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The Business of Open Source - The Kubernetes Learning Curve with Edgaras Apsega

The Kubernetes Learning Curve with Edgaras Apsega

05/27/20 • 21 min

The Business of Open Source

Some of the highlights of the show include

  • Why Adform decided to move to a cloud native architecture and Kubernetes specifically
  • Who was the driving force behind the move to Kubernetes?
  • Was the switch purely an engineering decision or did it involve people outside of engineering?
  • Positive and less positive surprises that come with switching to cloud native
  • Organizational and technical problems Edgaras has faced
  • What’s next for Adform on their cloud journey

Links

Transcript
Announcer: Welcome to The Business of Cloud Native Podcast where we explore how end users talk and think about the transition to Kubernetes and cloud-native architectures.

Emily: Welcome to The Business of Cloud Native. I’m Emily Omier, your host. And I’m here today with Edgaras Apsega, lead IT systems engineer at AdForm. Edgaras, what I’d like to do is just start out with you introducing yourself.

Edgaras: I’m Edgaras. I’m working in the Adform. For anyone that doesn't know, Adform is one of the leading advertising technology companies in the world, and provides the software used by buyers and sellers to automate digital advertising. And, probably one of the most interesting parts of our solution stack is demand-side platform that has real-time bidding. And, what it means is that when that page is loading for some kind of internet users, behind the curtain, there's actually a bidding process that takes place for the placeholders to show ads. So, basically, you're doing low latency stuff. And, in Adform, I'm a lead systems engineer for the cloud services team. Our team consists of eight people, and we are providing private cloud storage, load balancing, CDN, service discovery and Kubernetes platforms for our developers that are in [00:01:36 unintelligible] production services. So, to better understand the scale that our team is working on, first of all, you can see that we are not using public cloud and we have our own private cloud that has six regions, more than 1500 physical servers, and there are more than 4000 [00:01:55 unintelligible]. And, for Kubernetes, we have seven clusters, more than 50 physical machines and around 300 constantly running [00:02:05 pods]. So, we can say that we prefer bigger clusters with bigger resources sharing pools. And you asked, how do I spend my daily work, right?

Emily: Yeah. So, when you get into the office or—right now you're not going into the office—get into your table or your [laughs] home office, what are the first couple things that you do, or...

Edgaras: Yeah, so, when I arrive at work, or, like, at these times, just get off the showers straight into work desk, [laughs] actually, I'm most productive in the mornings and evenings. So, in the mornings, when I go to my work desk, I try to do as much as I can. My sprint plan tasks, and then I scroll through the Slacks, emails, and the tickets assigned to me because we have a development team in another region. So, instantly in the mornings, we have some kinds of support tasks that we need to do.

Emily: Let's go ahead and talk about what this is all about, the business of cloud native, and tell me a little bit about why Adform decided to move to a cloud native architecture. Why did you decide to use Kubernetes, for example?

Edgaras: I'd say, actually, there were two parts. At first, we moved from traditional and, let's say, old-fashioned monitoring solutions to Prometheus, and its integration with service discovery solved lots of operational time for constantly managing and configuring monitoring and alerting for our, quite often, changing infrastructure. And the second part is the adoption of Kubernetes and all of the together coming parts like continuous integration and delivery. So, why we moved to this kind of architecture? It was because the biggest pain points for developers were to maintain actually their virtual machines. And rolling out new software releases in an old-fashioned way, took just lots of time for new software releases to reach production. So, we were looking at the new solutions that were available in the market, and Kubernetes was actually one of them. So, after successful proof of concept, we have selected it as our main application scheduler and orchestration tool.

Emily: What would you say was, like, the business value that you were hoping to get out of Kubernetes, out have the ability to release software faster, for example?

Edgaras: Yeah. So, actually, we wanted to remove the operational time from our developers so that they could spend more time coding without taking care of all of the infrastructure surrounding parts, like the appli...

