Event driven Autoscaling for Serverless Java

on YouTube ↗58m

" summary

Shows a concrete setup: a Quarkus Java consumer wired to an Apache Kafka topic, HPA set to 70% CPU that fails to react to bursts, and a KEDA scaleObject that pulls Kafka event metrics and drives HPA to ten pods under load. Uses Quarkus 2.16.6 (mention of Quarkus 3 features), demonstrates a synthetic job generating millions of messages, and compares Knative scale-to-zero serverless behavior to KEDA’s pull model. Combines them via a KEDA+Knative sandbox to get fast, flexible event-driven autoscaling.

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" chapters (7)

1. 0:00Introduction and speaker background
2. 7:10Kubernetes auto scaling challenges
3. 16:25Demo setup with Quarkus and Kafka
4. 30:25Improving scaling with Keda
5. 36:45Serverless behavior with K native
6. 49:15Combining Keda and K native
7. 57:05Summary and next steps

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