in the US, which was starting to be business hours in Australia. We started making teams aware that they can now go ahead and use Jira and Confluence. And it was the feedback that we immediately got from those teams that were starting to use Jira service management in cloud for the first time, about, "Wow, this is so much better than it was on-prem." And people said, "I can actually see the attention to detail you've made on fields and descriptions and the changes you've made." And it started to impact people's workday that this was better than it was. I didn't expect that to come back. And so I have a montage that we share with the team of all these Slack messages from people saying, "This is really good. This is much better than we had before."
Greg Warner:
What I didn't also realize is that when we moved from on-prem to cloud is the data that we had became more usable and accessible. Hadn't planned that. It seems obvious now, but when we put it in cloud and it has all the security controls around it and now no longer has the requirements of things like VPN to get access to it, people could build new things to use it to be able to interact with your issues, to interact with pages. And so we started with 76 integrations and over space of three months now we had this big jump in the first three months up to about a hundred something and now we're going to Forge And what it means is people who have had this need to be able to get to the data can now get to it. I didn't see that coming. I just thought we were just server cloud. But yeah, having a more accessible has led to improvements in the way that our teams are working but also how they use it in other applications that just simply wasn't available before.
Chloe Hall:
Yeah. Wow. That's great. And it's good that you were able to receive that feedback straight away from the teams that you had in Australia. I think that's really good and it sounds like it's created such a good opportunity for you at Splunk as well now that you're on cloud.
Greg Warner:
Yeah, it's certainly a business leader that can propel you forward and I eagerly come in now and look at what are other teams going to do with it. And so when we had the first team that said they want to build a Forge app, I'm like, Sure. We should not discourage that at all. Extend the platform. That's why we spent the money and time to do it. What can you do with it now? And we did certainly make Atlassian aware on the product side, like how we're using it and where we'd like to see improvements. If you look at the server DC comparison, I used to be that person that would look at the new features in cloud and ask that question about, when is that new feature coming to on-prem? To going to being that customer who's now, I have that feature today, right? And I'm using it because we don't wait for it.
Greg Warner:
So you mentioned about things you didn't plan from the roadmap. There are design decisions that I talk to enterprise customers that I need to make aware of about. One of them is to do with release tracks. In enterprise cloud, you can choose to bunch up the change to cloud and then they get released periodically every two weeks, every month. When I looked at that, came back to one of our principles about don't implement server in cloud, why would we do that? Atlassian has far more data points on whether this works for customers at scale than we do. So why would we hold back functionality? So as a result we don't do release tracks. We let all of the new functionality get delivered to us as Atlassian sees fit. And the result of that is our own engineering staff, our own support staff who use Jira, get the notifications about new products and features and this is fantastic.
Greg Warner:
Again, why would we implement server, which is where you would bunch up all your changes and then go forward? The other thing too about our cloud migration journey is don't be blinked that you're just doing a cloud migration today and then the project ends. There are things you need to be thinking about as you go along, but what's the impact in the future? So for us, we have multiple sites. Enterprise customer have multiple sites. So there are design decisions that we've made so that we can, in the future, do cloud to cloud migration. You will move sites. Your organization could be bought or could be buying companies. So you do mergers and acquisitions. And so as part of that, we have some runbooks now that talk about using the cloud-to-cloud tooling so we can move a Jira project from a site here to a site there, how we'd move users here and users there.
Greg Warner:
And that actually came about through the assistance with our TAM, not focusing just always on the cloud migration date but also what's that look like six months later? What's it look 12 months later? So that you don't perform your cloud migration and then lock yourself in a corner that later on now I have to unwind something. I had the opportunity to fix it. So yeah, I do encourage migration customers to also think six months, 12 months beyond their cloud migration. But what could also happen and then speak to your solution partner about design decisions today that could affect you in the future.
Chloe Hall:
Yeah. So you definitely need to be thinking future-focus when you're doing this cloud migration. I know you've addressed a lot of the opportunities that came out of the cloud migration. Was there anything else that was an unexpected value that came from it that you wanted to share?
Greg Warner:
The other value is make it more accessible. We have seen people use it in different places that we hadn't thought about. So some of the things that we were doing before, we had to have a company-owned asset to get on the VPN and just things like that. That actually restricted people in where they could do work. Whereas now we've, as long as you've got a computer or mobile device connected to the Internet, absolutely you can use a mobile device support, you can get access to it. Approvals that used to be done on a computer are now done on a mobile device. Those things. But I think the integrations has been probably been the one thing I'm most... We're not the catalyst. We kind of pushed it along but seeing people get real use out of it and using the data for other purposes. We have seen people build some microservices that use the data from Jira that we couldn't do before. Again, you're just unlocking that potential by making it more usable and accessible.
Chloe Hall:
After going through the whole migration journey and, like you said, you're coming towards the end of it, what were the things that stood out to you that you're like, okay, they didn't go so well? Maybe if I was to do this again, how would I do this better next time?
