The JusDB Database Engineering Blog

Design multi-region database topologies for global latency and DR. Compares active-passive, Aurora Global Database replication, and application-level read routing patterns.

Implement database CI/CD with Flyway migrations, GitHub Actions pipelines, pytest schema tests, and blue-green deployment patterns. Eliminate ad-hoc schema changes.

A practical guide to hardening PostgreSQL: configure SSL/TLS, tighten pg_hba.conf, implement least-privilege roles, enable row-level security, and set up audit logging.

Add vector similarity search to PostgreSQL with pgvector. Covers HNSW and IVFFlat indexes, cosine similarity queries, OpenAI embedding integration, and hybrid search.

Use ClickHouse for sub-second analytics on billions of rows. Covers MergeTree table engine, LowCardinality types, AggregatingMergeTree materialized views, and MySQL ingestion.

PostgreSQL RLS enforces tenant isolation at the database level, bypassing application filtering bugs entirely. Learn to implement RLS policies, index for performance, and test policies before production.

PostgreSQL's logging system is powerful but requires careful configuration to be useful in production. Learn how to capture slow queries, connection events, and DDL changes without drowning in noise.

Upgrade PostgreSQL major versions with sub-second downtime using logical replication. Step-by-step guide covering schema copy, subscription setup, lag monitoring, and sequence resync.

Compare Redis persistence modes: RDB snapshots for fast restarts, AOF for sub-second durability, and the combined RDB+AOF approach. Includes data loss and I/O tradeoff matrix.

Four configuration mistakes account for 60% of AWS database waste. Learn to right-size to Graviton3, convert gp2 to gp3 storage, audit idle replicas, and use Reserved Instances to cut your database bill by 25-40%.

Implement PostgreSQL declarative range partitioning with partition pruning, propagated indexes, instant DETACH for archival, and pg_partman for automated partition management.

Monitor InnoDB lock contention with performance_schema.data_locks, find blocking transactions, kill them safely, and prevent escalation with short transactions and proper timeouts.