PostgreSQL Performance Tuning - From 500ms to 20ms Queries
Practical PostgreSQL performance tuning techniques that reduced query times from 500ms to 20ms, including indexing strategies, query optimization, and configuration tuning.
15 posts
Practical PostgreSQL performance tuning techniques that reduced query times from 500ms to 20ms, including indexing strategies, query optimization, and configuration tuning.
MongoDB schema design patterns and anti-patterns learned from managing a 500GB database with 100M+ documents.
Mastering MongoDB aggregation pipeline for complex data transformations, analytics, and reporting with real-world examples.
Optimizing PostgreSQL JSONB queries from 2 seconds to 50ms using indexes, query planning, and schema design.
Optimized MongoDB queries with aggregation pipeline - query time 30s → 2s (93% faster), complex analytics now possible
Upgraded to PostgreSQL 13 - B-tree deduplication, parallel vacuum, incremental sort. Query performance improved by 40%, vacuum 2x faster
Upgraded to Redis 6.0 - implemented ACL for multi-tenant security, SSL/TLS encryption. Eliminated security vulnerabilities, zero breaches
Optimized MySQL 8.0 with new features - query performance 10x, instant DDL, invisible indexes. QPS 1K → 10K
Migrating databases without downtime - backward-compatible changes, dual-write pattern, and migrating 500GB database with zero user impact
Managing persistent storage in Kubernetes - PV, PVC, StorageClass, dynamic provisioning, and running databases in production
Implementing robust PostgreSQL backup strategies - pg_dump, pg_basebackup, PITR, and the disaster recovery plan that saved our business
Setting up MySQL replication for read scaling and failover - master-slave configuration, monitoring lag, and handling failures
Choosing the right Redis persistence strategy - RDB snapshots, AOF logs, and hybrid approach for our caching layer
How I optimized slow database queries using indexes, query analysis, and caching strategies
Optimizing slow queries with proper indexing strategies - B-tree, partial indexes, and covering indexes in production