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Stateless workloads have long been able to take advantage of cluster compaction and the cost savings of spot instances, but stateful workloads present unique challenges. Unlike stateless applications, stateful workloads can’t easily restart on a new node without losing their critical state, making dynamic optimization much more difficult.
This talk explores how container snapshotting using the Kubelet Checkpoint API enables live migration of stateful workloads. By capturing and restoring the state of running containers, we can now compact stateful workloads to fewer nodes and even run them on spot instances cutting costs significantly.
We’ll cover the technical details of analyzing your cluster for consolidation opportunities, snapshotting containers, and migrating them seamlessly using open source tooling.
Chris Battarbee is the founder of Metoro and a former engineer at Palantir, where he wrote software to manage Spark workloads on Kubernetes focussing on efficiency and cost savings.
