apiVersion: apache.org/v1alpha1 kind: Tomcat metadata: name: example-app spec: replicaCount: 2
This guide outlines helm chart support in the Operator SDK and walks Operator
authors through an example of building and running an Nginx Operator with the
operator-sdk
CLI tool that uses an existing helm chart.
The Operator Framework is an open source toolkit to manage Kubernetes native applications, called Operators, in an effective, automated, and scalable way. This framework includes the Operator SDK, which assists developers in bootstrapping and building an Operator based on their expertise without requiring knowledge of Kubernetes API complexities.
One of the Operator SDK’s options for generating an Operator project includes leveraging an existing helm chart to deploy Kubernetes resources as a unified application, without having to write any Go code. Such helm-based Operators are designed to excel at stateless applications that require very little logic when rolled out, because changes should be applied to the Kubernetes objects that are generated as part of the chart. This may sound limiting, but can be sufficient for a surprising amount of use-cases as shown by the proliferation of helm charts built by the Kubernetes community.
The main function of an Operator is to read from a custom object that represents
your application instance and have its desired state match what is running. In
the case of a helm-based Operator, the object’s spec field is a list of
configuration options that are typically described in helm’s values.yaml
file.
Instead of setting these values with flags using the helm CLI (for example, helm install -f values.yaml
),
you can express them within a Custom Resource (CR), which, as a native
Kubernetes object, enables the benefits of RBAC applied to it and an audit
trail.
For an example of a simple CR called Tomcat
:
apiVersion: apache.org/v1alpha1 kind: Tomcat metadata: name: example-app spec: replicaCount: 2
The replicaCount
value, 2
in this case, is propagated into the chart’s
templates where following is used:
{{ .Values.replicaCount }}
After an Operator is built and deployed, you can deploy a new instance of an app
by creating a new instance of a CR, or list the different instances running in
all environments using the oc
command:
$ oc get Tomcats --all-namespaces
There is no requirement use the helm CLI or install Tiller; helm-based Operators import code from the helm project. All you have to do is have an instance of the Operator running and register the CR with a Custom Resource Definition (CRD). And because it obeys RBAC, you can more easily prevent production changes.
The Operator SDK has a CLI tool that assists developers in creating, building, and deploying a new Operator project. You can install the SDK CLI on your workstation so you are prepared to start authoring your own Operators.
You can download and install a pre-built release binary of the SDK CLI from the project on GitHub.
Go v1.13+
docker
v17.03+, podman
v1.2.0+, or buildah
v1.7+
OpenShift CLI (oc
) 4.4+ installed
Access to a cluster based on Kubernetes v1.12.0+
Access to a container registry
Set the release version variable:
RELEASE_VERSION=v0.15.0
Download the release binary.
For Linux:
$ curl -OJL https://github.com/operator-framework/operator-sdk/releases/download/${RELEASE_VERSION}/operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu
For macOS:
$ curl -OJL https://github.com/operator-framework/operator-sdk/releases/download/${RELEASE_VERSION}/operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin
Verify the downloaded release binary.
Download the provided ASC file.
For Linux:
$ curl -OJL https://github.com/operator-framework/operator-sdk/releases/download/${RELEASE_VERSION}/operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu.asc
For macOS:
$ curl -OJL https://github.com/operator-framework/operator-sdk/releases/download/${RELEASE_VERSION}/operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin.asc
Place the binary and corresponding ASC file into the same directory and run the following command to verify the binary:
For Linux:
$ gpg --verify operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu.asc
For macOS:
$ gpg --verify operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin.asc
If you do not have the maintainer’s public key on your workstation, you will get the following error:
$ gpg --verify operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin.asc $ gpg: assuming signed data in 'operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin' $ gpg: Signature made Fri Apr 5 20:03:22 2019 CEST $ gpg: using RSA key <key_id> (1) $ gpg: Can't check signature: No public key
1 | RSA key string. |
To download the key, run the following command, replacing <key_id>
with the RSA
key string provided in the output of the previous command:
$ gpg [--keyserver keys.gnupg.net] --recv-key "<key_id>" (1)
1 | If you do not have a key server configured, specify one with the
--keyserver option. |
Install the release binary in your PATH
:
For Linux:
$ chmod +x operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu $ sudo cp operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu /usr/local/bin/operator-sdk $ rm operator-sdk-${RELEASE_VERSION}-x86_64-linux-gnu
For macOS:
$ chmod +x operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin $ sudo cp operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin /usr/local/bin/operator-sdk $ rm operator-sdk-${RELEASE_VERSION}-x86_64-apple-darwin
Verify that the CLI tool was installed correctly:
$ operator-sdk version
You can install the SDK CLI using Homebrew.
