kubernetes-client
[feat]: Integrate Kubernetes Metrics API into the Python Client
What is the feature and why do you need it:
The feature is the integration of the Kubernetes Metrics API into the Python client. This addition will allow users to retrieve metrics data directly through the client, enabling more streamlined monitoring and auto-scaling workflows. Currently, the client lacks native support for querying metrics data, making it necessary to rely on external tools or libraries.
Describe the solution you'd like to see:
I envision the addition of a new module or extension to the existing client specifically dedicated to handling metrics data retrieval. This module should include methods for querying various types of metrics, such as pod metrics, node metrics, and custom metrics. It should also be designed to seamlessly integrate with the existing client structure, providing a consistent user experience.
The solution should ensure compatibility with different versions of Kubernetes to support users on various clusters. Additionally, comprehensive documentation and examples should be provided to guide users in effectively utilizing the new metrics functionalities.
Overall, the goal is to empower users with the ability to access and utilize metrics data directly through the Python client, eliminating the need for external dependencies and enhancing the client's capabilities in monitoring and scaling applications.
@roycaihw: This request has been marked as needing help from a contributor.
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In response to this:
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@Parvezkhan0 Could you elaborate what Kubernetes Metrics API is?
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I believe the metrics=server is the component responsible for exposing metrics for the HPA controller or the kubectl top command.
