Solve the 15 most common Kubernetes mistakes

Here is the list of bad practices that we will examine:

1. Using containers with the latest tag in Kubernetes deployments

2. Baking the configuration inside container images

3. Coupling applications with Kubernetes features/services for no reason

4. Mixing application deployment with infrastructure deployment (e.g. having Terraform deploying apps with the Helm provider)

5. Performing ad-hoc deployments with kubectl edit/patch by hand

6. Using Kubectl as a debugging tool

7. Misunderstanding Kubernetes network concepts

8. Using permanent staging environments instead of dynamic environments

9. Mixing production and non-production clusters

10. Deploying without memory and CPU limits

11. Misusing health probes

12. Not using Helm (and not understanding what Helm brings to the table)

13. Not having deployment metrics to understand what the application is doing

14. Not having a secret strategy/treating secrets in an ad-hoc manner

15. Attempting to go all in Kubernetes (even with databases and stateful loads)

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