docker
v17.03+, podman
v1.2.0+, or buildah
v1.7+
OpenShift CLI (oc
) 4.4+ installed
Access to a cluster based on Kubernetes v1.12.0+
Access to a container registry
Install the SDK CLI using the brew
command:
$ brew install operator-sdk
Verify that the CLI tool was installed correctly:
$ operator-sdk version
You can obtain the Operator SDK source code to compile and install the SDK CLI.
Clone the operator-sdk
repository:
$ mkdir -p $GOPATH/src/github.com/operator-framework $ cd $GOPATH/src/github.com/operator-framework $ git clone https://github.com/operator-framework/operator-sdk $ cd operator-sdk
Check out the desired release branch:
$ git checkout master
Compile and install the SDK CLI:
$ make dep $ make install
This installs the CLI binary operator-sdk
at $GOPATH/bin.
Verify that the CLI tool was installed correctly:
$ operator-sdk version
This procedure walks through an example of building a simple Nginx Operator powered by a helm chart using tools and libraries provided by the Operator SDK.
It is best practice to build a new Operator for each chart. This can allow for
more native-behaving Kubernetes APIs (for example, |
Operator SDK CLI installed on the development workstation
Access to a Kubernetes-based cluster v1.11.3+ (for example OpenShift Container Platform 4.4)
using an account with cluster-admin
permissions
OpenShift CLI (oc
) v4.1+ installed
Create a new Operator project. A namespace-scoped Operator watches and manages resources in a single namespace. Namespace-scoped Operators are preferred because of their flexibility. They enable decoupled upgrades, namespace isolation for failures and monitoring, and differing API definitions.
To create a new helm-based, namespace-scoped nginx-operator
project, use the
following command:
$ operator-sdk new nginx-operator \ --api-version=example.com/v1alpha1 \ --kind=Nginx \ --type=helm $ cd nginx-operator
This creates the nginx-operator
project specifically for watching the Nginx
resource with APIVersion example.com/v1apha1
and Kind Nginx
.
Customize the Operator logic.
For this example, the nginx-operator
executes the following reconciliation
logic for each Nginx
Custom Resource (CR):
Create a Nginx Deployment if it does not exist.
Create a Nginx Service if it does not exist.
Create a Nginx Ingress if it is enabled and does not exist.
Ensure that the Deployment, Service, and optional Ingress match the desired configuration (for example, replica count, image, service type) as specified by the Nginx CR.
By default, the nginx-operator
watches Nginx
resource events as shown in the
watches.yaml
file and executes helm releases using the specified chart:
- version: v1alpha1
group: example.com
kind: Nginx
chart: /opt/helm/helm-charts/nginx
Review the Nginx helm chart.
When a helm Operator project is created, the Operator SDK creates an example helm chart that contains a set of templates for a simple Nginx release.
For this example, templates are available for Deployment, Service, and Ingress
resources, along with a NOTES.txt
template, which helm chart developers use to
convey helpful information about a release.
If you are not already familiar with helm Charts, take a moment to review the helm Chart developer documentation.
Understand the Nginx CR spec.
helm uses a concept called
values
to provide customizations to a helm chart’s defaults, which are defined in the
helm chart’s values.yaml
file.
Override these defaults by setting the desired values in the CR spec. You can use the number of replicas as an example:
First, inspect the helm-charts/nginx/values.yaml
file to find that the chart
has a value called replicaCount
and it is set to 1
by default. To have 2
Nginx instances in your deployment, your CR spec must contain replicaCount: 2
.
Update the deploy/crds/example.com_v1alpha1_nginx_cr.yaml
file to look like the
following:
apiVersion: example.com/v1alpha1
kind: Nginx
metadata:
name: example-nginx
spec:
replicaCount: 2
Similarly, the default service port is set to 80
. To instead use 8080
,
update the deploy/crds/example.com_v1alpha1_nginx_cr.yaml
file again by adding the
service port override:
apiVersion: example.com/v1alpha1
kind: Nginx
metadata:
name: example-nginx
spec:
replicaCount: 2
service:
port: 8080
The helm Operator applies the entire spec as if it was the contents of a values
file, just like the helm install -f ./overrides.yaml
command works.
