Optimize resource recommendation controller

[pendoragon]

Why is this needed?

Katalyst has recently added a resource recommendation controller which can work with VPA to help user allocate proper resource request/limit for pods. However, there're still gaps for delivering resource recommendation in a release:

• Now we build the Controller using the Kubernetes Controller-Runtime Project. while Katalyst has its own controller framework(e.g. vpa controller). We expect to use this framework to refactor the controller section
• It lacks deployment artifacts
• It lacks relevant documentations

What abilities do you need?

1. Familiar with golang programming, have the ability to independently analyze and solve problems, and proficient in using search engines.
2. Familiar with or willingness to learn the k8s controller-manager mechanism, it would be even better if you are familiar with or have used The Kubernetes controller-runtime Project.
3. Familiar with or willingness to learn the usage and code of the Katalyst controller framework(e.g. vpa controller).
4. Have some experience in developing and using helm chart
5. Have ability to write documents
6. Can reasonably arrange time to participate in the design and development of open source projects, and maintain a passion for learning.

What would you like to be added?

Code

• Refactor resource recommendation controller code so that it aligns with other katalyst controllers
• Add helm chart for resource recommendation

Documents

• Add a quick start to gokatalyst.io