Crunchy Postgres Operator

PGO: The Postgres Operator from Crunchy Data

Production Postgres Made Easy

PGO, the Postgres Operator from Crunchy Data, gives you a declarative Postgres solution that automatically manages your PostgreSQL clusters.

Designed for your GitOps workflows, it is easy to get started with Postgres on Kubernetes with PGO. Within a few moments, you can have a production-grade Postgres cluster complete with high availability, disaster recovery, and monitoring, all over secure TLS communications. Even better, PGO lets you easily customize your Postgres cluster to tailor it to your workload!

With conveniences like cloning Postgres clusters to using rolling updates to roll out disruptive changes with minimal downtime, PGO is ready to support your Postgres data at every stage of your release pipeline. Built for resiliency and uptime, PGO will keep your Postgres cluster in its desired state, so you do not need to worry about it.

PGO is developed with many years of production experience in automating Postgres management on Kubernetes, providing a seamless cloud native Postgres solution to keep your data always available.

Installation

We recommend following our Quickstart for how to install and get up and running with PGO, the Postgres Operator from Crunchy Data. However, if you can't wait to try it out, here are some instructions to get Postgres up and running on Kubernetes:

1. Fork the Postgres Operator examples repository and clone it to your host machine. For example:

YOUR_GITHUB_UN="<your GitHub username>"
git clone --depth 1 "git@github.com:${YOUR_GITHUB_UN}/postgres-operator-examples.git"
cd postgres-operator-examples

1. Run the following commands

kubectl apply -k kustomize/install/namespace
kubectl apply --server-side -k kustomize/install/default

For more information please read the Quickstart and Tutorial.

Cloud Native Postgres for Kubernetes

PGO, the Postgres Operator from Crunchy Data, comes with all of the features you need for a complete cloud native Postgres experience on Kubernetes!

PostgreSQL Cluster Provisioning

Create, Scale, & Delete PostgreSQL clusters with ease, while fully customizing your Pods and PostgreSQL configuration!

High Availability

Safe, automated failover backed by a distributed consensus high availability solution. Uses Pod Anti-Affinity to help resiliency; you can configure how aggressive this can be! Failed primaries automatically heal, allowing for faster recovery time.

Support for standby PostgreSQL clusters that work both within and across multiple Kubernetes clusters.

Disaster Recovery

Backups and restores leverage the open source pgBackRest utility and includes support for full, incremental, and differential backups as well as efficient delta restores. Set how long you to retain your backups. Works great with very large databases!

Security and TLS

PGO enforces that all connections are over TLS. You can also bring your own TLS infrastructure if you do not want to use the defaults provided by PGO.

PGO runs containers with locked-down settings and provides Postgres credentials in a secure, convenient way for connecting your applications to your data.

Monitoring

Track the health of your PostgreSQL clusters using the open source pgMonitor library.

Upgrade Management

Safely apply PostgreSQL updates with minimal impact to the availability of your PostgreSQL clusters.

Advanced Replication Support

Choose between asynchronous and synchronous replication for workloads that are sensitive to losing transactions.

Clone

Create new clusters from your existing clusters or backups with efficient data cloning.

Connection Pooling

Advanced connection pooling support using pgBouncer.

Pod Anti-Affinity, Node Affinity, Pod Tolerations

Have your PostgreSQL clusters deployed to Kubernetes Nodes of your preference. Set your pod anti-affinity, node affinity, Pod tolerations, and more rules to customize your deployment topology!

Scheduled Backups

Choose the type of backup (full, incremental, differential) and how frequently you want it to occur on each PostgreSQL cluster.

Backup to Local Storage, S3, GCS, Azure, or a Combo!

Store your backups in Amazon S3 or any object storage system that supports the S3 protocol. You can also store backups in Google Cloud Storage and Azure Blob Storage.

You can also mix-and-match: PGO lets you store backups in multiple locations.

Full Customizability

PGO makes it easy to fully customize your Postgres cluster to tailor to your workload:

• Choose the resources for your Postgres cluster: container resources and storage size. Resize at any time with minimal disruption.
• • Use your own container image repository, including support imagePullSecrets and private repositories

• Customize your PostgreSQL configuration

Deploy PGO to watch Postgres clusters in all of your namespaces, or restrict which namespaces you want PGO to manage Postgres clusters in!

Included Components

PostgreSQL containers deployed with the PostgreSQL Operator include the following components:

• PostgreSQL
  • PostgreSQL Contrib Modules
  • PL/Python + PL/Python 3
  • PL/Perl
  • PL/Tcl
  • pgAudit
  • pgAudit Analyze
  • pg_cron
  • pg_partman
  • pgnodemx
  • set_user
  • TimescaleDB (Apache-licensed community edition)
  • wal2json

• pgBackRest
• pgBouncer
• pgAdmin 4
• pgMonitor
• Patroni
• LLVM (for JIT compilation)

In addition to the above, the geospatially enhanced PostgreSQL + PostGIS container adds the following components:

• PostGIS
• pgRouting

PostgreSQL Operator Monitoring uses the following components:

• pgMonitor
• Prometheus
• Grafana
• Alertmanager

For more information about which versions of the PostgreSQL Operator include which components, please visit the compatibility section of the documentation.

Supported Platforms

PGO, the Postgres Operator from Crunchy Data, is tested on the following platforms:

• Kubernetes 1.25-1.28
• OpenShift 4.10-4.13
• Rancher
• Google Kubernetes Engine (GKE), including Anthos
• Amazon EKS
• Microsoft AKS
• VMware Tanzu

This list only includes the platforms that the Postgres Operator is specifically tested on as part of the release process: PGO works on other Kubernetes distributions as well.

Contributing to the Project

Want to contribute to the PostgreSQL Operator project? Great! We've put together a set of contributing guidelines that you can review here:

• Contributing Guidelines

Once you are ready to submit a Pull Request, please ensure you do the following:

1. Reviewing the contributing guidelines and ensure that you have followed the commit message format, added testing where appropriate, documented your changes, etc.
2. Open up a pull request based upon the guidelines. If you are adding a new feature, please open up the pull request on the master branch.
3. Please be as descriptive in your pull request as possible. If you are referencing an issue, please be sure to include the issue in your pull request

Support

If you believe you have found a bug or have a detailed feature request, please open a GitHub issue and follow the guidelines for submitting a bug.

For general questions or community support, we welcome you to join our community Discord or the PGO project community mailing list and ask your questions there.

For other information, please visit the Support section of the documentation.

Documentation

For additional information regarding the design, configuration, and operation of the PostgreSQL Operator, pleases see the Official Project Documentation.

Past Versions

Documentation for previous releases can be found at the Crunchy Data Access Portal.

Releases

When a PostgreSQL Operator general availability (GA) release occurs, the container images are distributed on the following platforms in order:

• Crunchy Data Customer Portal
• Crunchy Data Developer Portal

The image rollout can occur over the course of several days.

To stay up-to-date on when releases are made available in the Crunchy Data Developer Portal, please sign up for the Crunchy Data Developer Program Newsletter. You can also join the PGO project community discord

The PGO Postgres Operator project source code is available subject to the Apache 2.0 license with the PGO logo and branding assets covered by our trademark guidelines.