Your K8s Infinity Gaunlet: The Marvel of KEDA and Cluster-API for Infinite Scale

on YouTube ↗45m

" summary

Combining KEDA with Cluster API makes proactive, event-driven cluster autoscaling possible by letting KEDA manipulate the machine deployment scale subresource via a scaled object; over 50 built-in scalers can drive scale decisions from queues, APMs or Prometheus. Practical wins include scaling dev clusters down to one worker during off hours to save cloud spend, and using predictive scalers (PredictCube) to preempt bursts. It works in production after ironing integration kinks, though KEDA lacks deep scheduler embedding and some provider glue (Carpenter-for-Cluster-API is alpha).

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" chapters (11)

1. 0:00KEDA and Cluster-API intro
2. 1:25Cluster-API overview
3. 8:48Cluster-API cluster management
4. 10:53Cluster autoscaling challenges
5. 15:54Carpenter vs Cluster Autoscaler
6. 21:15KEDA event-driven scaling
7. 25:09KEDA + Cluster-API for scale
8. 31:34KEDA + Cluster-API challenges
9. 33:59Benefits of KEDA + Cluster-API
10. 36:45Real-world KEDA use cases
11. 44:55Q&A

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