When the API literally burned your database after a typo
The article discusses the challenges faced by a development team in creating a reliable staging environment. They encountered issues with their initial setup that led to failures during chaos experiments. Ultimately, they rebuilt their staging architecture to be more resilient and observable, incorporating better practices for handling failures and retries.
- ▪The team needed a staging environment that could withstand human errors without affecting production.
- ▪Initial attempts to set up the environment led to significant failures due to misconfigurations and lack of monitoring.
- ▪The final solution involved using Kubernetes for a disposable Postgres setup and implementing a chaos pipeline to test resilience.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942542) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } mary moloyi Posted on May 21 When the API literally burned your database after a typo #kubernetes #devops #webdev #programming The Problem We Were Actually Solving We needed a staging environment that could tolerate the stupidity of humans. Not a toy cluster that looked like production but couldnt survive a mis-typed curl flag. The real requirement was: if an engineer turns staging into a dumpster fire at 3 am, nothing outside staging should notice.
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