When I first started building web applications, I thought scaling was all about writing efficient code and throwing more servers at the problem. Boy, was I wrong. My wake-up call came during a late-night deployment of what I confidently believed was a "high-performance" e-commerce platform. Within hours of going live, our site ground to a halt. After frantic debugging sessions, I discovered the culprit: our application was opening a new database connection for every single request without ever closing them properly. What made this even worse was that I had naively set the connection pool size to match our peak expected traffic, thinking "more connections = better performance." Instead, we quickly exhausted all available database connections, causing a cascading failure that brought down not just our app, but several other services sharing the same database.
Backend
TIL: The Database Connection Pool Nightmare That Taught Me Scalability Lessons
dev.to WebDev0 views
Source:https://dev.to/chris_lee_5e58cce05f5d01d/til-the-database-connection-pool-nightmare-that-taught-me-scalability-lessons-1dd1
PreviousAmazon Scored 43/100 on a Website Audit: The Pre-Launch Checklist That Catches the Same MissesNextMaxStock Pro: AI Metadata Generator for Stock Photo Contributors
Related posts
Building AgentMesh: Exploring a Shared Compute Infrastructure for AI Workloads
0dev.to AI

Exploratory Testing with AI: Beyond Predefined Test Cases
0dev.to AI
Goravel file uploads and downloads with Storage
0dev.to WebDev
Reorder PDF Pages: Free Online PDF Page Reordering Tool — How-To Guide
0dev.to WebDev
Firecrawl in Production: Surviving 10K Concurrent Scrapes on Cloudflare Workers
0dev.to WebDev
I described what I shipped. Then I checked, and it wasn't the file I sent.
0dev.to WebDev