Greg Warner:
So I get back to that day one unboxing experience. You know you want to give it that best experience. And we delivered that for people in Australia and APAC as we opened it and they got to use Jira for the first time and it worked fine. And that is mainly the result of a lot of emphasis on the Jira piece because we said, we know this is going to be hard. It's got workflows, issue schemes, notifications schemes. This is going to be hard.
Greg Warner:
So we started that one really early and then probably about 60% down through our migration journey, we started on Confluence. We thought how hard can Confluence be. It's a bunch of spaces and pages. It can't be that hard. We actually hit some migration challenges with the engineering tooling with Confluence, which meant that the Confluence UAT was delayed. The Jira UAT was fantastic. Ran for a month. We found some problems, got fixed, got answers. We were really confident that was going to be fine.
Greg Warner:
And then we hit this Confluence piece. We're like, wow, this is going to be a challenge. And there was at least one time I could think of. It was a Saturday morning at breakfast where our solution partner sent me a Slack message about, I think we've got a problem here with some tooling. What are we going to do? Towards the middle of the day, I was kind of scratching my head. This could be a real blocker. We actually worked with Atlassian, came up with the engineering solution, cleared that out. That was good to see, like in the space of 12 to 24 hours, there was a solution. But what it meant was that it delayed the Confluence UAT and it made a week. And there was something we found to do with the new Confluence editor and third-party apps right at the end of that week. And we had to really negotiate with our stakeholders to make this go ahead.
Greg Warner:
Because again, if we'd waited, we'd get a better result. No, we really should go. We know that there's this problem. It's not system-wide but it affects a small group people. So we did it. But for about a hundred people they have this really bad Confluence experience because of this thing. And so for me, I couldn't deliver on that thing I promised, which was a day one experience that was going to be better than what it had before.
Greg Warner:
Now we did work with Atlassian and app vendors to get some mitigation so it wasn't as bad on day five. It wasn't day one but it wasn't perfect. But I would certainly encourage people to make sure that you do treat Jira and Confluence with as much importance as each other. They do go together. When I did our cloud migration, we did it on a weekend and I remember coming back after dropping my kids at school on Tuesday and sitting in the car park. I was like, wow, we actually pulled that off.
Greg Warner:
If we'd propose to the company to move your company email system and your finance system on a weekend, the answer would be no because it's too big a hat. But what we'd said is we're going to move all of our Atlassian stack in a weekend, which really is two big systems, Jira and Confluence. So if I had the time again, we would've started Confluence much, much earlier and then we wouldn't have the need to rush it at the end. And that really did result in a bad day one experience for those people. We have worked with Atlassian since then. We're getting that resolved. We know other Atlassian guys have the same problem. I would start early and don't underestimate the complexity that could happen. There will be some things outside of your control.
Greg Warner:
I talk about this Confluence problem and the migration tooling, which is actually do at scale. Not every customer will see it. We saw it, I conducted customer interviews when we were doing our solution partner decision and the customer actually told me this. Like I should have started Confluence because we had this problem, we wasted some time, and we did it. I even have my notes. But it wasn't until later, same problem, you even had the answer and they told you and you still waited. So I'm spending a few minutes on this podcast talking about it because it happened to me. It's probably going to happen to the next person. So if I could do one thing and that is just encourage you to start it earlier. You're going to end up with a much, much better migration and hopefully can deliver on that day one experience that I couldn't do.
Chloe Hall:
Yeah, no I'm so glad that you've shared that with the Easy Agile audience as well because now they know and hopefully the same mistake won't keep getting repeated. Well, Greg, my final question for you today, and I don't know if you want that to be your answer, but I think it's really good just for the audience, if there's one key takeaway that they can go away with them today from the podcast, what would be that one piece of advice for everyone listening to start their migration journey?
Greg Warner:
The first thing to do is to prioritize it. So if you're an Atlassian customer that's using on-prem Jira or Confluence and you don't have a timeline and you don't have a priority to your cloud migration, start there. Open up the task, which is start to investigate Atlassian Cloud and choose a date. Because yeah, there will come a situation down the track where you might be asked by your CIO and so it's better to have an answer prepared already. I would encourage people to start to look at it because it is the future. If you look across the industry, people are moving to SaaS. It's really a question. Do you want to maintain and be that customer wondering when that feature's coming to cloud or do you want to be that customer in cloud who has it today? We have seen a monumental shift to when we moved to cloud in functionality, availability, all the good things that cloud delivers. And it's one of the biggest promoter... The person that used to write exam questions for servers now saying go to cloud.
Greg Warner:
Absolutely. So when I've spoken to other enterprise customers, particularly at Team, I said like, when do you plan your cloud migration? I was like, wow, we're going to start it in three years. I'm like, three years? You need to go back to the office next week and start like 12 months because yeah you will... There is absolutely a competitive advantage to doing it. And it's not just me being now as biggest cloud opponents. We see it, we see it every day and for me, this is one of the most influential projects I've been involved in with Atlassian since 2006. This one here is going to have a long-lasting effect at Splunk for a long time and I'm happy to speak to yourself at Easy Agile and others about it and here at their cloud journey because I want to go to Team next year. I want to make sure we have these conversations in the whole way about, I got that one thing. It's either I started my Confluence migration earlier or I actually put in a timeline of when we should start our cloud migrations.
