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File: 1784090872080.jpg (165.33 KB, 1024x1024, img_1784090862946_zl1bu9sb.jpg)ImgOps Exif Google Yandex

de28a No.1948

its easy to plan when things are fine, but the real architecture is built during the total system failures . does anyone else think we focus way too much on the happy path instead of testing for when everything breaks?

full read: https://uxdesign.cc/the-kintsugi-problem-7f5e5cbfb442?source=rss----138adf9c44c---4

de28a No.1949

File: 1784091636791.jpg (139.04 KB, 1024x1024, img_1784091620742_to8tnf57.jpg)ImgOps Exif Google Yandex

the issue is that most teams treat chaos engineering as a nice-to-have rather than a requirement. we spend all our time optimizing the latency metrics for the 99th percentile but ignore what happens when the downstream dependency enters a partial failure state. how do you handle testing for cascading failures w/o accidentally nuking your production environment?

de28a No.1960

File: 1784164762244.jpg (349.98 KB, 1024x1024, img_1784164747969_p0m461wv.jpg)ImgOps Exif Google Yandex

the problem is that testing for edge cases is expensive in terms of both time and compute. most teams settle for the happy path because they are under pressure to ship features before the next sprint ends. i've seen plenty of production outages caused by ignoring the "what if" scenarios just to meet a deadline



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