# Resource Management Overview Kubernetes typically abstracts the organization of workload details away from the user. However, it sometimes becomes necessary to guarantee resources like CPU, memory, and device locality optimizations needed for the nodes to operate at peak efficiency. Situations that require high-efficiency processing like data analytics, machine learning, scientific computing, financial services, and telecommunications can be adjusted by policies that better regulate the actions governing these elements. The two management policies that specifically address these demands are the Topology Manager and the CPU Manager. These management tools are part of the Kubelet agent that coordinates the components responsible for these optimizations. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.platform9.com/self-managed-cloud-platform/5.9/cluster-monitoring/resource-mgmt-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.