Reliable Performance at Scale with Apache Spark on Kubernetes - Will Manning, Matthew Cheah Palantir
Summary
Palantir runs Apache Spark on Kubernetes, with its largest deployment averaging about 5 million Spark pods per day, and shares lessons from migrating off YARN, including shuffle performance, CPU limit throttling and missing dynamic allocation. The talk also covers Palantir's open-sourced Kubernetes scheduler extension for Spark workloads and a pluggable external shuffle service API.
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