About
Built by Production DBAs
Monti was not conceived in a boardroom or designed by committee. It was built by an engineer who spent years operating PostgreSQL clusters at scale and grew frustrated with the tooling gap.
The Origin Story
Every production DBA knows the feeling: a query that ran fine for months suddenly regresses. The execution plan changed, but nobody noticed until users started complaining. Autovacuum fell behind on a critical table. A lock chain cascaded across the cluster. The built-in PostgreSQL tooling gave you raw counters and system catalog views, but no actionable context.
Monti was built to fill that gap. It is the tool its creator wished existed during years of running production PostgreSQL at enterprise scale. Every feature addresses a real operational pain point, not a theoretical use case imagined in a product meeting.
The project is grounded in a simple belief: PostgreSQL is one of the most reliable databases in existence, but its operational visibility does not match its engineering quality. Monti exists to close that gap.
Engineering Credentials
- Many years of production PostgreSQL operations
- Managed clusters with 50TB+ datasets
- Millions of transactions per second at peak
- Enterprise environments across finance, healthcare, and SaaS
- Deep expertise in vacuum internals, locking, and replication
Mission
Close the Visibility Gap
PostgreSQL generates enormous amounts of performance telemetry. Most of it is inaccessible through standard tooling. Monti makes it visible, structured, and actionable.
Approach
Engineering-First
Every feature is designed for senior engineers and DBAs. No abstraction layers that hide critical details. No dumbed-down dashboards. Full technical depth, always.
Commitment
Production Reliability
Monti runs in production environments that cannot tolerate flaky tooling. Low overhead, secure architecture, and battle-tested stability are not optional features.
Ready to Take Control of Your PostgreSQL Performance?
Deploy Monti on your cluster and get full visibility into execution plans, locks, vacuum behavior, and bloat.