KEDA - Real Time And Serverless Scaling In Kubernetes
summary
KEDA converts external event counts into Kubernetes autoscaling decisions by creating a ScaledObject (or ScaleJob) that produces HPA metrics. Demo uses RabbitMQ, targets 5 messages per container, and scales from scale to zero up to eight pods within seconds; a fallback replica count kicks in if the queue is unreachable. Supports 50+ event sources, TriggerAuthentication for Secrets/Vault/Workload Identity, and uses the custom metrics adapter; caching, predictive autoscaling and a carbon-intensity cap POC are planned. The demo works end-to-end and requires no application code changes.
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chapters (8)
- 0:00Start
- 2:45A tale of two scalings....
- 5:53Hello KEDA Demo
- 11:47Architecture
- 16:47KEDA vs Custom Metrics Adapter
- 17:25Advanced features
- 19:21Authentication
- 20:22What is next?
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