Chloe Hall:
Yeah, beautiful. That is some great advice to take away, Greg. And so honestly, thank you so much for coming on the podcast today. You have provided some brilliant insights, takeaways, and also because there is no roadmap, I feel like your guidance is so good for those who are looking to start their cloud migration. Yeah. We really appreciate you sharing your knowledge.
Greg Warner:
All right. Thanks for having me on. Thank you for listening.
Chloe Hall:
No worries.
PodcastEasy Agile Podcast Ep.12 Observations on Observability
On this episode of The Easy Agile Podcast, tune in to hear developers Angad, Jared, Jess and Jordan, as they share their thoughts on observability.
Wollongong has a thriving and supportive tech community and in this episode we have brought together some of our locally based Developers from Siligong Valley for a round table chat on all things observability.
💥 What is observability?
💥 How can you improve observability?
💥 What's the end goal?
"This was a great episode to be a part of! Jess and Jordan shared some really interesting points on the newest tech buzzword - observability""
Be sure to subscribe, enjoy the episode 🎧
Transcript
Jared Kells:
Welcome everybody to the Easy Agile podcast. My name's Jared Kells, and I'm a developer here at Easy Agile. Before we begin, Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast today, the Wodiwodi people of the Dharawal nation, and pay our respects to elders past, present and emerging, and extend that same respect to any aboriginal people listening with us today.
Jared Kells:
So today's podcast is a bit of a technical one. It says on my run sheet here that we're here to talk about some hot topics for engineers in the IT sector. How exciting that we've got a couple of primarily front end engineers and Angad and I are going to share some front end technical stuff and Jess and Jordan are going to be talking a bit about observability. So we'll start by introductions. So I'll pass it over to Jess.
Jess Belliveau:
Cool. Thanks Jared. Thanks for having me one as well. So yeah, my name's Jess Belliveau. I work for Apptio as an infrastructure engineer. Yeah, Jordan?
Jordan Simonovski:
I'm Jordan Simonovski. I work as a systems engineer in the observability team at Atlassian. I'm a bit of a jack of all trades, tech wise. But yeah, working on building out some pretty beefy systems to handle all of our data at Atlassian at the moment. So, that's fun.
Angad Sethi:
Hello everyone. I'm Angad. I'm working for Easy Agile as a software dev. Nothing fancy like you guys.
Jared Kells:
Nothing fancy!
Jess Belliveau:
Don't sell yourself short.
Jared Kells:
Yeah, I'll say. Yeah, so my name's Jared, and yeah, senior developer at Easy Agile, working on our apps. So mainly, I work on programs and road maps. And yeah, they're front end JavaScript heavy apps. So that's where our experience is. I've heard about this thing called observability, which I think is just logs and stuff, right?
Jess Belliveau:
Yeah, yeah. That's it, we'll wrap up!
Jared Kells:
Podcast over! Tell us about observability.
Jess Belliveau:
Yeah okay, I'll, yeah. Well, I thought first I'd do a little thing of why observability, why we talk about this and sort of for people listening, how we got here. We had a little chat before we started recording to try and feel out something that might interest a broader audience that maybe people don't know a lot about. And there's a lot of movements in the broad IT scope, I guess, that you could talk about. There's so many different things now that are just blowing up. Observability is something that's been a hot topic for a couple of years now. And it's something that's a core part of my job and Jordan's job as well. So it's something easy for us to talk about and it's something that you can give an introduction to without getting too technical. So we don't want to get down. This is something that you can go really deep into the weeds, so we picked it as something that hopefully we can explain to you both at a level that might interest the people at home listening as well.
Jess Belliveau:
Jordan and I figured out these four bullet points that we wanted to cover, and maybe I can do the little overview of that, and then I can make Jordan cover the first bullet point, just throw him straight under the bus.
Jordan Simonovski:
Okay!
Jess Belliveau:
So we thought we'd try and describe to you, first of all, what is observability. Because that's a pretty, the term doesn't give you much of what it is. It gives you a little hint, but it'll be good to base line set what are we talking about when we say what is observability. And then why would a development team want observability? Why would a company want observability? Sort of high level, what sort of benefits you get out of it and who may need it, which is a big thing. You can get caught up in these industry hot buzz words and commit to stuff that you might not need, or that sort of stuff.
Jared Kells:
Yep.
Jordan Simonovski:
Yep.
Jess Belliveau:
We thought we'd talk about some easy wins that you get with observability. So some of the real basic stuff you can try and get, and what advantages you get from it. And then we just thought because we're no going to try and get too deep, we could just give a few pointers to some websites and some YouTube talks for further reading that people want to do, and go from there. So yeah, Jordan you want to-
Jared Kells:
Sounds good.
