Varnish is an open-source HTTP accelerator that can help improve the performance of web applications by caching frequently requested content. In a Kubernetes environment, setting up a Varnish cache cluster can help improve the scalability and availability of your web applications. In this article, we’ll walk through the steps to create a Varnish cache cluster in Kubernetes.
Prerequisites Before you begin, you’ll need the following:
- A Kubernetes cluster
- kubectl installed and configured to work with your cluster
- A Varnish Docker image. You can use the official Varnish image from Docker Hub or build your own.
Step 1: Create a ConfigMap for Varnish Configuration To configure Varnish, we’ll create a ConfigMap that contains the Varnish configuration file. Here’s an example of a Varnish configuration file:
vcl 4.0;
backend default {
.host = "example.com";
.port = "80";
}
sub vcl_recv {
if (req.url ~ "^/admin") {
return (pass);
}
}
sub vcl_backend_response {
if (beresp.status == 503) {
return (retry);
}
}
sub vcl_deliver {
unset resp.http.X-Powered-By;
}
Save this configuration file to a file named varnish.vcl.
Next, create the ConfigMap using the kubectl create configmap command:
$ kubectl create configmap varnish-config --from-file=varnish.vcl
Step 2: Create a Deployment for Varnish Next, create a Deployment that runs the Varnish container. Here’s an example Deployment YAML file:
apiVersion: apps/v1
kind: Deployment
metadata:
name: varnish
labels:
app: varnish
spec:
replicas: 3
selector:
matchLabels:
app: varnish
template:
metadata:
labels:
app: varnish
spec:
containers:
- name: varnish
image: varnish:latest
ports:
- containerPort: 80
volumeMounts:
- name: varnish-config
mountPath: /etc/varnish
volumes:
- name: varnish-config
configMap:
name: varnish-config
Save this file to a file named varnish-deployment.yaml.
This Deployment YAML file specifies that we want to run three replicas of the Varnish container, and that we want to mount the varnish-config ConfigMap as a volume at the /etc/varnish path inside the container.
Create the Deployment using the kubectl apply command:
$ kubectl apply -f varnish-deployment.yaml
Step 3: Create a Service for Varnish Next, create a Service that exposes the Varnish Deployment within the Kubernetes cluster. Here’s an example Service YAML file:
apiVersion: v1
kind: Service
metadata:
name: varnish
labels:
app: varnish
spec:
selector:
app: varnish
ports:
- name: http
port: 80
targetPort: 80
Save this file to a file named varnish-service.yaml.
This Service YAML file specifies that we want to expose the Varnish Deployment on port 80 within the Kubernetes cluster.
Create the Service using the kubectl apply command:
$ kubectl apply -f varnish-service.yaml
Step 4: Test the Varnish Cache From a pod inside the namespace curl varnish.
$ curl varnish:80
And that’s it! You have a working Varnish setup. Thank you all for reading my article.
Notes:
This setup will provide a stale cache because cache invalidation will happen only in a single pod. To get that fixed, you can create a proxy that would send BAN or PURGE requests to all Varnish pods. Proxy should track all Varnish endpoints using:
kubectl get endpoints <varnish-service>