Overview A kubelet's HTTPS endpoint exposes APIs which give access to data of varying sensitivity, and allow you to perform operations with varying levels of power on the node and within containers. This document describes how to authenticate and authorize access to the kubelet's HTTPS endpoint. Kubelet authentication By default, requests to the kubelet's HTTPS endpoint that are not rejected by other configured authentication methods are treated as anonymous requests, and given a username of system:anonymous and a group of system:unauthenticated.

To report a security issue, please follow the Kubernetes security disclosure process. Work on Kubernetes code and public issues are tracked using GitHub Issues. Official list of known CVEs (security vulnerabilities) that have been announced by the Security Response Committee CVE-related GitHub issues Security-related announcements are sent to the kubernetes-security-announce@googlegroups.com mailing list.

Synopsis The Kubernetes API server validates and configures data for the api objects which include pods, services, replicationcontrollers, and others. The API Server services REST operations and provides the frontend to the cluster's shared state through which all other components interact. kube-apiserver [flags] Options --admission-control-config-file string File with admission control configuration. --advertise-address string The IP address on which to advertise the apiserver to members of the cluster. This address must be reachable by the rest of the cluster.

Resource Types Preference Preference Preference stores elements of KubeRC configuration file FieldDescription apiVersionstringkubectl.config.k8s.io/v1alpha1 kindstringPreference overrides [Required] []CommandDefaults overrides allows changing default flag values of commands. This is especially useful, when user doesn't want to explicitly set flags each time. aliases [Required] []AliasOverride aliases allow defining command aliases for existing kubectl commands, with optional default flag values. If the alias name collides with a built-in command, built-in command always takes precedence. Flag overrides defined in the overrides section do NOT apply to aliases for the same command.

Kubernetes is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. The open source project is hosted by the Cloud Native Computing Foundation.

Garbage collection is a collective term for the various mechanisms Kubernetes uses to clean up cluster resources. This allows the clean up of resources like the following: Terminated pods Completed Jobs Objects without owner references Unused containers and container images Dynamically provisioned PersistentVolumes with a StorageClass reclaim policy of Delete Stale or expired CertificateSigningRequests (CSRs) Nodes deleted in the following scenarios: On a cloud when the cluster uses a cloud controller manager On-premises when the cluster uses an addon similar to a cloud controller manager Node Lease objects Owners and dependents Many objects in Kubernetes link to each other through owner references.

On Linux, control groups constrain resources that are allocated to processes. The kubelet and the underlying container runtime need to interface with cgroups to enforce resource management for pods and containers which includes cpu/memory requests and limits for containerized workloads. There are two versions of cgroups in Linux: cgroup v1 and cgroup v2. cgroup v2 is the new generation of the cgroup API. What is cgroup v2? FEATURE STATE: Kubernetes v1.

The CRI is a plugin interface which enables the kubelet to use a wide variety of container runtimes, without having a need to recompile the cluster components. You need a working container runtime on each Node in your cluster, so that the kubelet can launch Pods and their containers. The Container Runtime Interface (CRI) is the main protocol for the communication between the kubelet and Container Runtime. The Kubernetes Container Runtime Interface (CRI) defines the main gRPC protocol for the communication between the node components kubelet and container runtime.

With autoscaling, you can automatically update your workloads in one way or another. This allows your cluster to react to changes in resource demand more elastically and efficiently.

If you want to control traffic flow at the IP address or port level (OSI layer 3 or 4), NetworkPolicies allow you to specify rules for traffic flow within your cluster, and also between Pods and the outside world. Your cluster must use a network plugin that supports NetworkPolicy enforcement.