Deploy the CRD.
Before running the Operator, Kubernetes needs to know about the new custom resource definition (CRD) the operator will be watching. Deploy the following CRD:
$ oc create -f deploy/crds/example_v1alpha1_nginx_crd.yaml
Build and run the Operator.
There are two ways to build and run the Operator:
As a Pod inside a Kubernetes cluster.
As a Go program outside the cluster using the operator-sdk up
command.
Choose one of the following methods:
Run as a Pod inside a Kubernetes cluster. This is the preferred method for production use.
Build the nginx-operator
image and push it to a registry:
$ operator-sdk build quay.io/example/nginx-operator:v0.0.1 $ podman push quay.io/example/nginx-operator:v0.0.1
Deployment manifests are generated in the deploy/operator.yaml
file. The
deployment image in this file needs to be modified from the placeholder
REPLACE_IMAGE
to the previous built image. To do this, run:
$ sed -i 's|REPLACE_IMAGE|quay.io/example/nginx-operator:v0.0.1|g' deploy/operator.yaml
Deploy the nginx-operator
:
$ oc create -f deploy/service_account.yaml $ oc create -f deploy/role.yaml $ oc create -f deploy/role_binding.yaml $ oc create -f deploy/operator.yaml
Verify that the nginx-operator
is up and running:
$ oc get deployment NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE nginx-operator 1 1 1 1 1m
Run outside the cluster. This method is preferred during the development cycle to speed up deployment and testing.
It is important that the chart path referenced in the watches.yaml
file exists
on your machine. By default, the watches.yaml
file is scaffolded to work with
an Operator image built with the operator-sdk build
command. When developing
and testing your operator with the operator-sdk run --local
command, the SDK
looks in your local file system for this path.
Create a symlink at this location to point to your helm chart’s path:
$ sudo mkdir -p /opt/helm/helm-charts $ sudo ln -s $PWD/helm-charts/nginx /opt/helm/helm-charts/nginx
To run the Operator locally with the default Kubernetes configuration file
present at $HOME/.kube/config
:
$ operator-sdk run --local
To run the Operator locally with a provided Kubernetes configuration file:
$ operator-sdk run --local --kubeconfig=<path_to_config>
Deploy the Nginx
CR.
Apply the Nginx
CR that you modified earlier:
$ oc apply -f deploy/crds/example.com_v1alpha1_nginx_cr.yaml
Ensure that the nginx-operator
creates the Deployment for the CR:
$ oc get deployment NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE example-nginx-b9phnoz9spckcrua7ihrbkrt1 2 2 2 2 1m
Check the pods to confirm two replicas were created:
$ oc get pods NAME READY STATUS RESTARTS AGE example-nginx-b9phnoz9spckcrua7ihrbkrt1-f8f9c875d-fjcr9 1/1 Running 0 1m example-nginx-b9phnoz9spckcrua7ihrbkrt1-f8f9c875d-ljbzl 1/1 Running 0 1m
Check that the Service port is set to 8080
:
$ oc get service NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE example-nginx-b9phnoz9spckcrua7ihrbkrt1 ClusterIP 10.96.26.3 <none> 8080/TCP 1m
Update the replicaCount
and remove the port.
Change the spec.replicaCount
field from 2
to 3
, remove the spec.service
field, and apply the change:
$ cat deploy/crds/example.com_v1alpha1_nginx_cr.yaml apiVersion: "example.com/v1alpha1" kind: "Nginx" metadata: name: "example-nginx" spec: replicaCount: 3 $ oc apply -f deploy/crds/example.com_v1alpha1_nginx_cr.yaml
Confirm that the Operator changes the Deployment size:
$ oc get deployment NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE example-nginx-b9phnoz9spckcrua7ihrbkrt1 3 3 3 3 1m
Check that the Service port is set to the default 80
:
$ oc get service NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE example-nginx-b9phnoz9spckcrua7ihrbkrt1 ClusterIP 10.96.26.3 <none> 80/TCP 1m
Clean up the resources:
$ oc delete -f deploy/crds/example.com_v1alpha1_nginx_cr.yaml $ oc delete -f deploy/operator.yaml $ oc delete -f deploy/role_binding.yaml $ oc delete -f deploy/role.yaml $ oc delete -f deploy/service_account.yaml $ oc delete -f deploy/crds/example_v1alpha1_nginx_crd.yaml
See Appendices to learn about the project directory structures created by the Operator SDK.