Kubernetes co-founder Joe Beda interview: "Software development is a team sport"

SAN FRANCISCO - June 8, 2022 - PRLog -- We recently had the opportunity to interview VMware's principal engineer, Joe Beda, one of the creators of Kubernetes, as well as the Google Compute Engine. Joe is an experienced software engineer who has worked at both Microsoft and Google. He also co-founded the cloud-native leader, Heptio, which is now a part of VMware.

We frequently use Kubernetes when developing products for our clients, and there is no better way to gain more insight into a tool than to speak with one of its creators.

We also want to thank our friend, Nikolai Rubanov from Selectel, for assisting with the questions for this ​interview.

Here at Evrone, we provide custom DevOps & Kubernetes solutions, designed to meet our clients' specific needs. If you have a project or idea that you need assistance with, or you just want to learn more about our services, send us a message, and we'll be in touch soon to see how we can help.

We hope you enjoy the read!

Evrone: Hello. It's nice to see you! Let's start our interview. Nowadays applications help to abstract from hardware by virtualization. Using containers means abstracting from the operating system and a huge system resources economy. Platforms such as Kubernetes allow us to feel free from manual control, which means we don't have to care about how and where the app is running. Does that mean that we are losing control and customers' troubleshooting becomes more difficult?

Joe: Hey, thanks for inviting me over! I don't think it's necessarily abstracting you from the operating system. I mean, you still know that you're running on Linux when you're running something inside a container. I think there's a couple of things that it does that do help us quite a bit towards trying to create that magic outcome of: "Just take my code and run it. I don't care where it runs, just make it work." The first thing is that there's an efficiency argument with containers often combined with virtualization. You can pack more in on the same hardware, you can go smaller, you can have more fine-grained overcommits and tradeoffs between things.

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