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DevOps Use Case: Performing Redis maintenance in Kubernetes
Jul 23, 2018, by Karolis Rusenas
Nowadays it’s easy to run pretty much anything in Kubernetes clusters. But what about debugging these services? What if you need to quickly access a service that is normally not exposed to the internet or your intranet and is only accessible from within the cluster? Your service is like:
In this short article, I will demonstrate how to connect to a running Redis instance with an excellent and powerful Redis Commander GUI.
- Deploy Webhook Relay ingress controller
- Deploy Redis Commander
- Access Redis Commander through Webhook Relay tunnel & debug your Redis node
- Kubernetes, you can either use an existing cluster that you have or use Minikube or Docker for Mac.
- Webhook Relay account, sign up here
- Webhook Relay CLI
Let’s deploy Redis (skip if you already have it running), from the cloned repository deploy it:
kubectl apply -f redis.yaml
It will create:
- Redis deployment
- Service that will make Redis accessible within the cluster
Now, install our tunnel based ingress controller into your cluster:
relay ingress init
- Creates a namespace
- Create an authentication secret for the ingress controller to use your account
- Deploy an actual ingress controller
You can check whether it’s running by:
$ kubectl get pods -n webrelay-ingress
redis-commander.yaml in your favorite code editor (mine is VSCode :) and edit several details.
If you are on a free tier, unfortunately, you won’t be able to choose a subdomain for your tunnel so you will need to create one first. Also, if you have chosen some different name for your Redis service, then update
REDIS_HOSTS environment variable.
To create a tunnel, run:
$ relay tunnel create --group webrelay-ingress hello-ingress
2p4ptkh9vutgm8tqavigja.webrelay.io into the last, ingress section and to replace
[REPLACE THIS WITH YOUR TUNNEL NAME]
Once you have finished editing, create it:
kubectl apply -f redis-commander.yaml
It should now be accessible from your browser:
Cool, yeah? Good luck with your other experiments!
To wrap up, the same strategy can be applied to other services like Prometheus or Grafana. You can create tunnels only when you need them, for example, while Grafana can always be connected, you would only want to have a look at Prometheus when you are not sure if service discovery is missing something or want to use raw queries.