warn. Additionally, you cannot create alerting rules for the openshift-* core OpenShift projects. You can check that the ServiceMonitor resource is running: The OpenShift Container Platform monitoring dashboard enables you to run Prometheus Query Language (PromQL) queries to examine metrics visualized on a plot. As a cluster administrator or as a user with view permissions for all projects, you can access metrics for all default OpenShift Container Platform and user-defined projects in the Metrics UI. The spec.overrides parameter can be added to the configuration for the CVO to allow administrators to provide a list of overrides to the behavior of the CVO for a component. You have access to the cluster as a user with the cluster-admin role. 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 Prometheus Adapter is also used by the oc adm top nodes and oc adm top pods commands. Run the following to list routes for the openshift-monitoring project: The monitoring routes are managed by the Cluster Monitoring Operator and they cannot be modified by the user. This can impact Prometheus performance and can consume a lot of disk space. Reviewing monitoring dashboards as a cluster administrator, 6.2. In this article, I will demonstrate how to monitor an Openshift cluster using Zabbix and Prometheus, that is, we will collect Prometheus metrics in the openshift List the pods in the openshift-user-workload-monitoring project: Obtain the logs from the prometheus-operator container in the prometheus-operator pod. The query outputs will appear in a pop-up box. Developers can also prevent the underlying cause by limiting the number of unbound attributes that they define for metrics. The Thanos Ruler is a rule evaluation engine for Prometheus that is deployed as a separate process. For example, to move monitoring components for core OpenShift Container Platform projects to specific nodes that are labeled nodename: controlplane1, nodename: worker1, nodename: worker2, and nodename: worker2, use: To move a component that monitors user-defined projects: Substitute accordingly and substitute : with the map of key-value pairs that specifies the destination nodes. Add configuration details for creating the service account, roles, and role bindings for prometheus-adapter: Add configuration details for the custom metrics for prometheus-adapter: Add configuration details for registering prometheus-adapter as an API service: Add configuration details for deploying prometheus-adapter: Verify that the prometheus-adapter pod in your user-defined project is in a Running state. Other OpenShift Container Platform framework components might be exposing metrics as well. In this example the file is called cluster-monitoring-config.yaml: Apply the configuration to create the ConfigMap object: To configure the components that monitor user-defined projects, you must create the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project. Configuring persistent storage", Collapse section "2.8. You can create and configure the config map before you first enable monitoring for user-defined projects, to prevent having to redeploy the pods often. Granting users permission to monitor user-defined projects, 3.2.1. For example, if you are running monitoring on the minimum recommended nodes, which is 2 cores with 8 GB of RAM, increase memory to 16 GB. Cluster administrators can use the following measures to control the impact of unbound metrics attributes in user-defined projects: Limiting scrape samples can help prevent the issues caused by adding many unbound attributes to labels. It can sometimes take a while for these components to redeploy. You have created the user-workload-monitoring-config ConfigMap object. Accessing metrics from outside the cluster for custom applications, 3.5. The OpenShift Container Platform 4 installation program provides only a low number of configuration options before installation. Queries that operate on large amounts of data might time out or overload the browser when drawing time series graphs. This functionality provides information about the state of a cluster and any user-defined workloads that you are monitoring. For example, enter johnsmith. It can sometimes take a while for these components to redeploy. Add the Slack channel or user name to send notifications to. Setting up metrics collection for user-defined projects", Collapse section "4.2. List routes for the openshift-user-workload-monitoring namespace: The output shows the URL for the Thanos Ruler UI: Navigate to the listed URL. The running monitoring processes in that project might also be restarted. Fill the file with the configuration for the alerting rules: When you create an alerting rule, a namespace label is enforced on it if a rule with the same name exists in another namespace. The metrics from the queries are visualized on the plot. Often, only a single key-value pair is used. The pods affected by the new configuration are restarted automatically and the new storage configuration is applied. Granting users permission to monitor user-defined projects", Expand section "4.2. Investigating