@kodekloud: Canary Deployments in Kubernetes, Done Right 🐤 A version can pass every test and still break in production, because prod is a different kind of complex. This one explains it with a real example: 10 stable pods, 1 canary, and the traffic math that trips people up. Pod count is a bad traffic lever, so the split moves to ingress or a service mesh where 1% truly means 1%. Canary metrics only matter next to the stable version, and a failure your metrics never see still gets promoted. Where would your canary go blind first, latency or something your metrics never watch? Tell us in the comments 👇 #Kubernetes #CanaryDeployment #DevOps #ArgoRollouts #K8s #ServiceMesh #CloudNative #SRE #Deployment #KodeKloud

KodeKloud
KodeKloud
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Monday 07 September 2026 12:27:00 GMT
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johnbeast5
Luke Skywalker :
What about DB? If it has schema changes in new version?
2026-09-08 04:10:29
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p3rformance3
P3RFORMANCE :
If my NPE is 1:1 to prod, why wouldn't a prod deployment work?
2026-09-07 14:04:59
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altcontrolstart
alt+control+start :
thanks for sharing this fills in gaps in my k8 knowledge
2026-09-09 21:09:06
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