Summary
Lyft runs ETL and ML Spark workloads on Kubernetes with the Spark on k8s operator, but growing scale caused reliability issues with IP allocation, container images, IAM roles and the control plane. A hybrid architecture on Kubernetes and YARN supports continued growth, with a dynamic runtime controller for per-environment config overrides and easy switchover.
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