Expert insights on database management, performance optimization, and reliability engineering from industry professionals
MySQL 8.0 introduced multi-valued indexes — allowing you to index individual elements of a JSON array so queries using MEMBER OF or JSON_OVERLAPS can use an index.
Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production
Detect query plan regressions in PostgreSQL using auto_explain, pg_hint_plan, and plan baseline management
Identify bloated indexes in PostgreSQL using pgstattuple, REINDEX CONCURRENTLY, and automated monitoring
pg_partman automates PostgreSQL partition lifecycle. This guide covers create_parent(), retention policies, partition pruning, and migrating existing tables without downtime.
Tune PostgreSQL checkpoint frequency, WAL segment size, and bgwriter to maximize write throughput
A deep dive into PostgreSQL JSONB vs JSON storage formats, GIN and B-tree indexing strategies, containment operators, and the performance characteristics that determine which to use for document storage workloads.
Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime
Use MySQL Performance Schema to profile queries, monitor memory, and diagnose bottlenecks without guesswork
Master Redis performance tuning with expert tips on memory optimization, connection pooling, data structures, and caching strategies for high-traffic apps.
A deep dive into InnoDB locking — record locks, gap locks, next-key locks, how READ COMMITTED eliminates gap locks, diagnosing deadlocks with SHOW ENGINE INNODB STATUS and performance_schema, and prevention patterns.
MySQL InnoDB supports multiple compression strategies — from ROW_FORMAT=COMPRESSED to transparent page compression using punch holes. Choosing the right approach can cut storage by 40-70% for text-heavy workloads.
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