Managed PostgreSQL Hosting

Default PostgreSQL settings are designed for compatibility, not performance. We tune shared_buffers, work_mem, effective_cache_size, maintenance_work_mem, and dozens of other parameters based on your hardware specifications and workload characteristics. OLTP workloads get different tuning than analytics workloads. Mixed workloads get a balanced configuration with connection pooling via PgBouncer.

We configure PostgreSQL extensions based on your needs — PostGIS for geospatial data, pg_trgm for fuzzy text search, pg_stat_statements for query performance analysis, TimescaleDB for time series, and pgvector for AI embeddings. Every extension is tested for compatibility with your PostgreSQL version before deployment.

Production PostgreSQL runs with synchronous or asynchronous streaming replication managed by Patroni. The primary streams WAL records to one or more replicas in real time. Patroni monitors primary health and promotes a replica automatically if the primary fails, updating the service endpoint within seconds. Your application reconnects and resumes operations with minimal interruption.

Read replicas can serve read-only queries to distribute load. Connection routing directs write queries to the primary and read queries to replicas, increasing total throughput without application changes. We configure read replica lag monitoring and remove lagging replicas from the read pool automatically.

We implement continuous archiving with WAL-G or pgBackRest. Full base backups run daily, and WAL segments are archived continuously. This combination enables point-in-time recovery to any second within your retention window — not just the last daily snapshot. If a developer accidentally drops a table at 2:47 PM, we recover to 2:46 PM.

Backup storage is encrypted and replicated to a separate geographic location. We verify backup integrity weekly by restoring to an isolated test environment and running automated consistency checks. You receive backup health reports confirming that your recovery capability is real, not theoretical.

pg_stat_statements tracks every query pattern running against your database. We analyze the top queries by total execution time, identify missing indexes, detect sequential scans on large tables, and flag queries with excessive buffer reads. Weekly performance reports highlight slow queries and include specific optimization recommendations.

We monitor vacuum activity, bloat accumulation, index usage statistics, and lock wait events. Autovacuum is tuned per table based on update frequency and table size. When bloat accumulates despite autovacuum, we schedule manual VACUUM FULL operations during maintenance windows. The result is a PostgreSQL instance that stays fast as your data grows from gigabytes to terabytes.