Make your HTTP (or HTTPS) network service available using a protocol-aware configuration mechanism, that understands web concepts like URIs, hostnames, paths, and more. The Ingress concept lets you map traffic to different backends based on rules you define via the Kubernetes API.

You've deployed your application and exposed it via a Service. Now what? Kubernetes provides a number of tools to help you manage your application deployment, including scaling and updating. Organizing resource configurations Many applications require multiple resources to be created, such as a Deployment along with a Service. Management of multiple resources can be simplified by grouping them together in the same file (separated by --- in YAML). For example:

A container image represents binary data that encapsulates an application and all its software dependencies. Container images are executable software bundles that can run standalone and that make very well-defined assumptions about their runtime environment. You typically create a container image of your application and push it to a registry before referring to it in a Pod. This page provides an outline of the container image concept. Note:If you are looking for the container images for a Kubernetes release (such as v1.

Jobs represent one-off tasks that run to completion and then stop.

A Deployment manages a set of Pods to run an application workload, usually one that doesn't maintain state.

Overview Package v1beta4 defines the v1beta4 version of the kubeadm configuration file format. This version improves on the v1beta3 format by fixing some minor issues and adding a few new fields. A list of changes since v1beta3: v1.33: Add an EtcdUpgrade field to UpgradeConfiguration.plan that can be used to control whether the etcd upgrade plan should be displayed. v1.31: Support custom environment variables in control plane components under ClusterConfiguration. Use apiServer.

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