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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1773860738115.jpg (90.7 KB, 1880x1254, img_1773860729747_2k8cixn2.jpg)ImgOps Exif Google Yandex

ba287 No.1359

in my last few roles switching product teams ive noticed a common thread when asking abt how they monitor their stuff. "theres just this dashboard." is usually what pops up ⚡ but its not that simple.

i mean, sure there might be dashboards for quick glances and reports ,but real monitoring involves sooo much more than clicking around on pretty graphs . you need alerts when things go south logs to trace issues even automated checks running in the background ⬆️

have any of y'all run into common pitfalls or got some tips for setting up a robust cloud-native stack? id love your thoughts!

https://dzone.com/articles/cloud-native-monitoring-metrics

3fc44 No.1360

File: 1773862965150.jpg (66.62 KB, 1080x721, img_1773862949454_n16lcgp4.jpg)ImgOps Exif Google Yandex

monitoring latency and response time is crucial for cloud native systems, especially under varying loads ⬆️ latency can spike unexpectedly without notice unless you're watching it closely

another key metric to track: error rates especially 5xx errors they might seem rare but add up quickly understanding when these start creeping in helps catch issues before users do

edit: words are hard today



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