Leveraging the Wrong Scaling Patterns Will Lose You in Production
The article discusses the challenges faced by a team when scaling their application in AWS. Initially, they attempted to scale vertically by adding more RDS instances, which did not resolve their performance issues. Ultimately, they shifted to a sharding solution and implemented a caching layer, but still encountered problems with Redis timeouts and NGINX errors.
- ▪The team initially optimized for the wrong problem, focusing on vertical scaling within a single availability zone.
- ▪Their first solution of adding more RDS instances failed to address disk I/O and CPU usage issues.
- ▪Implementing a sharding solution and caching layer improved performance but did not eliminate all issues.
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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 22 Leveraging the Wrong Scaling Patterns Will Lose You in Production #webdev #programming #devops #kubernetes The Problem We Were Actually Solving In hindsight, we were trying to optimize for the wrong problem.
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