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

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

FEATURE STATE: Kubernetes v1.33 [beta] (enabled by default: true) This page explains how to change the CPU and memory resource requests and limits assigned to a container without recreating the Pod. Traditionally, changing a Pod's resource requirements necessitated deleting the existing Pod and creating a replacement, often managed by a workload controller. In-place Pod Resize allows changing the CPU/memory allocation of container(s) within a running Pod while potentially avoiding application disruption.

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

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.33 client can communicate with v1.32, v1.33, and v1.34 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on macOS The following methods exist for installing kubectl on macOS: Install kubectl on macOS Install kubectl binary with curl on macOS Install with Homebrew on macOS Install with Macports on macOS Verify kubectl configuration Optional kubectl configurations and plugins Enable shell autocompletion Install kubectl convert plugin Install kubectl binary with curl on macOS Download the latest release:

FEATURE STATE: Kubernetes v1.18 [stable] This page shows how to use the runAsUserName setting for Pods and containers that will run on Windows nodes. This is roughly equivalent of the Linux-specific runAsUser setting, allowing you to run applications in a container as a different username than the default. Before you begin You need to have a Kubernetes cluster and the kubectl command-line tool must be configured to communicate with your cluster.