Running PostgreSQL in Docker is straightforward - until you need custom tuning, point-in-time recovery, and automated backups. We set up Postgres containers with production-grade postgresql.conf tuning, WAL archiving, scheduled pg_dump backups, and health checks that verify the database is actually accepting connections.
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PostgreSQL's default configuration is designed for a laptop with 1 GB of RAM - shared_buffers at 128 MB, work_mem at 4 MB, effective_cache_size at 4 GB. Running Postgres in Docker with these defaults means wasting your server's resources.
Dockerized Postgres also needs persistent storage that survives container recreation, a backup strategy that does not depend on SSH access, and monitoring that integrates with your container orchestrator's health check system.
Production Postgres Compose stack:
FROM postgres:16-alpine - custom postgresql.conf mounted via volume, tuned for your server's RAM: shared_buffers=RAM/4, effective_cache_size=RAM*3/4, work_mem based on connection count, maintenance_work_mem=RAM/16. Initialization scripts in /docker-entrypoint-initdb.d/.pg_dump on a cron schedule, compressing with gzip, and rotating old backups. Optionally pushes to S3-compatible storage.postgres_exporter for Prometheus metrics.Health check: pg_isready -U $POSTGRES_USER -d $POSTGRES_DB. Data lives on a named volume pgdata:/var/lib/postgresql/data. Connection pooling via PgBouncer sidecar for high-connection apps.
docker-compose.yml with tuned Postgres, backup sidecar, and optional PgBouncerpostgresql.conf tuned for your server's resourcespg_isreadySkip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.