Wednesday, November 20 • 3:20pm - 3:55pm
To Infinite Scale and Beyond: Operating Kubernetes Past the Steady State - Austin Lamon, Spotify & Jago Macleod, Google

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Operating large distributed systems at significant scale is challenging. Most discussions focus on scalability either at a single point in time under sustained load, or explore challenges related to changes in incoming traffic.

But running distributed systems at scale is about more than steady states and transitions between them. What is equally challenging and tends to get overlooked are the operational challenges of running at scale: upgrading many and/or large clusters; deploying applications to and across multiple clusters in a reasonable way; balancing freedom and consistency across multiple teams. In this case study, Google and Spotify share some of the challenges of running Kubernetes at Scale, together with concrete solutions, patterns, and common pitfalls we have found together. Intended for cluster operators and developers from organizations of any size and on any provider.


Jago Macleod

Engineering Director, Kubernetes & GKE, Google
Jago Macleod is an Engineering Director at Google, where he leads much of the Kubernetes and Google Kubernetes Engine (GKE) team. He also works closely with GKE’s largest customers, sophisticated Kubernetes users pushing the limits in every dimension. Prior to working at Google... Read More →
avatar for Austin Lamon

Austin Lamon

Group Product Manager, Spotify
Austin Lamon is a software engineer turned product manager who is passionate about building scalable & resilient products that delight developers & customers. He currently leads product for Spotify's Core Infrastructure team in Stockholm and New York building the service platform... Read More →