Jess Belliveau:
Yeah. I hopefully, hopefully. We'll see how this goes! And I guess if you guys have questions as well, that's something we should, if there's stuff that you think we don't cover or that you want to know more, ask away.
Jordan Simonovski:
I guess to start with observability, it's a topic I get really excited about, because as someone that's been involved in the dev ops and SRE space for so long, observability's come along and promises to close the loop or close a feedback loop on software delivery. And it feels like it's something we don't really have at the moment. And I get that observability maybe sounds new and shiny, but I think the term itself exists to maybe differentiate itself from what's currently out there. A lot of us working in tech know about monitoring and the loading and things like that. And I think they serve their own purpose and they're not in any way obsolete either. Things like traditional monitoring tools. But observability's come along as a way to understand, I think, the overwhelmingly complex systems that we're building at the moment. A lot of companies are probably moving towards some kind of complicated distributed systems architecture, microservices, other buzz words.
Jordan Simonovski:
But even for things like a traditional kind of monolith. Observability really serves to help us ask new questions from our systems. So the way it tends to get explained is monitoring exits for our known unknowns. With seniority comes the ability to predict, almost, in what way your systems will fail. So you'll know. The longer you're in the industry, you know this, like a Java server fails in x, y, z amount of ways, so we should probably monitor our JVM heap, or whatever it is.
Jared Kells:
I was going to say that!
Jordan Simonovski:
I'll try not to get too much into-
Jared Kells:
Runs out of memory!
Jordan Simonovski:
Yeah. So that's something that you're expecting to fail at some point. And that's something that you can consider a known unknown. But then, the promise of observability is that we should be shipping enough data to be able to ask new questions. So the way it tends to get talked about, you see, it's an unknown unknown of our system, that we want to find out about and ask new questions from. And that's where I think observability gets introduced, to answer these questions. Is that a good enough answer? You want me to go any further into detail about this stuff? I can talk all day about this.
Jared Kells:
Is it like a [crosstalk 00:08:05]. So just to repeat it back to you, see if I've understood. Is it kind of like if I've got a, traditionally with a Java app, I might log memories. It's because I know JVM's run out of memory and that's a thing that I monitor, but observability is more broad, like going almost over the top with what you monitor and log so that you can-
Jordan Simonovski:
Yeah. And I wouldn't necessarily say it's going over the top. I think it's maybe adding a bit more context to your data. So if any of you have worked with traces before, observability is very similar to the way traces work and just builds on top of the premise of traces, I guess. So you're creating these events, and these events are different transactions that could be happening in your applications, usually submitting some kind of request. And with that request, you can add a whole bunch of context to it. You can add which server this might be running on, which time zone. All of these additional and all the exciters. You can throw in user agency into there if you want to. The idea of observability is that you're not necessarily constrained by high cardinality data. High cardinality data being data sets that can change quite largely, in terms of the kinds of data they represent, or the combinations of data sets that you could have.
Jordan Simonovski:
So if you want shipping metrics on something, on a per user basis and you want to look at how different users are affected by things, that would be considered a high cardinality metric. And a lot of the time it's not something that traditional monitoring companies or metric providers can really give you as a service. That's where you'll start paying insanely huge bills on things like Datadog or whatever it is, because they're now being considered new metrics. Whereas observability, we try and store our data and query it in a way that we can store pretty vast data sets and say, "Cool. We have errors coming from these kinds of users." And you can start to build up correlations on certain things there. You can find out that users from a particular time zone or a particular device would only be experiencing that error. And from there, you can start building up, I think, better ways of understanding how a particular change might have broken things. Or some particular edge cases that you otherwise couldn't pick up on with something like CPU or memory monitoring.
Angad Sethi:
Would it be fair to say-
Jared Kells:
Yeah. It's [crosstalk 00:11:02].
Angad Sethi:
Oh, sorry Jared.
Jared Kells:
No you can-
Angad Sethi:
Would it be fair to say that, so, observability is basically a set of principles or a way to find the unknown unknowns?
Jordan Simonovski:
Yeah.
Angad Sethi:
Oh.
Jess Belliveau:
And better equip you to find, one of the things I find is a lot of people think, you get caught up in thinking observability is a thing that you can deploy and have and tick a box, but I like your choice of word of it being a set of principles or best practices. It's sort of giving you some guidance around these, having good logging coming out of your application. So structured logs. So you're always getting the same log format that you can look at. Tracing, which Jordan talked a little bit about. So giving you that ability to follow how a user is interacting with all the different microservices and possibly seeing where things are going wrong, and metrics as well. So the good thing with metrics is we're turning things a bit around and trying to make an application, instead of doing, and I don't want to get too technical, black box monitoring, where we're on the outside, trying to peer in with probes and checks like that. But the idea with metrics is the application is actually emitting these metrics to inform us what state it is in, thereby making it more observable.