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Some of the highlights of the show include

  • Why Adform decided to move to a cloud native architecture and Kubernetes specifically
  • Who was the driving force behind the move to Kubernetes?
  • Was the switch purely an engineering decision or did it involve people outside of engineering?
  • Positive and less positive surprises that come with switching to cloud native
  • Organizational and technical problems Edgaras has faced
  • What’s next for Adform on their cloud journey

Links

Transcript
Announcer: Welcome to The Business of Cloud Native Podcast where we explore how end users talk and think about the transition to Kubernetes and cloud-native architectures.

Emily: Welcome to The Business of Cloud Native. I’m Emily Omier, your host. And I’m here today with Edgaras Apsega, lead IT systems engineer at AdForm. Edgaras, what I’d like to do is just start out with you introducing yourself.

Edgaras: I’m Edgaras. I’m working in the Adform. For anyone that doesn't know, Adform is one of the leading advertising technology companies in the world, and provides the software used by buyers and sellers to automate digital advertising. And, probably one of the most interesting parts of our solution stack is demand-side platform that has real-time bidding. And, what it means is that when that page is loading for some kind of internet users, behind the curtain, there's actually a bidding process that takes place for the placeholders to show ads. So, basically, you're doing low latency stuff. And, in Adform, I'm a lead systems engineer for the cloud services team. Our team consists of eight people, and we are providing private cloud storage, load balancing, CDN, service discovery and Kubernetes platforms for our developers that are in [00:01:36 unintelligible] production services. So, to better understand the scale that our team is working on, first of all, you can see that we are not using public cloud and we have our own private cloud that has six regions, more than 1500 physical servers, and there are more than 4000 [00:01:55 unintelligible]. And, for Kubernetes, we have seven clusters, more than 50 physical machines and around 300 constantly running [00:02:05 pods]. So, we can say that we prefer bigger clusters with bigger resources sharing pools. And you asked, how do I spend my daily work, right?

Emily: Yeah. So, when you get into the office or—right now you're not going into the office—get into your table or your [laughs] home office, what are the first couple things that you do, or...

Edgaras: Yeah, so, when I arrive at work, or, like, at these times, just get off the showers straight into work desk, [laughs] actually, I'm most productive in the mornings and evenings. So, in the mornings, when I go to my work desk, I try to do as much as I can. My sprint plan tasks, and then I scroll through the Slacks, emails, and the tickets assigned to me because we have a development team in another region. So, instantly in the mornings, we have some kinds of support tasks that we need to do.

Emily: Let's go ahead and talk about what this is all about, the business of cloud native, and tell me a little bit about why Adform decided to move to a cloud native architecture. Why did you decide to use Kubernetes, for example?

Edgaras: I'd say, actually, there were two parts. At first, we moved from traditional and, let's say, old-fashioned monitoring solutions to Prometheus, and its integration with service discovery solved lots of operational time for constantly managing and configuring monitoring and alerting for our, quite often, changing infrastructure. And the second part is the adoption of Kubernetes and all of the together coming parts like continuous integration and delivery. So, why we moved to this kind of architecture? It was because the biggest pain points for developers were to maintain actually their virtual machines. And rolling out new software releases in an old-fashioned way, took just lots of time for new software releases to reach production. So, we were looking at the new solutions that were available in the market, and Kubernetes was actually one of them. So, after successful proof of concept, we have selected it as our main application scheduler and orchestration tool.

Emily: What would you say was, like, the business value that you were hoping to get out of Kubernetes, out have the ability to release software faster, for example?

Edgaras: Yeah. So, actually, we wanted to remove the operational time from our developers so that they could spend more time coding without taking care of all of the infrastructure surrounding parts, like the appli...

