The JusDB Database Engineering Blog

Design multi-tenant databases — compare schema-per-tenant, row-level-security, and database-per-tenant approaches

Build a real-time analytics pipeline from PostgreSQL to ClickHouse using CDC — architecture, latency, and schema mapping

Use Aurora Serverless v2 for cost-effective scaling — ACU configuration, scaling behavior, and when it fits

Configure pgBackRest for full, differential, and WAL archiving backups with S3 storage and point-in-time recovery

Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime

Fine-tune PostgreSQL autovacuum to eliminate dead tuples, prevent table bloat, and maintain query performance

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production

How to use pg_stat_statements to identify slow queries, analyze execution stats, and optimize PostgreSQL performance

2025 was the year databases competed on operational simplicity. Serverless databases matured, pgvector merged vector search into PostgreSQL, and CDC became standard infrastructure. Here's what mattered and what's next.

PostgreSQL WAL retention is a balancing act — too little and standbys fall behind; too much and you risk disk exhaustion. Here's how to configure wal_keep_size and manage replication slots safely.

Compare Liquibase and Flyway for production database schema management. Learn changelog formats, rollback strategies, team workflows, and CI/CD integration patterns.

Five counterintuitive database performance truths every engineer gets wrong — over-indexing costs, N+1 queries, connection pool sizing, replica reads, and EXPLAIN limitations.