Brian, VP Cloud Platform Engineering at JPMorgan Chase, shares his ingenious side project that automatically scales Kubernetes workloads based on whether his MacBook is open or closed.
You will learn:
- How KEDA differs from traditional Kubernetes HPA
- The technical architecture connecting macOS notifications through CloudWatch
- Cost optimization strategies
- Creative approaches to autoscaling signals beyond CPU and memory
Watch (or listen to) it here: https://ku.bz/sFd8TL1cS
🌟 This episode is brought to you by Testkube—the ultimate Continuous Testing Platform for Cloud Native applications. Scale fast, test continuously, and ship confidently https://ku.bz/lnxYK3s0L
With @Birthmarkb "New Soundproof Studio" Farrell
Post #1488
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Forwarded from KubeFM