Overview of Linux kernel security modules and constraints that you can use to harden your Pods and containers.

This page outlines the differences in how resources are managed between Linux and Windows. On Linux nodes, cgroups are used as a pod boundary for resource control. Containers are created within that boundary for network, process and file system isolation. The Linux cgroup APIs can be used to gather CPU, I/O, and memory use statistics. In contrast, Windows uses a job object per container with a system namespace filter to contain all processes in a container and provide logical isolation from the host.

Use kubectl patch to update Kubernetes API objects in place. Do a strategic merge patch or a JSON merge patch.

This page shows how a Pod can use environment variables to expose information about itself to containers running in the Pod, using the downward API. You can use environment variables to expose Pod fields, container fields, or both. In Kubernetes, there are two ways to expose Pod and container fields to a running container: Environment variables, as explained in this task Volume files Together, these two ways of exposing Pod and container fields are called the downward API.

This page shows how to define dependent environment variables for a container in a Kubernetes Pod. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

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.

Synopsis The Kubernetes controller manager is a daemon that embeds the core control loops shipped with Kubernetes. In applications of robotics and automation, a control loop is a non-terminating loop that regulates the state of the system. In Kubernetes, a controller is a control loop that watches the shared state of the cluster through the apiserver and makes changes attempting to move the current state towards the desired state. Examples of controllers that ship with Kubernetes today are the replication controller, endpoints controller, namespace controller, and serviceaccounts controller.

Resource Types Event EventList Policy PolicyList Event Appears in: EventList Event captures all the information that can be included in an API audit log. FieldDescription apiVersionstringaudit.k8s.io/v1 kindstringEvent level [Required] Level AuditLevel at which event was generated auditID [Required] k8s.io/apimachinery/pkg/types.UID Unique audit ID, generated for each request. stage [Required] Stage Stage of the request handling when this event instance was generated. requestURI [Required] string RequestURI is the request URI as sent by the client to a server.

Scheduling Scheduler Configuration Scheduling Policies Feedback Was this page helpful? Yes No Thanks for the feedback...

This page shows how to create a Kubernetes Service object that exposes an external IP address. Before you begin Install kubectl. Use a cloud provider like Google Kubernetes Engine or Amazon Web Services to create a Kubernetes cluster. This tutorial creates an external load balancer, which requires a cloud provider. Configure kubectl to communicate with your Kubernetes API server. For instructions, see the documentation for your cloud provider. Objectives Run five instances of a Hello World application.