why user-defined metrics are unavailable, 9.2. Check whether the cluster-monitoring-config ConfigMap object exists: Create the following YAML manifest. The page includes a graph that illustrates alert time series data. Make sure you have a persistent volume (PV) ready to be claimed by the persistent volume claim (PVC), one PV for each replica. After you have enabled monitoring your own services, deployed a service, and set up metrics collection for the service, you can access the metrics of the service as a developer or as a user with view permissions for the project. The user account that you are assigning the role to already exists. This returns the ten metrics that have the highest number of scrape samples: Investigate the number of unbound label values assigned to metrics with higher than expected scrape sample counts. In the Developer perspective, you can select from core OpenShift Container Platform and user-defined projects that you have access to in the Project: list. Granting users permission to monitor user-defined projects", Collapse section "3.2. This can impact Prometheus performance and can consume a lot of disk space. Configuration paradigms might change across Prometheus releases, and such cases can only be handled gracefully if all configuration possibilities are controlled. Custom Prometheus instances are not supported in OpenShift Container Platform. To edit a silence in the Administrator perspective: For the silence you want to modify, select the features, see https://access.redhat.com/support/offerings/techpreview/. Enabling monitoring for user-defined projects", Collapse section "3. You can list alerting rules in : To list the configuration of an alerting rule, run the following: As a cluster administrator, you can list alerting rules for core OpenShift Container Platform and user-defined projects together in a single view. November 18, 2022 | by Jose Gato Luis In this tutorial, we will experiment with some Prometheus configurations, trying to get better performance on the Red Hat Log in as a user that has the monitoring-rules-edit role for the namespace where you want to remove an alerting rule. Apply the configuration file to the cluster: It takes some time to create the alerting rule. OpenShift comes pre-installed with Prometheus Alertmanager and Grafana integrated into its monitoring stack. This procedure shows how to grant users permissions for monitoring their own services using the CLI. You can optimize alerting for your own projects by considering the following recommendations when creating alerting rules: Optimize alert routing. You can export custom application metrics for the horizontal pod autoscaler. The supported way of configuring OpenShift Container Platform Monitoring is by configuring it using the options described in this document. For example, to move monitoring components for core OpenShift Container Platform projects to specific nodes that are labeled nodename: controlplane1, nodename: worker1, nodename: worker2, and nodename: worker2, use: To move a component that monitors user-defined projects: Substitute accordingly and substitute : with the map of key-value pairs that specifies the destination nodes. The new configuration is applied automatically. For example: When you create an alerting rule, a project label is enforced on it if a rule with the same name exists in another project. Confirm that the log-level has been applied by reviewing the deployment or pod configuration in the related project. The limit is applied automatically. Please remove overrides before continuing. Follow the steps outlined in this procedure if you have created a ServiceMonitor resource but cannot see any corresponding metrics in the Metrics UI. To configure core OpenShift Container Platform monitoring components, you must create the cluster-monitoring-config ConfigMap object in the openshift-monitoring project. You can use the prometheus-adapter resource to expose custom application metrics for the horizontal pod autoscaler. Exposing custom application metrics for autoscaling", Collapse section "8. Keep your systems secure with Red Hat's specialized responses to security vulnerabilities. Troubleshooting monitoring issues", Red Hat JBoss Enterprise Application Platform, Red Hat Advanced Cluster Security for Kubernetes, Red Hat Advanced Cluster Management for Kubernetes, 1.1. If you set a sample limit, no further sample data is ingested for that target scrape after the limit is reached. The time at which an alert went into its current state is also shown. Setting log levels for monitoring components, 3. Monitoring in OpenShift is awesome. The following modifications are explicitly not supported: Creating additional ServiceMonitor, PodMonitor, and PrometheusRule objects in the openshift-* and kube-* projects. The provider is usually configured to notify an administrator when it stops receiving the watchdog alert. To obtain information about alerts in the Administrator perspective: Select the name of an alert to navigate to its Alert Details page. When you save your changes to the user-workload-monitoring-config ConfigMap