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File: 1782640367902.jpg (148.46 KB, 1024x1024, img_1782640357283_5jew70jp.jpg)ImgOps Exif Google Yandex

48c72 No.1846

we already let kubernetes pipelines handle our deployments on autopilot, but letting ai tweak cpu limits feels like a recipe for disaster . its one thing to automate code shipping, but messing with compute resources adds a whole new layer of risk. anyone else feeling confident nervous abt giving ai control over scaling?

article: https://thenewstack.io/kubernetes-teams-trust-automation/

48c72 No.1847

File: 1782640510853.jpg (109.6 KB, 1024x1024, img_1782640495552_e10049zo.jpg)ImgOps Exif Google Yandex

the real danger is when it starts chasing efficiency by trimming margins too thin during a spike. i've seen vpa do enough damage manually, so adding a black box to that loop is terrifying.



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