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Postgres operator creates and manages PostgreSQL clusters running in Kubernetes

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Postgres Operator

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The Postgres Operator delivers an easy to run highly-available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines with no access to Kubernetes API directly, promoting infrastructure as code vs manual operations.

Operator features

  • Rolling updates on Postgres cluster changes, incl. quick minor version updates
  • Live volume resize without pod restarts (AWS EBS, PVC)
  • Database connection pooling with PGBouncer
  • Support fast in place major version upgrade. Supports global upgrade of all clusters.
  • Restore and cloning Postgres clusters on AWS, GCS and Azure
  • Additionally logical backups to S3 or GCS bucket can be configured
  • Standby cluster from S3 or GCS WAL archive
  • Configurable for non-cloud environments
  • Basic credential and user management on K8s, eases application deployments
  • Support for custom TLS certificates
  • UI to create and edit Postgres cluster manifests
  • Support for AWS EBS gp2 to gp3 migration, supporting iops and throughput configuration
  • Compatible with OpenShift

PostgreSQL features

The Postgres Operator has been developed at Zalando and is being used in production for over five years.

Supported Postgres & K8s versions

Release Postgres versions K8s versions Golang
v1.10.* 10 → 15 1.21+ 1.19.8
v1.9.0 10 → 15 1.21+ 1.18.9
v1.8.* 9.5 → 14 1.20 → 1.24 1.17.4
v1.7.1 9.5 → 14 1.20 → 1.24 1.16.9

Getting started

For a quick first impression follow the instructions of this tutorial.

Supported setups of Postgres and Applications

Features Features

Documentation

There is a browser-friendly version of this documentation at postgres-operator.readthedocs.io

Community

There are two places to get in touch with the community:

  1. The GitHub issue tracker
  2. The #postgres-operator slack channel

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Postgres operator creates and manages PostgreSQL clusters running in Kubernetes

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