object, some or all of the pods in the openshift-user-workload-monitoring project might be redeployed. The monitoring stack imposes additional resource requirements. The X-axis in the plot represents time and the Y-axis represents metrics values. The following example configures the alertmanagerMain component to tolerate the example taint: To assign tolerations to a component that monitors user-defined projects: For example, oc adm taint nodes node1 key1=value1:NoSchedule adds a taint to node1 with the key key1 and the value value1. Collapse section "1. The target cannot be scraped or is not available for the specified, A scrape sample threshold is reached or is exceeded for the specified. Prometheus sends alerts to Alertmanager for processing. If monitoring components remain in a Pending state after configuring the nodeSelector constraint, check the pod logs for errors relating to taints and tolerations. A great way to learn more is to go to the official OpenShift Container Platform documentation for configuring the Prometheus Cluster Monitoring stack. Additionally, it allows creating scraping targets for services or pods. It might take a short while for the pods to start: Cluster administrators can monitor all core OpenShift Container Platform and user-defined projects. If you want label values for firing alerts to be matched exactly before they are sent to the receiver: You can overwrite the default Alertmanager configuration by editing the alertmanager-main secret inside the openshift-monitoring project. Using attributes that are bound to a limited set of possible values reduces the number of potential key-value pair combinations. How much storage you need depends on the number of pods. This configuration creates an alerting rule named example-alert, which fires an alert when the version metric exposed by the sample service becomes 0. You can access monitoring data from outside the cluster with the thanos-querier route. The Thanos Querier aggregates and optionally deduplicates core OpenShift Container Platform metrics and metrics for user-defined projects under a single, multi-tenant interface. Consult the computing resources recommendations in Scaling the Cluster Monitoring Operator and verify that you have sufficient resources. Alertmanager is also responsible for sending the alerts to external notification systems. You can use the following measures when Prometheus consumes a lot of disk: Reduce the number of unique time series that are created by reducing the number of unbound attributes that are assigned to user-defined metrics. Dedicate sufficient local persistent storage to ensure that the disk does not become full. Therefore, custom Prometheus instances installed as a Prometheus custom resource (CR) managed by the OLM Prometheus Operator are not supported in OpenShift Container Platform. Running cluster monitoring with persistent storage means that your metrics are stored to a persistent volume (PV) and can survive a pod being restarted or recreated. Because Prometheus has two replicas and Alertmanager has three replicas, you need five PVs to support the entire monitoring stack. Go to the OpenShift Container Platform web console, switch to the Developer Perspective, then click Advanced Metrics. Developers cannot access the third-party UIs provided with OpenShift Container Platform monitoring that are for core platform components. The following example sets the retention time to 24 hours for the Prometheus instance that monitors core OpenShift Container Platform components: To modify the retention time for the Prometheus instance that monitors user-defined projects: The following example sets the retention time to 24 hours for the Prometheus instance that monitors user-defined projects: Save the file to apply the changes. A cluster administrator can instead use the Alertmanager UI or the Thanos Ruler. Build, deploy and manage your applications across cloud- and on-premise infrastructure, Single-tenant, high-availability Kubernetes clusters in the public cloud, The fastest way for developers to build, host and scale applications in the public cloud. Therefore, custom Prometheus instances that are installed as a Prometheus custom resource (CR) managed by the OLM Prometheus Operator are not supported in OpenShift Container Platform. Deploying user-defined workloads to openshift-*, and kube-* projects. Prometheus alert manager configuration in openshift. Alternatively, you can select Actions Expire Silence in the Silence Details page for a silence. For information on system requirements for persistent storage, see Prometheus database storage requirements. Alerts that provide non-critical warning notifications might instead be routed to a ticketing system for non-immediate review. Alternatively, you can select Actions Edit Silence in the Silence Details page for a silence. Consult the computing resources recommendations in, You have access to the cluster as a user with the, Dedicate sufficient local persistent storage to ensure that the disk does not become full. WebThe Prometheus Operator (PO) in the openshift-user-workload-monitoring project