If you are running a business, it is important to use certain software or applications to smoothen out processes. In this modern corporate world, these applications have become an increasingly important tool to collaborate with employees, communicate with clients, store data, and manage information. Now, one of the best solutions to implement “production ready” applications is the Kubernetes platform. With it, you can ensure security, configurability, maintainability, and upgradability, which allow for easy operation.
However, deploying Kubernetes workloads in production can be quite tricky. Without proper knowledge of using such platform, you will encounter certain problems. To minimise issues and get the most out of such a setup, here are tips that you should pick up:
1. Implement a role-based access control to limit access to the application program interface (API) server.
An enterprise Kubernetes or any similar platform has an API server as its core. From it, you can obtain details about the current state of the deployed workloads on the cluster. However, setting full access to the server could compromise the cluster. To reduce the risk, you should also limit such access by implementing a role-based access control policy.
2. Use non-root containers and limit their operations to increase the level of security.
When deploying containerized applications, it is important to limit the number of allowed operations to the minimum. You can do this by launching containers with a random user that is different from the root.
If the applications you are using allow non-root containers, you can use full read-only file systems that do not have underlying base operating systems.
3. Refrain from using rolling tags.
When setting up a Kubernetes platform, you will encounter the use of container images, which you would execute with commands containing the word “latest”. This command is an example of one containing a rolling tag. These tags point to different images over time.
Now, you should remember that the use of these tags can cause a broken cluster. If you want a more maintainable and controllable cluster, it is best to use immutable images.