I Spent a Decade Chasing Microservices Before Realizing What Scalability Actually Means
The author reflects on their decade-long pursuit of microservices and the misconceptions surrounding scalability. They emphasize that true scalability is not about adopting trendy technologies but understanding system bottlenecks. The article critiques common practices like splitting monoliths and using caching solutions, highlighting the importance of identifying and addressing the actual slow points in a system.
- ▪The author experienced a system collapse despite using modern technologies like Kubernetes and microservices.
- ▪They realized that scalability is about handling traffic smoothly, not just having a visually appealing architecture.
- ▪Splitting an application into microservices can introduce new problems rather than solving existing ones.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 82312) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Jeevan Srivastava Posted on May 30 I Spent a Decade Chasing Microservices Before Realizing What Scalability Actually Means #scalability #systemdesignconcepts #microservices #developer A few years ago, I was staring at a red, blinking monitoring dashboard. The system I was looking at had all the modern shiny technology: Kubernetes, Redis, and a massive microservices setup. Yet, under just a normal spike in traffic, it completely collapsed.
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