creates, configures, and manages Prometheus and Thanos Ruler instances in the same Check whether the cluster-monitoring-config ConfigMap object exists: Create the following YAML manifest. The following example checks the log level in the prometheus-operator deployment in the openshift-user-workload-monitoring project: Check that the pods for the component are running. Configures a twenty-four hour data retention period for the Prometheus instance that monitors user-defined projects. Log in as a cluster administrator or a user with the monitoring-edit role. OpenShift Container Platform 4.6 includes an optional enhancement to the monitoring stack that enables you to monitor services and pods in user-defined projects. In OpenShift Container Platform 4.6, Thanos Ruler provides rule and alerting evaluation for the monitoring of user-defined projects. To display outputs for all queries at a specific point in time, hold the mouse cursor on the plot at that point. See the respective sections for instructions. Often, only a single key-value pair is used. Monitoring Operators ensure that OpenShift Container Platform monitoring resources function as designed and tested. When changes are saved to the user-workload-monitoring-config ConfigMap object, the pods and other resources in the openshift-user-workload-monitoring project might be redeployed. When you save your changes to the cluster-monitoring-config ConfigMap object, some or all of the pods in the openshift-monitoring project might be redeployed. An explanation of CC-BY-SA is available at. Save the file to apply the changes. Alternatively, you can remove enableUserWorkload: true to disable monitoring for user-defined projects. If they are modified, the stack will reset them. You can configure alert receivers to ensure that you learn about important issues with your cluster. monitoring-rules-view allows reading PrometheusRule custom resources within the namespace. The Operator resets everything to the defined state by default and by design. Prometheus sends alerts to Alertmanager for processing. Listing alerting rules for all projects in a single view, 5.4.6. Configurable monitoring components. Monitoring for user-defined projects is then disabled automatically. Engage with our Red Hat Product Security team, access security updates, and ensure your environments are not exposed to any known security vulnerabilities. You can limit the number of samples that can be accepted per target scrape in user-defined projects. The former requires a Service object, while the latter does not, which allows Prometheus to directly scrape metrics from the metrics endpoint exposed by a pod. Modifying Alertmanager configurations by using the AlertmanagerConfig CRD in Prometheus Operator. To configure a PVC for a component that monitors core OpenShift Container Platform projects: Add your PVC configuration for the component under data/config.yaml: See the Kubernetes documentation on PersistentVolumeClaims for information on how to specify volumeClaimTemplate. As a developer, you must specify a project name when querying metrics. You can modify the retention time to change how soon the data is deleted. WebIn OpenShift Container Platform 4.6 you must remove any custom Prometheus instances before enabling monitoring for user-defined projects. WebPrometheus is an open-source systems monitoring and alerting toolkit. The running monitoring processes in that project might also be restarted. The monitoring component that you are applying a log level to. OpenShift Container Platform delivers monitoring best practices out of the box. This prevents monitoring components from deploying pods on node1 unless a toleration is configured for that taint. These projects are reserved for Red Hat provided components and they should not be used for user-defined workloads. You can create alerts that notify you when: The target cannot be scraped or is not available for the specified for duration, A scrape sample threshold is reached or is exceeded for the specified for duration. might not be functionally complete. Reviewing monitoring dashboards as a developer, 7.1. The new configuration is applied automatically. Do not use other configurations, as they are unsupported. Alertmanager repeatedly sends watchdog alert notifications to configured notification providers. Prometheus cannot use raw block volumes. The monitoring stack imposes additional resource requirements. You can list all available metrics for a service by running a curl query against http:///metrics. This reduces latency for alerting rules by bypassing Thanos Ruler when it is not required. The Alerting UI is accessible through the Administrator perspective and the Developer perspective in the OpenShift Container Platform web console. For example, oc adm taint nodes node1 key1=value1:NoSchedule adds a taint to node1 with the key key1 and the value value1. For example, to add metadata about the region and environment to all time series and alerts related to user-defined projects, use: Save the file to apply the changes. To zoom into the plot and change the time range, do one of the