Stop spending 3 days on manual cluster setup. pgHawk deploys production-ready clusters in 25 minutes, then keeps them healthy with a 24/7 AI agent — across any cloud or bare metal.
in 25 minutes, not 3 days
AWS, GCP, Azure, Hetzner or bare metal
5–20× cheaper than managed databases
Companies are not afraid of PostgreSQL. They're afraid of the consequences: downtime, performance degradation, and months of DevOps time spent on repetitive cluster setup that varies every time.
Every cloud has different conventions. Every engineer has different habits. Without a system behind it, your PostgreSQL infrastructure is as unpredictable as the people who built it.
Infrastructure without a system becomes a liability.
Three capabilities. One platform. Zero manual steps.
How a cluster is deployed — automated, repeatable, cloud-agnostic
How architecture is standardized — proven, documented, reproducible
How control is established — real-time cluster health at a glance
Manual management does not scale. PostgreSQL needs a system behind it — not a runbook, not a hero engineer. pgHawk is that system, encoded from real production workloads.
Define your cluster spec: cloud provider, region, node count, PostgreSQL version, and replication mode. pgHawk validates and generates the full deployment plan.
pgHawk provisions infrastructure, installs PostgreSQL and Patroni, configures HA replication, tunes performance settings, and sets up backups — fully automated, no shell access needed.
Your cluster is live and self-managing. pgHawk handles failover, configuration drift, and scaling. You operate through a unified control layer — direct server access is rarely required.
Proven HA architecture with automatic failover. Your database keeps running — even when individual nodes don't.
Every cluster is built the same way, every time. No more "it worked on staging" incidents or configuration drift.
Automated health checks, failover, and backup validation catch problems before they reach production.
Production knowledge baked into every deployment. You don't need a senior DBA on call around the clock.
Deploy across any major cloud provider or your own hardware. pgHawk normalizes the complexity — you get the same production cluster, anywhere.
pgHawk doesn't just deploy your clusters — it watches over them. An AI reasoning engine with access to your metrics, logs, active queries, and configuration. It diagnoses issues, recommends fixes, and follows structured runbooks — 24/7, without waiting for a ticket.
Root cause identified. Sequential scan on events table (avg 872ms, was
12ms before 14:22 UTC).
idx_events_user_id is no longer selective.
idx_events_user_ts ON events(user_id, created_at DESC) — estimated 98% improvement. Use CONCURRENTLY to avoid lock.
orders and sessions tables — details in full report.
ANALYZE modifies planner statistics — I never run write or potentially disruptive
commands. Here's the command for you to execute:
Once you run it, I'll monitor the query plan shift and confirm the improvement. Alert threshold is set to 50ms — I'll notify you if the fix doesn't hold.
Tracks metrics, logs, active queries, lock chains, autovacuum activity, and configuration drift — across every node, every minute.
Detects slow queries, deadlocks, CPU spikes, memory pressure, index bloat, connection saturation, and replication lag automatically.
Reads execution plans, identifies missing indexes, finds redundant statistics, and recommends schema changes — with estimated impact.
Follows pre-defined playbooks for every common DBA scenario — slow query investigation, CPU spikes, connection storms, tuning, replication issues.
The agent uses safe, pre-approved SQL commands only. It never executes write, DDL, or potentially disruptive statements without explicit approval.
Connects to AWS CloudWatch, GCP Monitoring, Prometheus. Sends alerts to Slack or PagerDuty. Supports AWS RDS, Aurora, Cloud SQL, and self-hosted.