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

Your workload can discover Services within your cluster using DNS; this page explains how that works.

Storage capacity is limited and may vary depending on the node on which a pod runs: network-attached storage might not be accessible by all nodes, or storage is local to a node to begin with. FEATURE STATE: Kubernetes v1.24 [stable] This page describes how Kubernetes keeps track of storage capacity and how the scheduler uses that information to schedule Pods onto nodes that have access to enough storage capacity for the remaining missing volumes.

Kubernetes has various types of probes: Liveness probe Readiness probe Startup probe Liveness probe Liveness probes determine when to restart a container. For example, liveness probes could catch a deadlock when an application is running but unable to make progress. If a container fails its liveness probe repeatedly, the kubelet restarts the container. Liveness probes do not wait for readiness probes to succeed. If you want to wait before executing a liveness probe, you can either define initialDelaySeconds or use a startup probe.

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

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

This page shows how to assign a memory request and a memory limit to a Container. A Container is guaranteed to have as much memory as it requests, but is not allowed to use more memory than its limit. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.