following: In OpenShift Container Platform 4.6, the Alerting UI enables you to manage alerts, silences, and alerting rules. Setting the spec.overrides[].unmanaged parameter to true for a component blocks cluster upgrades and alerts the administrator after a CVO override has been set: Setting a CVO override puts the entire cluster in an unsupported state and prevents the monitoring stack from being reconciled to its intended state. Exposing custom application metrics for autoscaling", Expand section "9. Example dashboard in the Administrator perspective. You have installed the OpenShift CLI (oc). Those metrics cannot be included in an alerting rule if you deploy the rule directly to the Prometheus instance in the openshift-user-workload-monitoring project. The Prometheus Operator creates, configures, and manages Prometheus clusters running on To expire a silence in the Administrator perspective: For the silence you want to modify, select the This assigns to user johnsmith the permissions for setting up metrics collection and creating alerting rules in the ns1 namespace. For example, to add metadata about the region and environment to all time series and alerts related to user-defined projects, use: Save the file to apply the changes. Monitoring your own services is a Technology Preview feature only. Enabling symptom based monitoring by using the Probe custom resource definition (CRD) in Prometheus Operator. Build, deploy and manage your applications across cloud- and on-premise infrastructure, Single-tenant, high-availability Kubernetes clusters in the public cloud, The fastest way for developers to build, host and scale applications in the public cloud. You can enable monitoring your own services by setting the techPreviewUserWorkload/enabled flag in the cluster monitoring config map. Monitoring your own services is enabled automatically. To change the Alertmanager configuration from the OpenShift Container Platform web console: OpenShift Container Platform 4.6 provides a comprehensive set of monitoring dashboards that help you understand the state of cluster components and user-defined workloads. 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. Default access to the third-party monitoring interfaces might be removed in future OpenShift Container Platform releases. Setting up metrics collection for user-defined projects, 4.2.2. thanos-ruler-user-workload-1 3/3 Running 0 3h, ghcr.io/rhobs/prometheus-example-app:0.3.0, NAME READY STATUS RESTARTS AGE This is ideal if you require your metrics or alerting data to be guarded from data loss. However, the rule cannot include metrics from ns2. WebNavigate to the OpenShift Container Platform Web console and authenticate. An attribute that has an unlimited number of potential values is called an unbound attribute. The Platform source is selected by default. About OpenShift Container Platform monitoring, 1.2.3. Modifying resources of the stack. In this guide, we will configure OpenShift Prometheus to send email alerts. You can configure the log level for Prometheus Operator, Prometheus, and Thanos Ruler. Some alerting rules intentionally have identical names. The following example ConfigMap object configures a persistent volume claim (PVC) for Prometheus. Prometheus is a time-series database and a rule evaluation engine for metrics. Monitoring for user-defined projects is then enabled automatically. You must have access to the cluster as a user with the cluster-admin role to enable monitoring for user-defined projects in OpenShift Container Platform. Defines the Prometheus component and the subsequent lines define its configuration. Extract a token to connect to Prometheus: Query the metrics of your own services in the command line. When monitoring is enabled for user-defined projects, you can monitor: The OpenShift Container Platform 4 installation program provides only a low number of configuration options before installation. Configuring most OpenShift Container Platform framework components, including the cluster monitoring stack, happens post-installation. OpenShift Container Platform also provides access to third-party interfaces, such as Prometheus, Alertmanager, and Grafana. Many of the monitoring components are deployed by using multiple pods across different nodes in the cluster to maintain high availability. If you need to use a TLS configuration when scraping metrics, you must use ServiceMonitor resource. The nodes can have additional labels as well. This service exposes the custom version metric. Reported issues must be reproduced after removing any overrides for support to proceed. Cluster administrators, when using the Administrator Perspective, have access to all cluster metrics and to custom service metrics from all projects. This way, you do not need to use an additional monitoring solution. If only one label is specified, ensure that enough nodes contain that label to distribute all of the pods for the component across separate nodes. You can move any of the monitoring stack components to specific nodes. Managing alerting rules", Collapse section "5.5. Enabling monitoring for user-defined