If there's one thing that Kubernetes makes easy, it's creating resources – pods, deployments, volumes – before long you'll have tons of them lying around. Eventually, you'll want to tear some of them down, to free up CPU, disk, and RAM for your next wild experiment. This happens to us in our research clusters, and we've picked up a few tricks: all the time kubectl -f mad-science.yml delete If you've been dutifully recording your resource definitions in a YAML file, and just kept -ing it, you're in luck! The command also understands the flag, and will every resource defined. kubectl apply kubectl delete -f remove → kubectl apply -f shield.yml
# ... time passes ...

→ kubectl delete -f shield.yml
# clean a whistle! as This also works if you keep your resources in their own files, inside of a single directory that you apply and delete: kubectl apply -f experiment /
kubectl -f experiment / -42.d delete -42.d Another trick we've gotten a ton of value out of is using namespaces. If you put each and every experiment, or logical group of resources together under a unique namespace, you can use Kubernetes resource dependency system to your advantage: kubectl ns quantum-crypto-coin delete All namespaces resources get deleted when you delete the owning namespace, which is a pretty handy way of tearing down things like pods, services, namespaces, etc. If you're not clear what is and is not namespaced, you can run the command to find out: api-resources kubectl api- --namespaced
kubectl api- --namespaced= resources resources false Namespaces bring more value to the table than just cleanup, but being able to wipe an experiment or work-in-progress with minimal effort is a definite boon. Also seen here .

Kubernetes Explained Simply: Cleaning Up After Yourself [Part 10]

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