Anyone who has used Kubernets may have its real idea about how it works. When it comes to create a cluster, it is an easy part, but when this comes to run this well without any alerts, these can make things tricky. Here are 10 things that experienced engineers tend to actually do, not just talk about. And if you're still building up your base knowledge, a DevOps Online Course will get you a lot further than just reading blog posts like this one.
Through the article we have tried to help you understand the best Kubernets Practices every DevOps Engineer need to understand. Learning them can help you in future. So let’s begin discussing this in detail:
Don't dump every single app into the default namespace. Well it turns them in useless product if not used and nobody would be able to solve the same. Divide the things among the teams, project as well as by environment. In this way if someone make mistake in one namespace this won’t spoil other things.
People skip this constantly, and it always comes back to bite them. If Kubernetes doesn't know how much CPU or memory a container is supposed to use, one pod having a bad day can eat up everything on a node and drag other apps down with it. Set a request for what it normally needs and a limit for the max it's allowed. Takes two minutes and saves you a lot of pain later.
RBAC exists for a reason - use it. Not every engineer needs the ability to delete deployments or peek at secrets. Build roles around what people's jobs actually require, and go back and review those permissions every so often. Teams shift, people move projects, and old access just sits there forgotten until it becomes a problem.
These get ignored more than they should. A liveness probe tells Kubernetes Online Course to restart a stuck container. A readiness probe tells it not to send traffic to a pod that isn't ready yet. Skip these and users end up hitting broken pods before you even know anything's wrong.
Heavy images take longer to pull, eat up storage, and usually carry more security issues than they need to. Go with lightweight base images - Alpine is a common choice - instead of full OS images. Run a vulnerability scanner on them too, something like Trivy works fine, and try not to run containers as root unless there's really no other option. This is the kind of thing a solid DevOps Certification Course spends real time on, since it affects both speed and security.
You can't fix problems you can't see. Prometheus and Grafana cover the basics - CPU, memory, pod restarts, that sort of thing. Add a logging tool on top, Loki or the ELK stack both work, so you can actually dig through logs when something goes wrong. Figuring out your monitoring setup mid-outage is a bad time to learn it.
You can't sit there manually adding pods or nodes every time traffic goes up. That's not a real plan. The Horizontal Pod Autoscaler adds or removes pods based on how much they're actually being used. The Cluster Autoscaler does the same thing, but for nodes. Together, they keep your app running fine when traffic spikes and save you money when things are quiet. If you work with EKS, or you're thinking about an AWS DevOps Course, this is something worth practicing with your own hands, not just reading about.
Keys, passwords, tokens - none of that belongs directly in your YAML files or baked into an image. Use Kubernetes Secrets, and if things get more serious, pair it with Vault or AWS Secrets Manager. Rotate your credentials on a schedule too. Not the most exciting task on your list, but way less painful than dealing with a leaked key someone found in a public repo.
Clusters go down. Nodes crash. Someone deletes a namespace they had no business touching. Back up you etch data, persistent volumes, and configs regularly using something like Valero. And don't just set backups and walk away - test the recovery process once in a while so you're not finding out it's broken during an actual emergency.
None of these are hard on their own. The difference between a shaky cluster and one people actually trust in production comes down to doing all of them, consistently, without cutting corners. If you are looking to build these skills in the right way, then you need to apply in a proper DevOps Online Course where you can practical experience. You need to understand that it is necessary as this can’t be replaced by reading. If you are looking for cloud based roles you need to learn advanced things that can help turn this knowledge into something you can actually use on the job.