Jess Belliveau:
Yeah, I like your choice of words there, Angad, that it's like these practices, this sort of guide of where to go, which probably leads into this next point of why would a team want to implement it. If you want to start again, Jordan?
Jordan Simonovski:
Yeah, I can start. And I'll give you a bit more time to speak as well, Jess in this one. I won't rant as much.
Jess Belliveau:
Oh, I didn't sign up for that!
Jordan Simonovski:
I think why teams would want it is because, it really depends on your organization and, I guess, the size of the teams you're working in. Most of the time, I would probably say you don't want to build observability yourself in house. It is something that you can, observability capabilities themselves, you won't achieve it just by buying a thing, like you can't buy dev ops, you can't buy Agile, you can't buy observability either.
Jared Kells:
Hang on, hang on. It says on my run sheet to promote Easy Agile, so that sounds like a good segue-
Jess Belliveau:
Unless you want to buy it. If you do want to buy Agile, the [crosstalk 00:13:55] in the marketplace.
Jared Kells:
Yeah, sorry, sorry, yeah! Go on.
Jordan Simonovski:
You can buy tools that make your life a lot easier, and there are a lot of things out there already which do stuff for people and do surface really interesting data that people might want to look at. I think there are a couple of start ups like LightStep and Honeycomb, which give you a really intuitive way of understanding your data in production. But why you would need this kind of stuff is that you want to know the state of your systems at any given point in time, and to build, I guess, good operational hygiene and good production excellence, I guess as Liz Fong-Jones would put it, is you need to be able to close that feedback loop. We have a whole bunch of tools already. So we have CICD systems in place. We have feature flags now, which help us, I guess, decouple deployments from releases. You can deploy code without actually releasing code, and you can actually give that power to your PM's now if you want to, with feature flags, which is great.
Jordan Simonovski:
But what you can also do now is completely close this loop, and as you're deploying an application, you can say, "I want to canary this deployment. I want to deploy this to 10% of my users, maybe users who are opted in for Beta releases or something of our application, and you can actually look at how that's performing before you release it to a wider audience. So it does make deployments a lot safer. It does give you a better understanding of how you're affecting users as well. And there are a whole bunch of tools that you can use to determine this stuff as well. So if you're looking at how a lot of companies are doing SRE at the moment, or understanding what reliable looks like for their applications, you have things like SLO's in place as well. And SLO's-
Jared Kells:
What's an SLO?
Jordan Simonovski:
They're all tied to user experiences. So you're saying, "Can my user perform this particular interaction?" And if you can effectively measure that and know how users are being affected by the changes you're making, you can easily make decisions around whether or not you continue shipping features or if you drop everything and work on reliability to make sure your users aren't affected. So it's this very user centric approach to doing things. I think in terms of closing the loop, observability gives us that data to say, "Yes, this is how users are being affected. This is how, I guess the 99th percentile of our users are fine, but we have 1% who are having adverse issues with our application." And you can really pinpoint stuff from there and say, "Cool. Users with this particular browser or this particular, or where we've deployed this app to," let's say if you have a global deployment of some kind, you've deployed to an island first, because you don't really care what happens to them. You can say, "Oh, we've actually broken stuff for them." And you can roll it back before you impact 100% of your users.
Jared Kells:
Yeah. I liked what you said about the test. I forgot the acronym, but actually testing the end user behavior. That's kind of exciting to me, because we have all these metrics that are a bit useless. They're cool, "Oh, it's using 1% CPU like it always is, now I don't really care," but can a user open up the app and drag an issue around? It's like-
Jess Belliveau:
Yeah, that's a really great example, right?
Jared Kells:
That's what I really care about.
Jess Belliveau:
The 1% CPU thing, you could look at a CPU usage graph and see a deployment, and the CPU usage doesn't change. Is everything healthy or not? You don't know, whereas if you're getting that deeper level info of the user interactions, you could be using 1% CPU to serve HTTP500 errors to the 80% of the customer base, sort of thing.
Angad Sethi:
How do you do that? The SLO's bit, how do you know a user can log in and drag an issue?
Jordan Simonovski:
Yeah. I think that would come with good instrumenting-
Angad Sethi:
Good question?
Jordan Simonovski:
Yeah, it comes down to actually keeping observability in mind when you are developing new features, the same way you would think about logging a particular thing in your code as you're writing, or writing test for your code, as you're writing code as well. You want to think about how you can instrument something and how you can understand how this particular feature is working in production. Because I think as a lot of Agile and dev ops principles are telling us now is that we do want our applications in production. And as developers, our responsibilities don't end when we deploy something. Our responsibility as a developer ends when we've provided value to the business. And you need a way of understanding that you're actually doing that. And that's where, I guess, you do nee do think about observability with a lot of this stuff, and actually measuring your success metrics. So if you do know that your application is successful if your user can log in and drag stuff around, then that's exactly what you want to measure.
Jared Kells:
I think that we have to build-
Jordan Simonovski:
Yeah?
Jared Kells:
Oh, sorry Jordan.
Jordan Simonovski:
No, you go.
