The Crunchy PostgreSQL Operator automates and simplifies deploying and managing open source PostgreSQL clusters on Kubernetes and other Kubernetes-enabled Platforms by providing the essential features you need to keep your PostgreSQL clusters up and running, including:
Create, Scale, & Delete PostgreSQL clusters with ease, while fully customizing your Pods and PostgreSQL configuration!
Safe, automated failover backed by a distributed consensus based 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 an across multiple Kubernetes clusters.
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 want your backups retained for. Works great with very large databases!
Secure communication between your applications and data servers by enabling TLS for your PostgreSQL servers, including the ability to enforce that all of your connections to use TLS.
Track the health of your PostgreSQL clusters using the open source pgMonitor library.
Quickly add and remove users from your PostgreSQL clusters with powerful commands. Manage password expiration policies or use your preferred PostgreSQL authentication scheme.
Safely apply PostgreSQL updates with minimal availability impact to your PostgreSQL clusters.
Choose between asynchronous replication and synchronous replication for workloads that are sensitive to losing transactions.
Create new clusters from your existing clusters with a simple pgo clone command.
Use pgBouncer for connection pooling
Have your PostgreSQL clusters deployed to Kubernetes Nodes of your preference
Choose the type of backup (full, incremental, differential) and how frequently you want it to occur on each PostgreSQL cluster.
Store your backups in Amazon S3 or any object storage system that supports the S3 protocol. The PostgreSQL Operator can backup, restore, and create new clusters from these backups.
You can control how the PostgreSQL Operator leverages Kubernetes Namespaces with several different deployment models:
- Deploy the PostgreSQL Operator and all PostgreSQL clusters to the same namespace
- Deploy the PostgreSQL Operator to one namespaces, and all PostgreSQL clusters to a different namespace
- Deploy the PostgreSQL Operator to one namespace, and have your PostgreSQL clusters managed acrossed multiple namespaces
- Dynamically add and remove namespaces managed by the PostgreSQL Operator using the
pgo create namespaceandpgo delete namespacecommands
The Crunchy PostgreSQL Operator makes it easy to get your own PostgreSQL-as-a-Service up and running on Kubernetes-enabled platforms, but we know that there are further customizations that you can make. As such, the Crunchy PostgreSQL Operator allows you to further customize your deployments, including:
- Selecting different storage classes for your primary, replica, and backup storage
- Select your own container resources class for each PostgreSQL cluster deployment; differentiate between resources applied for primary and replica clusters!
- Use your own container image repository, including support
imagePullSecretsand private repositories - Customize your PostgreSQL configuration
- Bring your own trusted certificate authority (CA) for use with the Operator API server
- Override your PostgreSQL configuration for each cluster
The PostgreSQL Operator is validated for deployment on Kubernetes, OpenShift, and VMware Enterprise PKS clusters. Some form of storage is required, NFS, hostPath, and Storage Classes are currently supported.
The PostgreSQL Operator includes various components that get deployed to your Kubernetes cluster as shown in the following diagram and detailed in the Design section of the documentation for the version you are running.
The PostgreSQL Operator is developed and tested on CentOS and RHEL linux platforms but is known to run on other Linux variants.
The Crunchy PostgreSQL Operator is tested on the following Platforms:
- Kubernetes 1.13+
- OpenShift 3.11+
- Google Kubernetes Engine (GKE), including Anthos
- VMware Enterprise PKS 1.3+
The Crunchy PostgreSQL Operator is tested with a variety of different types of Kubernetes storage and Storage Classes, including:
- Google Compute Engine persistent volumes
- HostPath
- NFS
- Rook
- StorageOS
and more.
We know there are a variety of different types of Storage Classes available for Kubernetes and we do our best to test each one, but due to the breadth of this area we are unable to verify PostgreSQL Operator functionality in each one. With that said, the PostgreSQL Operator is designed to be storage class agnostic and has been demonstrated to work with additional Storage Classes.
The PostgreSQL Operator provides a few different methods for installation based on your use case.
Based on your storage settings in your Kubernetes environment, you may be able to start as quickly as:
kubectl create namespace pgo
kubectl apply -f https://raw.githubusercontent.com/CrunchyData/postgres-operator/v4.3.2/installers/kubectl/postgres-operator.ymlOtherwise, we highly recommend following the instructions from our Quickstart.
Installations methods include:
If you have the PostgreSQL Operator installed in your environment, and are interested in installation of the client interface, please start here:
There is also a pgo-client container if you wish to deploy the client directly to your Kubernetes environment.
If you have the PostgreSQL and Client Interface installed in your environment and are interested in guidance on the use of the Crunchy PostgreSQL Operator, please start here:
Want to contribute to the PostgreSQL Operator project? Great! We've put together as set of contributing guidelines that you can review here:
If you want to learn how to get up your development environment, please read our documentation here:
Once you are ready to submit a Pull Request, please ensure you do the following:
- Reviewing the contributing guidelines and ensure your that you have followed the commit message format, added testing where appropriate, documented your changes, etc.
- Open up a pull request based upon the guidelines. If you are adding a new
feature, please open up the pull request on the
masterbranch. If you have a bug fix for a supported version, open up a pull request against the supported version branch (e.g.REL_4_2for 4.2) - 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
Please use GitHub to submit an issue for the PostgreSQL Operator project.
If you would like to work the issue, please add that information in the issue so that we can confirm we are not already working no need to duplicate efforts.
If you have any question you can submit a Support - Question and Answer issue and we will work with you on how you can get more involved.
For additional information regarding design, configuration and operation of the PostgreSQL Operator, pleases see the Official Project Documentation
If you are looking for the nightly builds of the documentation, you can view them at:
https://crunchydata.github.io/postgres-operator/latest/
Documentation for previous releases can be found at the Crunchy Data Access Portal