Ann R.·5d agoThe MySQL Connection Pool Myth in PHP — Why There Isn’t OneEach PHP-FPM worker has its own DB connection cache. 4 servers × 50 workers × 3 DBs = 600 connections. The math no one does.A response icon1
Thejesh Nannapaneni·Sep 14The Read-Only Query That Held Our Writer HostageSome incidents announce themselves. A deploy goes out, an error rate jumps, you roll back, and you’re done before your coffee gets cold.
Gaddam.Naveen·Aug 181 vs 100 vs 1,000 vs 10,000: The Batch Size Experiment Every Backend Engineer Should KnowHow to Efficiently Insert 5 Million Records into a Database Using Spring Boot: Performance, Scalability, Concurrency, and Production Best…A response icon4
InWrite A CatalystbyDevOps voice·Sep 8Keepalived nopreempt with HAProxy and MySQL Master-Master: Solving Unwanted Failback in High…▶️ YouTube , 📸 Instagram , 💼 LinkedIn , ✍️ MediumA response icon1
Yerram venkata ramana reddy·4h ago10 SQL Practice Problems Every Data Analyst Should Be Able to SolveReading about JOINs and window functions only gets you so far. Here’s where you actually put them to work.
Ann R.·5h agoKeeping Elasticsearch in Sync With MySQL — The CDC vs Dual-Write DilemmaEach PHP-FPM worker has its own DB connection cache. 4 servers × 50 workers × 3 DBs = 600 connections. The math no one does.
Rajesh Kumar·8h agoMySQL Wasn’t the Problem: How YouTube Scaled It with VitessReplicas bought time. Sharding bought capacity. Vitess made the complexity operable.
ashdeep upadhyay·15h agoWhy Uber Switched to MySQL: 5 Core Architectural Trade-offsA deep dive into the architectural trade-offs of database scaling.
InJavarevisitedbyTalat Waheed·17h agoCommon SQL Bugs I See in Testing and How to Catch Them EarlyA Beginner-Friendly Guide to Finding SQL Query Errors, JOIN Problems, NULL Issues, Duplicate Data, and Database Bugs Before They Reach…
