Database Insights

Optimize MySQL connection management for maximum throughput. Learn connection pooling with HikariCP, ProxySQL load balancing, and thread pool configuration.

A production guide to MySQL slow query log — enabling with long_query_time and log_queries_not_using_indexes, analyzing with pt-query-digest, reading EXPLAIN output, and fixing full table scans and N+1 loops.

MySQL 8.0 finally supports true descending indexes — eliminating the filesort that MySQL 5.7 required when sorting results in descending order. Here's how descending indexes work and when to add them.

A complete guide to PostgreSQL memory configuration and performance tuning, covering shared_buffers, work_mem, effective_cache_size, checkpoint tuning, and autovacuum settings that matter in production.

Optimize database performance by choosing the right data types and constraints. Learn about VARCHAR vs TEXT, INT sizes, ENUM optimization, and constraint best practices.

Avoid these common MySQL configuration mistakes that cripple performance. Learn proper buffer pool sizing, connection limits, and InnoDB settings for production workloads.

Master PostgreSQL VACUUM and autovacuum configuration for optimal database health. Learn dead tuple management, bloat prevention, and vacuum optimization strategies.

A comprehensive guide to optimizing AWS RDS MySQL performance through infrastructure tuning, parameter configuration, and query optimization

PgBouncer is the most widely deployed PostgreSQL connection pooler — lightweight, battle-tested, and straightforward to configure. Here's how to get it running in production.

ProxySQL's read/write splitting routes SELECT queries to replicas and writes to the primary automatically — but getting the configuration right requires understanding hostgroups, query rules, and lag-aware routing.

ProxySQL maintains a rich internal stats schema that most teams never fully explore. Here's how to use ProxySQL's built-in monitoring to track query latency, backend health, and connection pool utilization.

PgPool-II provides connection pooling, read/write splitting, and automatic failover for PostgreSQL — but its extensive configuration can be overwhelming. Here's a practical guide to getting PgPool-II running in production.