Jared Kells:
I was just going to say we have to build our apps with integration testing in mind already. So doing browser based tests around new features. So it would be about building features with that and the same thing in mind but for testing and production.
Jess Belliveau:
Yeah and the actual how, the actual writing code part, there's this really great project, the open telemetry project, which provides all these sort of API's and SDK's that developers can consume, and it's vendor agnostic. So when you talk about the how, like, "How do I do this? How do I instrument things?" Or, "How do I emit metrics?" They provide all these helpful libraries and includes that you can have, because the last thing you want to do is have to roll this custom solution, because you're then just adding to your technical debt. You're trying to make things easier, but you're then relying on, "Well I need to keep Jared Kells employed, because he wrote our log in engine and no one else knows how it works.
Jess Belliveau:
And then the other thing that comes to mind with something like open telemetry as well, and we talked a bit about Datadog. So Datadog is a SaaS vendor that specializes in observability. And you would push your metrics and your logs and your traces to them and they give you a UI to display. If you choose something that's vendor agnostic, let's just use the example of Easy Agile. Let's say they start Datadog and then in six months time, we don't want to use Datadog anymore, we want to use SignalFx or whatever the Splunk one is now.
Jordan Simonovski:
I think NorthX.
Jess Belliveau:
Yeah. You can change your end point, push your same metrics and all that sort of stuff, maybe with a few little tweaks, but the idea is you don't want to tie in to a single thing.
Jordan Simonovski:
Your data structures remain the same.
Jess Belliveau:
Yeah. So that you could almost do it seamlessly without the developers knowing. There's even companies in the past that I think have pushed to multiple vendors. So you could be consuming vendor A and then you want to do a proof of concept with vendor B to see what the experience is like and you just push your data there as well.
Jared Kells:
Yeah. I think our coupling to Datadog will be I all the dashboards and stuff that we've made. It's not so much the data.
Jess Belliveau:
Yeah. That's sort of the big up sell, right. It's how you interact. That's where they want to get their hooks in, is making it easier for you to interpret that data and manipulate it to meet your needs and that sort of stuff.
Jordan Simonovski:
Observability suggests dashboards, right?
Jess Belliveau:
Yeah, perhaps. You used this term as well, Jordan, "production excellence." And when we talk about who needs observability, I was thinking a bit about that while you were talking. And for me, production excellence, or in Apptio we call it production readiness, operational readiness and that sort of stuff is like we want to deploy something to production like what sort of best practices do we want to have in place before we do that? And I think observability is a real great idea, because it's helping you in the future. You don't know what problems you're going to have down the line, but you're equipping your teams to be able to respond to those problems easily. Whereas, we've all probably been there, we've deployed code of production and we have no observability, we have a huge outage. What went wrong? Well, no one knows, but we know this is the fix, and it's hard to learn from that, or you have to learn from that I guess, and protect the user against future stuff, yeah.
Jess Belliveau:
When I think easy wins for observability, the first thing that really comes to mind is this whole idea of structured logging, which is really this idea that your application is you're logging, first of all. Quite important as a baseline starting point, but then you have a structured log format which lets you programmatically pass the logs as well. If you go back in time, maybe logging just looked like plain text with a line, with a timestamp, an error message. Whatever the developer decided to write to the standard out, or to the error file or something like that. Now I think there's a general move to having JSON, an actual formatted blob with that known structure so you can look into it. Tracing's probably not an easy win. That's a little bit harder. You can implement it with open telemetry and libraries and stuff. Requires a bit more understanding of your code base, I guess, and where you want tracing to fire, and that sort of stuff, parsing context through, things like that.
Jordan Simonovski:
I think Atlassian, when you probably just want to know that everything is okay. At a fairly superficial level. Maybe you just want to do some kind of up time on a trend. And then as, I guess, your code might get more complex or your product gets a bit more complex, you can start adding things in there. But I think actually knowing or surfacing the things you know might break. Those would probably be your quickest wins.
Jess Belliveau:
Well, let's mention some things for further reading. If you want to go get the whole picture of the whole, real observability started to get a lot of movement out of the Google SRE book from a few years ago. The Google SRE stuff covers the whole gamut of their soak reliability engineering practice, and observability is a portion of that, there's some great chapters on that. O'Reilly has an observability book, I think, just dedicated to observability now.
Jordan Simonovski:
I think that's still in early release, if people want to google chapters.
Jess Belliveau:
The open telemetry stuff, we'll drop a link to that I think that's really handy to know.
Angad Sethi:
From [inaudible 00:26:12], which is my perspective, as a developer, say I wanted to introduce cornflake use Datadog at Easy Agile. Not very familiar, I'm not very comfortable with it. I know how to navigate, but what's a quick way for me to get started on introducing observability? Sorry to lock my direct job or at my workplace.
Jordan Simonovski:
I would lean, I could be biased here. Jess correct me or give your opinion on this, I would lean heavily towards SLO's for this. And you can have a quick read in the SRE-
Jess Belliveau:
What does SLO stand for, Jordan?
