1/23/2024 0 Comments Kubernetes annotations vs labels![]() Specifying Namespace with kubectl Command.How to Create K8s Deployment in Specific Namespace?.How to Share a Cluster with Namespaces?.How to Create a Namespace in Kubernetes?.Documentation and Naming Conventions for Objects.Add Annotations and Labels to Namespaces.Define RBAC for Namespace Access Control. ![]() How do Pods Communicate across Different Namespaces in Kubernetes?.Resource Control: Fair Allocation, Preventing Resource Hogging.Permissions: Fine-Grained Control, Strengthened Security.Organization: Safeguarding Production, Streamlining Application Life Cycles.Isolation: Embracing Collaboration, Minimizing Interference.Kubernetes tags also integrate perfectly with Dynatrace filters. You can also leverage Kubernetes tags to set up fine-grained alerting profiles. This allows you to easily find and inspect the monitoring results of related processes running in your Kubernetes or OpenShift environment. Kubernetes-based tags are searchable via Dynatrace search. Kubernetes pod UID: Unique ID of the related pod.Kubernetes namespace: Namespace to which the containerized process is assigned.Kubernetes full pod name: Full name of the pod the container belongs to.Kubernetes container: Name of the container that runs the process.Kubernetes base pod name: User-provided name of the pod the container belongs to.Such properties and annotations can be used when specifying automated rule-based tags.Īdditionally Dynatrace detects the following properties that can be used for automated rule-based tags and property-based process group detection rules. Automatic detection of Kubernetes properties and annotationsĭynatrace detects Kubernetes properties and annotations. While you can also use tags (manual, automated, and via API) to apply ownership information to Kubernetes objects, this approach has its limitations-read more in Best practices for entity ownership. You can assign more than one team to a Kubernetes object, provided that the keys in the key-value pairs are unique. See also Best practices for entity ownership. We recommend defining ownership for the Deployment and all other objects for which you want ownership coverage. See Assign ownership teams to monitored entities for more on the correct format and examples of using labels to provide ownership information in key-value pairs in the deployment specification file. We recommend providing ownership information via Kubernetes labels to ensure that Kubernetes objects have adequate ownership coverage, which is especially important for short-lived entities like Pods. In Dynatrace, entity ownership can be specified for different Kubernetes objects such as Deployments, Pods, Services, or namespaces. These tags and rules can be changed and adapted any time and will apply almost immediately without any change to the monitored environment or applications. This enables you to use automated tagging rules, based on existing or custom metadata, to define your filter sets for charts, alerting, and more. ![]() Dynatrace automatically detects and retrieves all Kubernetes and OpenShift annotations for pods that are monitored with a OneAgent code module. ![]() For Kubernetes-based applications, you can simply use Kubernetes annotations. We recommend that you define additional metadata at the deployed system. This enables you to automatically organize and filter all your monitored Kubernetes/OpenShift application components. Dynatrace automatically derives tags from your Kubernetes/OpenShift labels. ![]()
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