projects, 3.1. Assign the user-workload-monitoring-config-edit role to a user in the openshift-user-workload-monitoring project: Learn how to query Prometheus statistics from the command line when monitoring your own services. Reviewing monitoring dashboards", Expand section "7. Controlling the impact of unbound metrics attributes in user-defined projects", Expand section "3. In this example, it is called, To create a custom query, add your Prometheus Query Language (PromQL) query to the, To disable a query from being run, select. Specifies the user-defined project where the alerting rule will be deployed. By default, the query table shows an expanded view that lists every metric and its current value. In the Namespace field, select the user-defined project where you want to grant the access. While overriding CVO control for an Operator can be helpful during debugging, this is unsupported and the cluster administrator assumes full control of the individual component configurations and upgrades. Choose a query from the Select Query list, or run a custom PromQL query by selecting Show PromQL. Add SMTP configuration details, including the address to send notifications from, the smarthost and port number used for sending emails, the hostname of the SMTP server, and authentication details. Running cluster monitoring with persistent storage means that your metrics are stored to a persistent volume (PV) and can survive a pod being restarted or recreated. By default, firing alerts with labels that match all of the selectors will be sent to the receiver. Attaching additional labels to your time series and alerts, 2.11. The OpenShift Container Platform monitoring stack is based on the Prometheus open source project and its wider ecosystem. Backward compatibility for metrics, recording rules, or alerting rules is not guaranteed. Select Run Queries to run the queries that you have created. When changes are saved to a monitoring config map, the pods and other resources in the related project might be redeployed. Learn about remote health reporting and, if necessary, opt out of it. When persistent storage is in use for Prometheus, Prometheus memory usage doubles during cluster upgrade and for several hours after upgrade is complete. 1. The PVs should be available from the Local Storage Operator. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. The alerting rule fires an alert when the version metric exposed by the sample service becomes 0. Example dashboard in the Developer perspective. Granting users permission to configure monitoring for user-defined projects, 3.4. Create a YAML file with alerts that inform you when the targets are down and when the enforced sample limit is approaching. In OpenShift Container Platform 4.6, you can use the tlsConfig property for a ServiceMonitor resource to specify the TLS configuration to use when scraping metrics from an endpoint. Integrated Metrics, Alerting, and Dashboard UIs are provided in the OpenShift Container Platform web console. These filters are the same as those described for the Administrator perspective. To move a component that monitors core OpenShift Container Platform projects: Specify the nodeSelector constraint for the component under data/config.yaml: Substitute accordingly and substitute : with the map of key-value pairs that specifies a group of destination nodes. Default OpenShift Container Platform metrics for user-defined projects provide information about CPU and memory usage, bandwidth statistics, and packet rate information. Prometheus is a free tool that can be installed on various platforms, including Linux, macOS, and Windows. Configuration paradigms might change across Prometheus releases, and such cases can only be handled gracefully if all configuration possibilities are controlled. You can grant users permissions to monitor their own projects, by using the OpenShift CLI (oc). By default, only Platform alerting rules are displayed. You can select to minimize the expanded view for a query. They can only query metrics from a single project. List routes for the openshift-monitoring namespace: The output shows the URL for the Thanos Querier UI: Navigate to the listed URL. For instance, you can expose a route to the prometheus-example-app example application and then run the following to view all of its available metrics: You can create a ServiceMonitor resource to scrape metrics from a service endpoint in a user-defined project. OpenShift Container Platform monitoring ships with a set of default alerting rules. Backward compatibility for metrics, recording rules, or alerting rules is not guaranteed. This impacts the reliability features built into Operators and prevents updates from being received. To hide a specific metric, go to the query table and click the colored square near the metric name. Many of the monitoring components are deployed by using multiple pods across different nodes in the cluster to maintain high availability. Configuring the monitoring stack", Collapse section "2. When changes are saved to the user-workload-monitoring-config ConfigMap object, the pods and other resources in the openshift-user-workload-monitoring project might be redeployed. If you set a sample limit, no further sample data is ingested for that target scrape after the limit is reached. The pods affected by the new configuration are restarted automatically. You can create alerts that notify you when: Create a YAML file with alerts that inform you when the targets are down and when the enforced sample limit is approaching. You can remove alerting rules for user-defined projects. 