CloudNativePG (CNPG) is an open source Kubernetes operator for running PostgreSQL in a cloud native way. It automates deployment, scaling, backups, upgrades, and failover of PostgreSQL clusters inside Kubernetes, using native PostgreSQL replication rather than external abstractions.
It addresses a familiar set of problems for teams running PostgreSQL on Kubernetes: high availability without custom glue code, predictable lifecycle management, and tight integration with Kubernetes primitives such as pods, services, and persistent volumes.
Used well, CloudNativePG combines PostgreSQL reliability with Kubernetes flexibility. Used poorly, it introduces new failure modes, performance regressions, and operational blind spots.
That gap between promise and reality is where we work.
We treat CloudNativePG as a PostgreSQL automation layer, not a replacement for PostgreSQL expertise.
PostgreSQL fundamentals come first. Kubernetes comes second. That order matters.
We help organizations design, implement, and operate CloudNativePG environments that hold up under real workloads, remain observable during failure, and behave predictably during maintenance and recovery.
We design CloudNativePG architectures based on workload characteristics and risk tolerance, not default manifests. This typically includes cluster topology, storage selection, replication behavior, backup design, and environment separation.
Unsafe defaults get challenged early. Database anti-patterns do not become production incidents later.
We challenge unsafe defaults and help you avoid common Kubernetes anti-patterns for databases.
We assist with new deployments and migrations from existing PostgreSQL environments, including VM-based setups and other operators.
Migrations are planned around data integrity, downtime tolerance, and rollback paths. Cutovers are controlled, not rushed.
Kubernetes does not remove the need for PostgreSQL tuning.
We tune PostgreSQL for containerized environments, analyze query performance, align resource limits with reality, and diagnose IO and latency problems that often hide behind scheduling decisions.
We provide ongoing support for production CloudNativePG environments. That includes incident response, failure analysis, operator behavior troubleshooting, and PostgreSQL issues that only show up once Kubernetes is involved.
Support is handled by senior PostgreSQL DBAs who understand how the operator behaves under pressure.
We plan and execute PostgreSQL and CloudNativePG upgrades with testing and rollback strategies in place.
No blind upgrades. No hope-based change management.
We review backup setups, test restores, validate point-in-time recovery, and run disaster recovery exercises.
Backups that have never been restored do not count.
We are experienced with both PostgreSQL and Kubernetes and we have real production experience running PostgreSQL under Kubernetes failure conditions.
PG Support offers:
We also communicate clearly with engineers and decision makers, without hiding tradeoffs behind buzzwords.
Talk to a PostgreSQL and CloudNativePG expert.