Jordan Simonovski:
Okay, sorry. Buzz words! SLO is a service level objective, not to be confused with service level agreement. An agreement itself is contractual and you can pay people money if you do breach those. An SLO is something you set in your team and you have a target of reliability, because we are getting to the point where we understand that all systems at any point in time are in some kind of degraded state. And yeah, reliability isn't necessarily binary, it's not unreliable or reliable. Most of the time, it's mostly reliable and this gives us a better shared language, I guess. And you can have a read in the SRE handbook by Google, which is free online, which gives you a pretty good understanding of Datadog.
Jordan Simonovski:
I think the last time I used it had a SLO offering. But I think like I was mentioning earlier, you set an SLO on particular functionalities or features of your application. You're saying, "My user can do this 99% of the time," or whatever other reliability target you might want to set. I wouldn't recommend five nines of reliability. You'll probably burn yourself out trying to get there. And you have this target set for yourself. And you know exactly what you're measuring, you're measuring particular types of functionality. And you know when you do breach these, users are being affected. And that's where you can actually start thinking about observability. You can think about, "What other features are we implementing that we can start to measure?" Or, "What user facing things are we implementing that we can start to measure?"
Jordan Simonovski:
Other things you could probably look at are, I think they're all covered in the book anyway, data freshness in a way. You want to make sure the data users are being displayed is relatively fresh. You don't want them looking at stale data, so you can look at measuring things like that as well. But you can pretty much break it down into most functionalities of a website. It's no longer like a ping check, that you're just saying, "Yes, HTTP, okay. My application is fine." You're saying, "My users are actually being affected by things not working." And you can start measuring things from there. And that should give you a better understanding, or a better idea, at least, of where to start with what you want to measure and ow you want to measure it. That would be my opinion on where to get started with this if you do want to introduce it.
Jared Kells:
We're going to talk a little bit about state and how with some of these, like our very front end heavy applications that we're building, so the applications we build just basically run inside the browser and the traditional state as you would think about it, is just pulling a very simple API that writes some things into the database with some authentication, and that sort of stuff. So in terms of reliability of the services, it's really reliable. Those tiny API's just never have problems, because it's just so simple. And well, they've got plenty of monitoring around it. But all our state is actually, when you say, "Observe the state of the system," for the most part, that's state in a browser. And how do we get observability into that?
Jess Belliveau:
A big thing is really, there's not one thing fits all as well. When we talk about the SLO stuff as well, it's understanding what is important to not so much maybe your company but your team as well. If you're delivering this product, what's important to you specifically? So one SLO that might work for me at Apptio probably isn't going to work for Easy Agile. This is really pushing my knowledge, as well, of front end stuff, but when we say we want to observe the state as well, we don't necessarily mean specifically just the state. You could want to understand with each one of those API's when it's firing, what the request response time is for that API firing. So that might be an important metric. So you can start to see if one of those APIs is introducing latency, and so your user experience is degraded. Like, "Hey when we were on release three, when users were interacting with our service here, it would respond in this percentile latency. We've done a release and since then, now we're seeing it's now in this percentile. Have we degraded performance performance?" Users might not be complaining, but that could be something that the team then can look into, add to a sprint. Hey, I'm using Agile terms now. Watch out!
Jared Kells:
That's a really good example, Jess. Performance issues for us are typically not an API that's performing poorly. It's something in this very complicated front end application is not running in the same order as it used to, or there's some complex interaction we didn't think of, so it's requesting more data than expected. The APIs are returning. They're never slow, for the most part, but we have performance regressions that we may not know about without seeing them or investigating them. The observability is really at the individual user's browser level. That makes sense? I want to know how long did it take for this particular interaction to happen.
Jess Belliveau:
Yeah. I've never done that sort of side of things. As well, the other thing I guess, you could potentially be impacted in as well as then, you're dealing with end user manifestations as well. You could perceive-
Jared Kells:
Yeah sure.
Jess Belliveau:
... Greater performance on their laptop or something, or their ISP or that sort of stuff. It'd be really hard to make sure you're not getting noise from that sort of thing as well.
Jordan Simonovski:
Yeah. There are tools like Sentry, I guess, which do exist to give you a bit more of an understanding what's happening on your front end. The way Sentry tends to work with JavaScript, is you'll upload a minified map of your JS to Sentry, deploy your code and then if something does break or work in a fairly unexpected way, that tends to get surfaced with Sentry will tell you exactly which line this kind of stuff is happening on, and it's a really cool tool for that company stuff. I don't know if it'd give you the right type of insights, I think, in terms of performance or-
Jared Kells:
Yeah, we use a similar tool and it does work for crashes and that sort of thing. And on the observability front, we log actions like state mutations in side the front end, not the actual state change, but just labels that represent that you updated an issue summary or you clicked this button, that sort of thing, and we send those with our crash reports. And it's super helpful having that sort of observability. So I think I know what you guys are talking about. But I'm just [crosstalk 00:35:25], yeah.