Previous Episode

undefined - Introduction to The Business of Cloud Native

Introduction to The Business of Cloud Native

About Emily Omier

Emily Omier is a content strategy consultant who helps companies leverage content to build thought leadership, increase website traffic, grow their mailing list and book more demos. She has worked with CloudBees, Portworx, Plutora, Armory, and is a regular contributor for The New Stack. She graduated from the Columbia University Graduate School of Journalism and lives in Portland, Oregon.

Next Episode

undefined - Key Factors to Consider During Containerization with Travis Jeppson

Key Factors to Consider During Containerization with Travis Jeppson

Some of the highlights of the show include

  • How containerization enabled Nav to spread roughly 250 virtual machines across multiple environments, while drastically reducing infrastructure spend
  • Travis’s thoughts on buying cloud native software tools versus building them, and what engineers should consider during this process
  • The difficulty of finding security solutions that work inside of a cloud-native ecosystem
  • Why companies should expect to encounter unique challenges when migrating to Kubernetes
  • Why companies need to understand their end goal, and determine an overall objective before beginning a migration
  • Travis’s must-have engineering tool, and why he can’t live without it

Links

Transcript

Announcer: Welcome to The Business of Cloud Native Podcast where we explore how end users talk and think about the transition to Kubernetes and cloud-native architectures.

Emily: Welcome to The Business of Cloud Native. I’m Emily Omier, your host. And today I’m here with Travis Jeppson. Travis is currently at Kasten, but he’s also going to talk about his time as a director of engineering at Nav.

Travis: At Nav, my role shifted quite a bit while I was there. I started as a software developer, writing Ruby back end applications for them, and then shifted into—actually within a month of being there, they shifted me over to the operational side because I had previous experience working with containerization, and also in infrastructure. So, they quickly moved me over into that realm and from there, I worked there for about a year until they told me, go spin up a team and get things moving. Help us move to containerization. Help us move to a more modern infrastructure and stuff. And so, about a year after that I became a director of engineering to where I had our ops team that had spun up, and then I also acquired both our QA team and our IT team that was there. And then, about a year after that, I ended up acquiring a little bit more than that. So, I ended up with a fair amount of our front end and some of our backend teams as well, and where they moved me into the senior director position. So, a day in the life, towards the end of when I was at Nav was a lot of working with the teams, helping them to do a lot of architectural perspective, and changes, and outlook to where we were trying to get as far as the company is concerned. We were building a product that we could address both first-party customers where they would log in to the Nav website directly, as well as working with partners so that we could issue out Nav functionality to those partners that they could incorporate to their pages as well. And so, we worked very hard to try to segment those two pieces together so that what we were building could be dispersed between both first-party customers and our third-party customers. And so, towards the end of my time there, it ended up being a lot of working within all of engineering to help facilitate those purposes. Then, just about six months ago, I ended up shifting my role over to a company called Kasten. And, Kasten is strictly working within the Kubernetes ecosystem. So, we do data management for Kubernetes based applications, and I am the site lead in Utah for Kasten, and so my day in and day out, a lot is, it's, kind of, all over the place. Sometimes it's working with engineering to help figure out some things going on there, sometimes it's working with brokers to help find office space for it. And sometimes it's dealing with insurance. It ended up being quite dynamic. But overall, I'd say most of my time is really spent more on the engineering side, just from the perspective of having worked at Nav and having been a consumer of a lot of these technologies, I think that they really appreciate my insights that I'm able to give there. So, I end up working, a lot, with the engineers to help facilitate what we're doing.

Emily: Sounds like you end up serving as a bridge from having been an end-user. But do you think that there is common miscommunications that happen, or what do those conversations sound like? Why is that experience valuable?

Travis: Yeah, so I don't know if it's as much as a miscommunication as much as what are customers looking for? And what are they trying to achieve? And why are they purchasing different software solutions? And what makes sense for them, more than anything. And I think that, having been a consumer of those products, I was more or less on the front lines there. When I was building our operational team at Nav, that was basically what I was doing is trying to figure out what things are we going to spend time on? And w...

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