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. Privileges are granted by assigning one of the following monitoring roles: You can also grant users permission to configure the components that are responsible for monitoring user-defined projects: This section provides details on how to assign these roles by using the OpenShift Container Platform web console or the CLI. When changes are saved to a monitoring config map, the pods and other resources in the related project might be redeployed. You can configure OpenShift Container Platform to send alerts to the following receiver types: Routing alerts to receivers enables you to send timely notifications to the appropriate teams when failures occur. The OpenShift Container Platform monitoring stack ensures its resources are always in the state it expects them to be. It will take some time to create the alerting rules. Check whether the user-workload-monitoring-config ConfigMap object exists: If the user-workload-monitoring-config ConfigMap object does not exist: Create the following YAML manifest. You can access metrics for a user-defined project as a developer or as a user with view permissions for the project. When changes are saved to the cluster-monitoring-config ConfigMap object, the pods and other resources in the openshift-monitoring project might be redeployed. Defines a minimum resource request of 200 millicores for the Prometheus container. This white paper presents a You can now monitor your own projects in OpenShift Container Platform without the need for an additional monitoring solution. Setting externalLabels for prometheus in the user-workload-monitoring-config ConfigMap object will only configure external labels for metrics and not for any rules. Visually select the time range by clicking and dragging on the plot horizontally. You can limit the number of samples that can be accepted per target scrape in user-defined projects. The number of potential key-value pairs corresponds to the number of possible values for an attribute. You have deployed a service in a user-defined project. The following example sets the retention time to 24 hours for the Prometheus instance that monitors core OpenShift Container Platform components: To modify the retention time for the Prometheus instance that monitors user-defined projects: The following example sets the retention time to 24 hours for the Prometheus instance that monitors user-defined projects: Save the file to apply the changes. Because of the high IO demands, it is advantageous to use local storage. Following this, you will need to use port-forwarding to access them. Determining why Prometheus is consuming a lot of disk space, enable monitoring for user-defined projects, Granting users permission to monitor user-defined projects, Enabling monitoring for user-defined projects, Preparing to configure the monitoring stack, Understanding how to update labels on nodes, Placing pods on specific nodes using node selectors, OpenShift Container Platform documentation, Recommended configurable storage technology, Kubernetes documentation on PersistentVolumeClaims, Creating a user-defined workload monitoring config map, Determining why Prometheus is consuming a lot of disk space, Granting users permission to configure monitoring for user-defined projects, Querying metrics for user-defined projects as a developer, the PagerDuty Prometheus Integration Guide, Monitoring project and application metrics using the Developer perspective, Exposing custom application metrics for autoscaling, https://access.redhat.com/support/offerings/techpreview/, Kubernetes documentation on horizontal pod autoscaler, Setting a scrape sample limit for user-defined projects, http://creativecommons.org/licenses/by-sa/3.0/. Optional: The page URL now contains the queries you ran. 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. Disabling ownership via cluster version overrides prevents upgrades. Add an alerting rule configuration to the YAML file. Creating alerting rules for user-defined projects, 5.4.3. Deploy the service that you want to monitor. You can view, edit, and expire existing silences. Accessing the Alerting UI in the Administrator and Developer perspectives, 5.2. Config maps configure the Cluster Monitoring Operator (CMO), which in turn configures the components of the stack. In OpenShift Container Platform 4.6 you must remove any custom Prometheus instances before enabling monitoring for user-defined projects. Check whether the user-workload-monitoring-config ConfigMap object exists: If the user-workload-monitoring-config ConfigMap object does not exist: Create the