Jess Belliveau:
Yeah, that's almost like, I guess, a form of tracing. For me and Jordan, when we talk about tracing, we might be thinking about 12 different microservices sitting in AWS that are all interacting, whereas you're more shifting that. That's sort of all stuff in the browser interacting and just having that history of this is what the user did and how they've ended up-
Jared Kells:
In that state.
Jess Belliveau:
In that state, yeah.
Jordan Simonovski:
I guess even if you don't have a lot of microservices, if you're talking about particular, like you're saying for the most part your API requests are fine but sometimes you have particularly large payloads-
Jared Kells:
We actually have to monitor, I don't know, maybe you can help with this, we actually should be monitoring maybe who we're integrating with. It's actually much more likely that we'll have a performance issue on a Xero API rather than... We don't see it, the browser sees it as well, which is-
Jordan Simonovski:
Yeah, and tracing does solve all of those regressions for you. Most tracing libraries, like if you're running Node apps or whatever on your backend. I can just tell you about Node, because I probably have the most experience writing Node stuff. You pretty much just drop in Didi trace, which is a Datadog library for tracing into your backend and your hook itself into all of, I think, the common libraries that you'll tend to work with, I think. Like if you're working for express or for a lot of just HADP libraries, as well as a few AWS services, it will kind of hook itself into that. And you can actually pinpoint. It will kind of show you on this pretty cool service map exactly which services you're interacting with and where you might be experiencing a regression. And I think traces do serve to surface that information, which is cool. So that could be something worth investigating.
Jess Belliveau:
It's funny. This is a little bit unrelated to observability, but you've just made me think a bit more about how you're saying you're reliant on third party providers as well. And something I think that's really important that sometimes gets missed is so many of us today are relying on third party providers, like AWS is a huge thing. A lot of people writing apps that require AWS services. And I think a lot of the time, people just assume AWS or Jira or whatever, is 100% up time, always available. And they don't write their code in such a way that deals with failures. And I think it's super important. So many times now I've seen people using the AWS API and they don't implement exponential back off. And so they're basically trying to hit the AWS API, it fails or they might get throttled, for example, and then they just go into a fail state and throw an error to the user. But you could potentially improve that user experience, have a retry mechanism automatically built in and that sort of stuff. It doesn't really tie into the observability thing, but it's something.
Jared Kells:
And the users don't care, right? No one cares if it's an AWS problem. It's your problem, right, your app is too slow.
Jess Belliveau:
Well, they're using your app. Exactly right. It reflects on you sort of thing, so it's in your interest to guard against an upstream failure, or at least inform the user when it's that case. Yeah.
Jared Kells:
Well, I think we're going to have to call it, this podcast, because it was an hour ago. We had instructed max 45 minutes.
Jess Belliveau:
We could just keep going. We might need a part two! Maybe we can request [cross talk 00:39:21].
Jared Kells:
Maybe! Yeah.
Jess Belliveau:
Or we'll just start our own podcast! Yeah.
Angad Sethi:
So what were your biggest learnings today, given it's been Angad and I are just learning about observability, Angad what was your biggest learning today about observability? My biggest learning was that observability does not equal Datadog. No, sorry! It was just very fascinating to learn about quantifying the known unknowns. I don't know if that's a good takeaway, but...
Jess Belliveau:
Any takeaway is a good takeaway! What about you, Jared?
Jared Kells:
I think, because I we were going to talk about state management, and part of it was how we have this ability, at the moment to, the way our front ends are architected, we can capture the state of the app and get a customer to send us their state, basically. And we can load it into our app and just see exactly how it was, just the way our state's designed. But what might be even cooler is to build maybe some observability into that front end for support. I'm thinking instead of just having, we have this button to send us out your support information that sends us a bunch of the state, but instead of console logging to the browser log, we could be console logging, logging in our front end somewhere that when they click, "send support information," our customers should be sending us the actions that they performed.
Jared Kells:
Like, "Hey there's a bug, send us your support information." It doesn't have to be a third party service collecting this observability stuff. We could just build into our... So that's what I'm thinking about.
Jess Belliveau:
Yeah, for sure. It'll probably be a lot less intrusive, as well, as some of the third party stuff that I've seen around.
Jared Kells:
Yeah. It's pretty hard with some of these integrations, especially if you're developing apps that get run behind a firewall.
Jess Belliveau:
Yeah
Jared Kells:
You can't just talk to some of these third parties. So yeah, it's cool though. It's really interesting.
Jess Belliveau:
Well, I hope someone out there listening has learned something, and Jordan and I will send some links through, and we can add them, hopefully, to the show notes or something so people can do some more reading and...
Jared Kells:
All thanks!
Jess Belliveau:
Thanks for having us, yeah.
Jared Kells:
Thanks all for your time, and thanks everybody for listening.
Jordan Simonovski:
Thanks everyone.
Angad Sethi:
That was [inaudible 00:41:55].
Jess Belliveau:
Tune in next week!