Expert insights on database management, performance optimization, and reliability engineering from industry professionals
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.
Understand the differences between OLAP and OLTP systems — query patterns, storage engines, and when to use a hybrid approach
Avoid these common MySQL configuration mistakes that cripple performance. Learn proper buffer pool sizing, connection limits, and InnoDB settings for production workloads.
Size and configure the InnoDB buffer pool correctly to maximize cache hit ratios and minimize disk I/O
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.
Discover how jemalloc, tcmalloc, and mimalloc can dramatically improve MySQL memory management. Real benchmarks showing 2-4x performance improvements and memory leak prevention.
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