Container orchestrators have become the de-facto standard to deploy a wide variety of workloads. As the number of deployments increases, so is the pressure on resource usage, and hardware costs. Container runtimes and Kubernetes come with a set of tools that help make the most out of your infrastructure such as cgroups with resource usage limitation and prioritization, requests and limits on cpu and memory, quality of services. Even with those tools, it can be challenging to understand how they work, and how to use them. In this talk, the speaker will offer a review of the available mechanisms, how they map at the orchestrator and runtime levels, and introduce the Vertical Pod Autoscaler as a mean to optimize resource tuning at scale. He will share some of the lessons the company learned since starting this effort. And finally he will describe where they are in the deployment phase, and give some perspective on the direction where they are headed.
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