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FastAPI framework, high performance, easy to learn, fast to code, ready for production

FEATURE STATE: Kubernetes v1.32 [stable] (enabled by default: true) The Kubernetes Memory Manager enables the feature of guaranteed memory (and hugepages) allocation for pods in the Guaranteed QoS class. The Memory Manager employs hint generation protocol to yield the most suitable NUMA affinity for a pod. The Memory Manager feeds the central manager (Topology Manager) with these affinity hints. Based on both the hints and Topology Manager policy, the pod is rejected or admitted to the node.

A security context defines privilege and access control settings for a Pod or Container. Security context settings include, but are not limited to: Discretionary Access Control: Permission to access an object, like a file, is based on user ID (UID) and group ID (GID). Security Enhanced Linux (SELinux): Objects are assigned security labels. Running as privileged or unprivileged. Linux Capabilities: Give a process some privileges, but not all the privileges of the root user.

FEATURE STATE: Kubernetes v1.34 [beta] (enabled by default: true) This page shows how to specify CPU and memory resources for a Pod at pod-level in addition to container-level resource specifications. A Kubernetes node allocates resources to a pod based on the pod's resource requests. These requests can be defined at the pod level or individually for containers within the pod. When both are present, the pod-level requests take precedence.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

You can constrain a Pod so that it is restricted to run on particular node(s), or to prefer to run on particular nodes. There are several ways to do this and the recommended approaches all use label selectors to facilitate the selection. Often, you do not need to set any such constraints; the scheduler will automatically do a reasonable placement (for example, spreading your Pods across nodes so as not place Pods on a node with insufficient free resources).

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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