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DevOps & observability · #kubernetes
Feature state: Beta since Kubernetes v1.27 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 OpenTel
Started · 25 Feb 2021, 14:33 UTC
Feature state: Beta since Kubernetes v1.33; disabled by default More information about this feature To use this feature, you (or a cluster administrator) will need to enable the CoordinatedLeaderElection feature gate for all relevant components in your cluster. See Enable Or Disable Feature Gates fo
An overview of the key components that make up a Kubernetes cluster. This page provides a high-level overview of the essential components that make up a Kubernetes cluster. View source diagram: Components of Kubernetes The components of a Kubernetes cluster Core Components A Kubernetes cluster consi
Field selectors let you select Kubernetes objects based on the value of one or more resource fields. Here are some examples of field selector queries: metadata.name=my-service metadata.namespace!=default status.phase=Pending This kubectl command selects all Pods for which the value of the status.pha
A ConfigMap is an API object used to store non-confidential data in key-value pairs. Pods can consume ConfigMaps as environment variables, command-line arguments, or as configuration files in a volume . A ConfigMap allows you to decouple environment-specific configuration from your container images
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 P
Feature state: Beta since Kubernetes v1.11 Cloud infrastructure technologies let you run Kubernetes on public, private, and hybrid clouds. Kubernetes believes in automated, API-driven infrastructure without tight coupling between components. The cloud-controller-manager is a Kubernetes control plane
Feature state: Stable since Kubernetes v1.29 Controlling the behavior of the Kubernetes API server in an overload situation is a key task for cluster administrators. The kube-apiserver has some controls available (i.e. the --max-requests-inflight and --max-mutating-requests-inflight command-line fla
Application logs can help you understand what is happening inside your application. The logs are particularly useful for debugging problems and monitoring cluster activity. Most modern applications have some kind of logging mechanism. Likewise, container engines are designed to support logging. The