prometheus grafana openshift

prometheus grafana openshift

OpenShift Container Platform Cluster Monitoring ships with the following alerting rules configured by default. This prevents monitoring components from deploying pods on node1 unless a toleration is configured for that taint. Arc Kubernetes () Prometheus Why Roblox Picked VictoriaMetrics for Observability Data Overhaul Installing Grafana operator - IBM Conclusion. Description: Job at Instance has a corrupted write-ahead log (WAL). Chapter 9. Using Prometheus and Grafana to monitor the router network See the PagerDuty documentation for Alertmanager to learn how to retrieve the service_key. The following example configures basic authentication: Substitute and accordingly. The monitoring stack imposes additional resource requirements. Description: Reloading Alertmanagers configuration has failed for Namespace/Pod. The following sample shows basic authentication configured with remoteWriteAuth for the name values and user and password for the key values. You can disable the Grafana deployment, causing the associated resources to be deleted from the cluster. See computing resources recommendations for details. For more information about the OpenShift Container Platform Cluster Monitoring Operator, see the Cluster Monitoring Operator GitHub project. Please remove overrides before continuing. If you want to resize a PV for a monitoring component such as Prometheus, Thanos Ruler, or Alertmanager, you can update the appropriate config map in which the component is configured. This script creates and configures the OpenShift resources needed to deploy Prometheus, Alertmanager, and Grafana in your OpenShift project. It also configures two dashboards that provide metrics for the router network. They are alerting about the same event with different thresholds, with different severity, or both. The Monitoring stack is installed with OpenShift Container Platform by default. Etcd cluster "Job": 99th percentile fync durations are X_s on etcd instance _Instance. A local Alertmanager that routes alerts from Prometheus instances is enabled by default in the openshift-monitoring project of the OpenShift Container Platform monitoring stack. For more information, see Dead mans switch PagerDuty below. Apply the credentials file to the cluster: Now that you have configured authentication, visit the Targets page of the web interface again. This might lead to previously collected metrics being lost if you have not yet followed the steps in the "Configuring persistent storage" section. The monitoring stack imposes additional resource requirements. Using the external labels feature of Prometheus, you can attach custom labels to all time series and alerts leaving Prometheus. To configure additional Alertmanagers for routing alerts from core OpenShift Container Platform projects: Edit the cluster-monitoring-config config map in the openshift-monitoring project: Add an additionalAlertmanagerConfigs: section under data/config.yaml/prometheusK8s. For more details on the alerting rules, see the configuration file. Beyond those explicit configuration options, it is possible to inject additional configuration into the stack. Enable persistent storage of Prometheus' time-series data. This is ideal if you require your metrics or alerting data to be guarded from data loss. Defines the Prometheus component and the subsequent lines define its configuration. This can impact Prometheus performance and can consume a lot of disk space. The kube-state-metrics exporter agent converts Kubernetes objects to metrics consumable by Prometheus. Add the configuration details for additional Alertmanagers in this section: For , substitute authentication and other configuration details for additional Alertmanager instances. Etcd cluster "Job": X proposal failures within the last hour on etcd instance Instance. The targets monitored as part of the cluster monitoring are: kubelets (the kubelet embeds cAdvisor for per container metrics). Add an endpoint URL and authentication credentials in this section: For endpoint_authentication_credentials substitute the credentials for the endpoint. . . However this is unsupported, as configuration paradigms might change across Prometheus releases, and such cases can only be handled gracefully if all configuration possibilities are controlled. A Red Hat subscription provides unlimited access to our knowledgebase . This prevents monitoring components from deploying pods on node1 unless a toleration is configured for that taint. KubeStateMetrics has disappeared from Prometheus target discovery. Job instance Instance will exhaust its file descriptors soon. Description: X% of Job targets are down. Choose prometheus-operator under A specific namespace on the clusterand subscribe. For production environments, it is highly recommended to configure persistent storage. Defines a minimum pod resource request of 2 GiB of memory for the Prometheus container. Accessing Prometheus, Alertmanager, and Grafana The use of many unbound attributes in labels can result in an exponential increase in the number of time series created. How to deploy Prometheus on Openshift 4 and configure it to - Medium This impacts the reliability features built into Operators and prevents updates from being received. Instead of statically-provisioned storage, you can use dynamically-provisioned storage. What should I do to fix this problem? Defines a minimum resource request of 200 millicores for the Prometheus container. The pods for the component restarts automatically when you apply the log-level change. This section explains what configuration is supported, shows how to configure the monitoring stack, and demonstrates several common configuration scenarios. Prometheus has disappeared from Prometheus target discovery. This procedure is a supported exception to the preceding statement. You have created the user-workload-monitoring-config config map. KubeControllerManager has disappeared from Prometheus target discovery. Description: Prometheus Namespace/Pod isnt ingesting samples. You can prevent it from being installed. OpenShift Container Platform does not support resizing an existing persistent storage volume used by StatefulSet resources, even if the underlying StorageClass resource used supports persistent volume sizing. Update the PVC configuration for the monitoring component under data/config.yaml: The following example configures the PVC size to 100 gigabytes for the Prometheus instance that monitors user-defined projects: The following example sets the PVC size to 20 gigabytes for Thanos Ruler: Save the file to apply the changes. To configure Prometheus authentication against etcd: Copy the /etc/etcd/ca/ca.crt and /etc/etcd/ca/ca.key credentials files from the master node to the local machine: Create the openssl.cnf file with these contents: Generate the etcd.csr certificate signing request file: Put the credentials into format used by OpenShift Container Platform: This creates the etcd-cert-secret.yaml file. How Your Grafana Can Fetch Metrics From Red Hat Advanced Cluster The running monitoring processes in that project might also be restarted. CronJob Namespace/CronJob is taking more than 1h to complete. The following log levels can be applied to the relevant component in the cluster-monitoring-config and user-workload-monitoring-config ConfigMap objects: debug. The monitoring stack component for which you are setting a log level. Kubernetes API certificate is expiring in less than 1 day. Currently supported authentication methods are basic authentication (basicAuth) and client TLS (tlsConfig) authentication. This can cause collisions and load differences that cannot be accounted for, therefore the Prometheus setup can be unstable. ', Kubernetes API server client 'Job/Instance' is experiencing X errors / sec.'. Authentication is performed against the OpenShift Container Platform identity and uses the same credentials or means of authentication as is used elsewhere in OpenShift Container Platform. Confirm that the log-level has been applied by reviewing the deployment or pod configuration in the related project. It provides monitoring of cluster components and ships with a set of alerts to immediately notify the cluster administrator about any occurring problems and a set of Grafana dashboards. The monitoring stack (Prometheus, Alertmanager, Grafana) comes with your OpenShift Container Platform 4 cluster during installation. Grafana is a multi . Openshift-user-workload-monitoring: This is responsible for customer workload monitoring. Developers can also prevent the underlying cause by limiting the number of unbound attributes that they define for metrics. To configure additional routes for Alertmanager, you need to decode, modify, and then encode that secret. To modify the retention time for the Prometheus instance that monitors core OpenShift Container Platform projects: Add your retention time configuration under data/config.yaml: Substitute with a number directly followed by ms (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks), or y (years). The company selected VictoriaMetrics, a young San Francisco-based startup. Overview Revisions Reviews You will need to label your servers as follows: Master Servers: role=master Infrastructure Severs: role=infra Application/Node Servers: role=app Then you will need cAdvisor, kube-state-metrics and node-exporter to get all the info you need. Get your metrics into Prometheus quickly Modifying resources of the stack. You cannot access web UIs using unencrypted connections. Etcd cluster "Job": 99th percentile commit durations X_s on etcd instance _Instance. In addition to Prometheus and Alertmanager, OpenShift Container Platform Monitoring also includes a Grafana instance as well as pre-built dashboards for cluster monitoring troubleshooting. Custom Grafana dashboards for Red Hat OpenShift Container Platform 4 Disabling ownership via cluster version overrides prevents upgrades. The following example configures a PVC that claims local persistent storage for the Prometheus instance that monitors core OpenShift Container Platform components: In the above example, the storage class created by the Local Storage Operator is called local-storage. This. This also ensures that communication between the Alertmanager and the notification provider is working. To attach custom labels to all time series and alerts leaving the Prometheus instance that monitors core OpenShift Container Platform projects: Define a map of labels you want to add for every metric under data/config.yaml: Do not use prometheus or prometheus_replica as key names, because they are reserved and will be overwritten. The pods affected by the new configuration restart automatically. Build efficient Grafana dashboards from the built-in Prometheus of Ensure that the Project is set to prometheus-operator. Overcommited CPU resource requests on Pods, cannot tolerate node failure. openshift_cluster_monitoring_operator_node_selector. You can connect to Prometheus using Grafana to visualize your data. You must use a role that has read access to all namespaces, such as the cluster-monitoring-view cluster role. OpenShift Metrics | Grafana Labs In this example the file is called user-workload-monitoring-config.yaml: Configurations applied to the user-workload-monitoring-config ConfigMap object are not activated unless a cluster administrator has enabled monitoring for user-defined projects. The new component placement configuration is applied automatically. For example, a customer_id attribute is unbound because it has an infinite number of possible values. Setting externalLabels for prometheus in the user-workload-monitoring-config ConfigMap object will only configure external labels for metrics and not for any rules. See Recommended configurable storage technology. Make sure you have a persistent volume (PV) ready to be claimed by the persistent volume claim (PVC), one PV for each replica. The persistent volume claimed by PersistentVolumeClaim in namespace Namespace has X% free. Currently you cannot add custom alerting rules. You have enabled monitoring for user-defined projects. If you are configuring core OpenShift Container Platform monitoring components in the openshift-monitoring project: You have created the cluster-monitoring-config config map. Dedicate sufficient local persistent storage to ensure that the disk does not become full. This role provides access to viewing cluster monitoring UIs. If you are setting a log level for Alertmanager, Prometheus Operator, Prometheus, or Thanos Querier in the openshift-monitoring project: If you are setting a log level for Prometheus Operator, Prometheus, or Thanos Ruler in the openshift-user-workload-monitoring project: To set a log level for a component in the openshift-monitoring project: Add logLevel: for a component under data/config.yaml: To set a log level for a component in the openshift-user-workload-monitoring project: Save the file to apply the changes. Community resources. This does not apply if you enable dynamically provisioned storage. 0 Check memory status of every node in alerts for prometheus. Openshift Prometheus - How do I alert only when there are multiple cronjob failures. Every assigned key-value pair has a unique time series. The Alertmanager configuration is deployed as a secret resource in the openshift-monitoring project.

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