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KEDA

KEDA (Kubernetes Event-Driven Autoscaler) scales video transcoding pools on the right signal — queue depth — instead of CPU. These pieces cover ScaledObject patterns for video, scale-to-zero economics, multi-pool topologies for multi-tenant deployments, and the operator-pattern coordination that lets KEDA scale individual pools cleanly.

Reference architectures · 1
  • Kubernetes deployment with KEDA autoscaling
    Production K8s topology for MpegFlow — API tier, shared workers via Helm, dedicated workers via Operator, KEDA queue-depth autoscaling, leader election, pool pause for cost savings.
    May 5, 2026
Adjacent topics
  • Kubernetes· 3
  • Autoscaling· 2
  • Operator· 2
  • Helm· 1
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