Node-pressure eviction is the process by which the kubelet proactively terminates pods to reclaim resources on nodes. FEATURE STATE: Kubernetes v1.31 [beta] (enabled by default: true) Note:The split image filesystem feature, which enables support for the containerfs filesystem, adds several new eviction signals, thresholds and metrics. To use containerfs, the Kubernetes release v1.32 requires the KubeletSeparateDiskGC feature gate to be enabled. Currently, only CRI-O (v1.29 or higher) offers the containerfs filesystem support.

The dockershim component of Kubernetes allows the use of Docker as a Kubernetes's container runtime. Kubernetes' built-in dockershim component was removed in release v1.24. This page explains how your cluster could be using Docker as a container runtime, provides details on the role that dockershim plays when in use, and shows steps you can take to check whether any workloads could be affected by dockershim removal. Finding if your app has a dependencies on Docker If you are using Docker for building your application containers, you can still run these containers on any container runtime.

FEATURE STATE: Kubernetes v1.14 [beta] kube-scheduler is the Kubernetes default scheduler. It is responsible for placement of Pods on Nodes in a cluster. Nodes in a cluster that meet the scheduling requirements of a Pod are called feasible Nodes for the Pod. The scheduler finds feasible Nodes for a Pod and then runs a set of functions to score the feasible Nodes, picking a Node with the highest score among the feasible ones to run the Pod.

FEATURE STATE: Kubernetes v1.27 [beta] System component traces record the latency of and relationships between operations in the cluster. Kubernetes components emit traces using the OpenTelemetry Protocol with the gRPC exporter and can be collected and routed to tracing backends using an OpenTelemetry Collector. Trace Collection Kubernetes components have built-in gRPC exporters for OTLP to export traces, either with an OpenTelemetry Collector, or without an OpenTelemetry Collector. For a complete guide to collecting traces and using the collector, see Getting Started with the OpenTelemetry Collector.

Set up Kubernetes tools on your computer.

This guide is to help users debug applications that are deployed into Kubernetes and not behaving correctly. This is not a guide for people who want to debug their cluster. For that you should check out this guide. Diagnosing the problem The first step in troubleshooting is triage. What is the problem? Is it your Pods, your Replication Controller or your Service? Debugging Pods Debugging Replication Controllers Debugging Services Debugging Pods The first step in debugging a Pod is taking a look at it.

Node Problem Detector is a daemon for monitoring and reporting about a node's health. You can run Node Problem Detector as a DaemonSet or as a standalone daemon. Node Problem Detector collects information about node problems from various daemons and reports these conditions to the API server as Node Conditions or as Events. To learn how to install and use Node Problem Detector, see Node Problem Detector project documentation.

Synopsis Create a priority class with the specified name, value, globalDefault and description. kubectl create priorityclass NAME --value=VALUE --global-default=BOOL [--dry-run=server|client|none] Examples # Create a priority class named high-priority kubectl create priorityclass high-priority --value=1000 --description="high priority" # Create a priority class named default-priority that is considered as the global default priority kubectl create priorityclass default-priority --value=1000 --global-default=true --description="default priority" # Create a priority class named high-priority that cannot preempt pods with lower priority kubectl create priorityclass high-priority --value=1000 --description="high priority" --preemption-policy="Never" 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.

Synopsis Request a service account token. kubectl create token SERVICE_ACCOUNT_NAME Examples # Request a token to authenticate to the kube-apiserver as the service account "myapp" in the current namespace kubectl create token myapp # Request a token for a service account in a custom namespace kubectl create token myapp --namespace myns # Request a token with a custom expiration kubectl create token myapp --duration 10m # Request a token with a custom audience kubectl create token myapp --audience https://example.

Package v1beta1 is the v1beta1 version of the API. Resource Types AuthenticationConfiguration AuthorizationConfiguration EgressSelectorConfiguration TracingConfiguration TracingConfiguration Appears in: KubeletConfiguration TracingConfiguration TracingConfiguration TracingConfiguration provides versioned configuration for OpenTelemetry tracing clients. FieldDescription endpoint string Endpoint of the collector this component will report traces to. The connection is insecure, and does not currently support TLS. Recommended is unset, and endpoint is the otlp grpc default, localhost:4317. samplingRatePerMillion int32 SamplingRatePerMillion is the number of samples to collect per million spans.