The JusDB Database Engineering Blog

PostgreSQL 19 Beta 1 (June 4, 2026) brings parallel autovacuum, the native REPACK command for online table rebuilds, 2x faster inserts under foreign-key load, online logical replication without a restart, WAIT FOR LSN for read-your-writes consistency, and default changes (JIT off, lz4 TOAST, RADIUS removed). A DBA-focused walkthrough of what changed and what to test before GA.

Walk through PostgreSQL's multi-process architecture, shared/local memory layout, page-organized storage, MVCC tuple versioning, the WAL write path, the query execution pipeline, and physical + logical replication — all with ASCII flow diagrams that show how data and control actually move through the system.

Production-ready MySQL Group Replication deployment guide. Learn cluster sizing, monitoring setup, performance tuning, and disaster recovery planning.

Configure MySQL binlog retention safely: binlog_expire_logs_seconds, manual purging rules, AWS RDS retention, and the disk-exhaustion failure mode you should monitor for.

Production MariaDB Galera Cluster: mariabackup-based SST, MaxScale Galera-aware routing, schema-change strategy with TOI vs RSU, and a troubleshooting playbook for the failures that actually take down production.

PostgreSQL 16 introduced logical replication from standbys, pg_stat_io, SQL/JSON constructors, COPY improvements, and pg_stat_checkpointer. Full DBA upgrade guide.

Configure Patroni to use Consul instead of etcd as its DCS for PostgreSQL HA. Covers Consul setup, patroni.yml, service discovery, HAProxy routing, and failover testing.

Learn how to convert a standalone PostgreSQL instance to a Patroni high-availability cluster with etcd. Step-by-step guide covering installation, configuration, and failover testing.

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

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Compare CDC, ETL, and ELT — latency, complexity, cost, and when each pattern fits your data pipeline needs

Understand RDS Multi-AZ for HA and Read Replicas for read scaling — failover behavior, replication lag, and costs