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The DB Operator creates databases and make them available in the cluster via Custom Resource.

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DB Operator

The DB Operator eases the pain of managing PostgreSQL and MySQL instances for applications running in Kubernetes. The Operator creates databases and make them available in the cluster via Custom Resource. It is designed to support the on demand creation of test environments in CI/CD pipelines.

Features

DB Operator provides following features:

  • Create/Delete databases on the database server running outside/inside Kubernetes by creating Database custom resource;
  • Create Google Cloud SQL instances by creating DbInstance custom resource;
  • Automatically create backup CronJob with defined schedule (limited feature);

Documentations

Helm Chart is migrated!

The repository contains helm charts for db-operator is moved to https://github.com/kloeckner-i/charts New chart after db-operator > 1.2.7, db-instances > 1.3.0 will be only available in new repository.

Downloading old charts

Installing older version of charts is still possible. Check available versions by following command.

$ helm repo add kloeckneri-old https://kloeckner-i.github.io/db-operator/
$ helm search repo kloeckneri-old/ --versions

Quickstart

To install DB Operator with helm:

$ helm repo add kloeckneri https://kloeckner-i.github.io/charts/
$ helm install --name my-release kloeckneri/db-operator

To see more options of helm values, see chart repo

To see which version is working together check out our version matrix.

Development

Prerequisites

  • go 1.15+
  • docker
  • make
  • kubectl v1.14+ (< v1.21)
  • helm v3.0.2+
  • k3d

To have kubernetes environment locally, you need to install k3d.

makefile help

addexamples           add examples via kubectl create -f examples/
build                 build db-operator docker image
controller-gen        Download controller-gen locally if necessary.
generate              generate supporting code for custom resource types
help                  show this help
k3d_image             rebuild the docker images and upload into your k3d cluster
k3d_install           install k3d cluster locally
k3d_setup             install k3d and import image to your k3d cluster
k3s_mac_deploy        build image and import image to local lima k8s
k3s_mac_image         import built image to local lima k8s
k3s_mac_lima_create   create local k8s using lima
k3s_mac_lima_start    start local lima k8s
lint                  lint go code
manifests             generate custom resource definitions
test                  run go unit test
vet                   go vet to find issues

Developing locally

After code changes

rebuild CRD manifests

$ make manifests

rebuild local docker image

$ make build

Run local kubernetes

$ make k3d_setup

or

$ make k3s_mac_lima_create

Import local docker image

$ make k3d_build

or

$ make k3s_mac_image

Deploy

helm repo add kloeckneri https://kloeckner-i.github.io/charts
helm repo update
helm upgrade my-release kloeckneri/db-operator --set image.repository=my-db-operator --set image.tag=1.0.0-dev --set image.pullPolicy=IfNotPresent --install

Run unit test locally

$ make test

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The DB Operator creates databases and make them available in the cluster via Custom Resource.

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