FEATURE STATE: Kubernetes v1.19 [stable] Seccomp stands for secure computing mode and has been a feature of the Linux kernel since version 2.6.12. It can be used to sandbox the privileges of a process, restricting the calls it is able to make from userspace into the kernel. Kubernetes lets you automatically apply seccomp profiles loaded onto a node to your Pods and containers. Identifying the privileges required for your workloads can be difficult.

Objectives Learn about application Deployments. Deploy your first app on Kubernetes with kubectl. Kubernetes Deployments A Deployment is responsible for creating and updating instances of your application. Note:This tutorial uses a container that requires the AMD64 architecture. If you are using minikube on a computer with a different CPU architecture, you could try using minikube with a driver that can emulate AMD64. For example, the Docker Desktop driver can do this.

This page assumes that you understand how to contribute to new content and review others' work, and are ready to learn about more ways to contribute. You need to use the Git command line client and other tools for some of these tasks. Propose improvements SIG Docs members can propose improvements. After you've been contributing to the Kubernetes documentation for a while, you may have ideas for improving the Style Guide , the Content Guide, the toolchain used to build the documentation, the website style, the processes for reviewing and merging pull requests, or other aspects of the documentation.

Case studies highlight how organizations are using Kubernetes to solve real-world problems. The Kubernetes marketing team and members of the CNCF collaborate with you on all case studies. Case studies require extensive review before they're approved. Submit a case study Have a look at the source for the existing case studies. Refer to the case study guidelines and submit your request as outlined in the guidelines.

If you notice an issue with Kubernetes documentation or have an idea for new content, then open an issue. All you need is a GitHub account and a web browser. In most cases, new work on Kubernetes documentation begins with an issue in GitHub. Kubernetes contributors then review, categorize and tag issues as needed. Next, you or another member of the Kubernetes community open a pull request with changes to resolve the issue.

This page shows how to update the Kubernetes API reference documentation. The Kubernetes API reference documentation is built from the Kubernetes OpenAPI spec using the kubernetes-sigs/reference-docs generation code. If you find bugs in the generated documentation, you need to fix them upstream. If you need only to regenerate the reference documentation from the OpenAPI spec, continue reading this page. Before you begin Requirements: You need a machine that is running Linux or macOS.

Resource Types ImageReview ImageReview ImageReview checks if the set of images in a pod are allowed. FieldDescription apiVersionstringimagepolicy.k8s.io/v1alpha1 kindstringImageReview metadata meta/v1.ObjectMeta Standard object's metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata Refer to the Kubernetes API documentation for the fields of the metadata field. spec [Required] ImageReviewSpec Spec holds information about the pod being evaluated status ImageReviewStatus Status is filled in by the backend and indicates whether the pod should be allowed. ImageReviewContainerSpec Appears in:

API Priority and Fairness controls the behavior of the Kubernetes API server in an overload situation. You can find more information about it in the API Priority and Fairness documentation. Diagnostics Every HTTP response from an API server with the priority and fairness feature enabled has two extra headers: X-Kubernetes-PF-FlowSchema-UID and X-Kubernetes-PF-PriorityLevel-UID, noting the flow schema that matched the request and the priority level to which it was assigned, respectively.

Synopsis Specify compute resource requirements (CPU, memory) for any resource that defines a pod template. If a pod is successfully scheduled, it is guaranteed the amount of resource requested, but may burst up to its specified limits. For each compute resource, if a limit is specified and a request is omitted, the request will default to the limit. Possible resources include (case insensitive): Use "kubectl api-resources" for a complete list of supported resources.

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