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

Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them.

You can use Kubernetes annotations to attach arbitrary non-identifying metadata to objects. Clients such as tools and libraries can retrieve this metadata. Attaching metadata to objects You can use either labels or annotations to attach metadata to Kubernetes objects. Labels can be used to select objects and to find collections of objects that satisfy certain conditions. In contrast, annotations are not used to identify and select objects. The metadata in an annotation can be small or large, structured or unstructured, and can include characters not permitted by labels.

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 guides you through configuring Node overprovisioning in your Kubernetes cluster. Node overprovisioning is a strategy that proactively reserves a portion of your cluster's compute resources. This reservation helps reduce the time required to schedule new pods during scaling events, enhancing your cluster's responsiveness to sudden spikes in traffic or workload demands. By maintaining some unused capacity, you ensure that resources are immediately available when new pods are created, preventing them from entering a pending state while the cluster scales up.

This page explains how to upgrade a Kubernetes cluster created with kubeadm from version 1.32.x to version 1.33.x, and from version 1.33.x to 1.33.y (where y > x). Skipping MINOR versions when upgrading is unsupported. For more details, please visit Version Skew Policy. To see information about upgrading clusters created using older versions of kubeadm, please refer to following pages instead: Upgrading a kubeadm cluster from 1.31 to 1.32 Upgrading a kubeadm cluster from 1.

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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:

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