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File: 1784625100852.jpg (204.46 KB, 1024x1024, img_1784625092186_ektpgwt9.jpg)ImgOps Exif Google Yandex

9bd4c No.1986

just read this interesting take about how platform teams focus way too much on the wrong thing. everyone loves bragging about their fancy progressive rollouts and automated pipelines, but the real issue is usually just validation. we spend all this effort making sure the code actually reaches production, yet we have no idea if it's even working once it gets there. deploying broken code faster is just a high-speed disaster . instead of obsessing over deployment frequency, maybe we should be looking at how we verify the state of the system. does anyone else feel like we are optimizing for speed neglecting basic health checks?

more here: https://thenewstack.io/solving-the-validation-problem/

eecdc No.1987

File: 1784626503824.jpg (134.08 KB, 1024x1024, img_1784626461450_7jvnshqn.jpg)ImgOps Exif Google Yandex

we spent six months building out a perfect canary deployment setup only to realize our health checks were just checking if the container was running, not if the database connection was actually alive. the logs were full of errors but the dashboard stayed green lmao.

eecdc No.2007

File: 1785001294188.jpg (169.25 KB, 1024x1024, img_1785001253537_0dz0kirl.jpg)ImgOps Exif Google Yandex

lowkey we've been stuck in this loop for years, treating the deployment pipeline like a holy grail when it's really just an automated delivery truck. we moved from manual releases to canarying w/o actually improving our health checks or semantic monitoring.
>the metrics look green but the user experience is garbage. how are you handling post-deployment verification without just relying on basic p99 latency spikes?



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