Event-Driven Autoscaling for Serverless Java

on YouTube ↗55m

" summary

Demonstrates event-driven autoscaling for Java apps using Quarkus, Kafka and OpenShift, showing HPA failing to react to stream load while KEDA scales correctly to handle 5 million records from Kafka and creates an HPA via a scale object CRD. Shows KNative serving for true 0-idle serverless and the combined KEDA + KNative integration that scales both eventing layer and services (0 to 10 pods) with built-in scalers (60+), plus measured startup/latency behavior.

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" chapters (12)

1. 0:00Introduction and speaker intro
2. 1:51Kubernetes scaling challenges
3. 8:15Introducing KEDA autoscaling
4. 15:02Demo 1: Kafka and HPA limitations
5. 27:10Redesigning with KEDA
6. 31:51Serverless with Knative
7. 34:21Demo 2: Knative serverless scaling
8. 41:07KEDA vs Knative comparison
9. 42:32Integrating KEDA and Knative
10. 43:37Demo 3: KEDA-Knative integration
11. 51:28Summary and future work
12. 54:41Q&A and resources

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