Synopsis Create a deployment with the specified name. kubectl create deployment NAME --image=image -- [COMMAND] [args...] Examples # Create a deployment named my-dep that runs the busybox image kubectl create deployment my-dep --image=busybox # Create a deployment with a command kubectl create deployment my-dep --image=busybox -- date # Create a deployment named my-dep that runs the nginx image with 3 replicas kubectl create deployment my-dep --image=nginx --replicas=3 # Create a deployment named my-dep that runs the busybox image and expose port 5701 kubectl create deployment my-dep --image=busybox --port=5701 # Create a deployment named my-dep that runs multiple containers kubectl create deployment my-dep --image=busybox:latest --image=ubuntu:latest --image=nginx Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template.

Production-Grade Container Orchestration

Note: This section links to third party projects that provide functionality required by Kubernetes. The Kubernetes project authors aren't responsible for these projects, which are listed alphabetically. To add a project to this list, read the content guide before submitting a change. More information. Add-ons extend the functionality of Kubernetes. This page lists some of the available add-ons and links to their respective installation instructions. The list does not try to be exhaustive.

This page shows how to enable or disable an API version from your cluster's control plane. Specific API versions can be turned on or off by passing --runtime-config=api/<version> as a command line argument to the API server. The values for this argument are a comma-separated list of API versions. Later values override earlier values. The runtime-config command line argument also supports 2 special keys: api/all, representing all known APIs api/legacy, representing only legacy APIs.

Restrict how many Pods you can create within a namespace.

FEATURE STATE: Kubernetes v1.11 [beta] The cloud-controller-manager is a Kubernetes control plane component that embeds cloud-specific control logic. The cloud controller manager lets you link your cluster into your cloud provider's API, and separates out the components that interact with that cloud platform from components that only interact with your cluster. By decoupling the interoperability logic between Kubernetes and the underlying cloud infrastructure, the cloud-controller-manager component enables cloud providers to release features at a different pace compared to the main Kubernetes project.

In this example, you will run a Kubernetes Job with multiple parallel worker processes. In this example, as each pod is created, it picks up one unit of work from a task queue, completes it, deletes it from the queue, and exits. Here is an overview of the steps in this example: Start a message queue service. In this example, you use RabbitMQ, but you could use another one. In practice you would set up a message queue service once and reuse it for many jobs.

Objectives Perform a rolling update using kubectl. Updating an application Rolling updates allow Deployments' update to take place with zero downtime by incrementally updating Pods instances with new ones. Users expect applications to be available all the time, and developers are expected to deploy new versions of them several times a day. In Kubernetes this is done with rolling updates. A rolling update allows a Deployment update to take place with zero downtime.

In this example, you will run a Job in Indexed completion mode configured such that the pods created by the Job can communicate with each other using pod hostnames rather than pod IP addresses. Pods within a Job might need to communicate among themselves. The user workload running in each pod could query the Kubernetes API server to learn the IPs of the other Pods, but it's much simpler to rely on Kubernetes' built-in DNS resolution.

Details of the metric data that Kubernetes components export.