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Kubernetes in the 2nd Decade
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Tim Hockin
November 09, 2023
Technology
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Kubernetes in the 2nd Decade
Tim Hockin
November 09, 2023
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Transcript
Kubernetes in the Second Decade KubeCon, Chicago November, 2023 Tim
Hockin, Google @thockin (with help from many people!)
None
None
“...the next trillion core hours...” Jago Macleod @jagosan
AI / ML
“AI/ML will increase compute resource usage and the requirement to
manage those workloads effectively and efficiently.” Janet Kuo @janetkuo
“Inference is the new web app.” Clayton Coleman @smarterclayton
“The impact of AI/ML will be on the same scale
as the impact of the internet itself.” Tim Hockin @thockin
“I hope AI / ML can help us to optimize
the testing, debugging, and supportability [of Kubernetes].” Dawn Chen @dchen1107
Clusters
“Multi-cluster is unavoidable, and for many, it's already the reality.”
Jeremy Olmsted-Thompson @JeremyOT
“Clusters are limiting, users need to work at a higher
level.” Jeremy Olmsted-Thompson @JeremyOT
“...maybe not clusterless, but less cluster.” Tim Hockin @thockin
“We're over-indexing [on multi-cluster], instead of making individual clusters reliably
run all kinds of workloads at once.” Wojciech Tyczynski @wojtek-t
Complexity & Reliability
“...trying to do everything...” Antonio Ojea @aojea
“...trying to solve all issues for everyone...” Dawn Chen @dchen1107
“All of us [maintainers] underestimate the cost [of complexity] for
users, and I perceive it as the biggest existential threat.” Wojciech Tyczynski @wojtek-t
“I don't think the Rails equivalent for K8s has emerged
yet ... to solve this complexity by removing unnecessary choices.” Michael Taufen @mtaufen
“The big risk is its current complexity.” Tim Bannister @sftim
“We should focus on keeping the core small and stable.”
Maciej Szulik @soltysh
“Avoid gridlock or calcification.” Jordan Liggitt @liggitt
“Kubernetes won not because it’s the best at any specific
workload, but because it can run almost everything reasonably well.” Clayton Coleman @smarterclayton
“Kubernetes won not because it’s the best at any specific
workload, but because it can run almost everything reasonably well.” Clayton Coleman @smarterclayton
“We’ve got to say no to things today, so we
can afford to do interesting things tomorrow.” Tim Hockin @thockin
“Next generation operators are less likely to be experts in
Kubernetes ... reliability and security are more important than new features.” Jago Macleod @jagosan
“Workloads on Kubernetes have evolved from casual to critical, including
life safety, healthcare, telco, and public sector.” Jago Macleod @jagosan
“Keeping (or increasing) the [quality] bar in core is more
important than any other feature that we may add.” Wojciech Tyczynski @wojtek-t
None
Ecosystem
“Paradox of Choice - too many choices actually limits our
freedom, [we need to] help users choose or avoid the need to choose.” Janet Kuo @janetkuo
“We probably gotta shrink the landscape to stay sustainable.” Davanum
Srinivas @dims
“It's hard to find what to plug in to Kubernetes
and the problem gets worse the bigger the ecosystem grows.” Tim Bannister @sftim
“The growing CNCF landscape indicates a lack of standards. This
creates compatibility and operational complexities.” Dawn Chen @dchen1107
“The ecosystem has flourished, but I see fewer learnings and
patterns being brought back to Kubernetes.” Michelle Au @msau42
“...the big tent of openstack is a good example of
how this can go wrong.” Antonio Ojea @aojea
“Kubernetes should stay unfinished.” Tim Bannister @sftim
None
“Come to the booth and tell me why I am
wrong!”