following YAML manifest. Components for monitoring user-defined projects, 1.2.4. Log in to the web console as a cluster administrator. In the Administrator perspective, you can view dashboards relating to core OpenShift Container Platform cluster components. Save the file to apply the changes to the ConfigMap object. You can create alerting rules for user-defined projects. In the web console, navigate to User Management Role Bindings Create Binding. You can grant users permissions to monitor their own projects, by using the OpenShift Container Platform web console. You can move any of the monitoring stack components to specific nodes. For example, an alerting rule for ns1 can have metrics from ns1 and cluster metrics, such as the CPU and memory metrics. The pods for the component restarts automatically when you apply the log-level change. You can do this using a ServiceMonitor custom resource definition (CRD) that specifies how a service should be monitored, or a PodMonitor CRD that specifies how a pod should be monitored. A cluster administrator can configure the monitoring stack with the supported configurations. The following example configures the alertmanagerMain component to tolerate the example taint: To assign tolerations to a component that monitors user-defined projects: For example, oc adm taint nodes node1 key1=value1:NoSchedule adds a taint to node1 with the key key1 and the value value1. Check that the corresponding labels match in the service and ServiceMonitor resource configurations. You can also create custom severity definitions for alerting rules relating to user-defined projects. You can select which metrics are shown. NAME READY STATUS RESTARTS AGE This prevents monitoring components from deploying pods on node1 unless a toleration is configured for that taint. In this example, it is presumed that the application and its service monitor were installed in a user-defined, Create a YAML file for your configuration. The Grafana instance shipped within OpenShift Container Platform Monitoring is read-only and displays only infrastructure-related dashboards. It takes some time to deploy the ServiceMonitor resource. The pods affected by the new configuration are restarted automatically. The Grafana instance that is provided with the monitoring stack, along with its dashboards, is read-only. Add the enforcedSampleLimit configuration to data/config.yaml to limit the number of samples that can be accepted per target scrape in user-defined projects: Save the file to apply the changes. For example, oc adm taint nodes node1 key1=value1:NoSchedule adds a taint to node1 with the key key1 and the value value1. This procedure shows how to create a ServiceMonitor resource for the service. If monitoring components remain in a Pending state after configuring the nodeSelector constraint, check the pod logs for errors relating to taints and tolerations. If you followed the example, then user johnsmith has been assigned the permissions for setting up metrics collection and creating alerting rules in the ns1 namespace. It will take some time to deploy the ServiceMonitor resource. WebCustom Prometheus instances are not supported in OpenShift Container Platform. They send alerts about the same event with different thresholds, different severity, or both. For example, critical alerts require immediate attention and are typically paged to an individual or a critical response team. You can filter alerting rules by alert state, severity, and source. OpenShift Container Platform monitoring includes a watchdog alert that fires continuously. By default, the OpenShift Container Platform monitoring stack configures the retention time for Prometheus data to be 15 days. Maintenance and support for monitoring", Collapse section "2.2. WebOpenShift Container Platform Monitoring ships with a Prometheus instance for cluster monitoring and a central Alertmanager cluster. Add routing label names and values in the, USE method dashboards relating to cluster and node performance, Optional: Select a time range for the graphs in the. Maintenance and support for monitoring, 2.2.1. For example, a customer_id attribute is unbound because it has an infinite number of possible values. This section describes how to deploy a sample service in a user-defined project and then create a ServiceMonitor resource that defines how that service should be monitored. In the Developer perspective you can access dashboards that provide the following statistics for a selected project: Figure6.2. The Prometheus Operator (PO) in the openshift-monitoring project creates, configures, and manages platform Prometheus instances and Alertmanager instances. Granting user permissions by using the CLI, 3.3. Confirm that the log-level has been applied by reviewing the deployment or pod configuration in the related project. For production environments, it is highly recommended to configure persistent storage. You have enabled monitoring for user-defined projects. Using this new feature centralizes monitoring for core platform components and user-defined projects. Here you can see all metrics from all namespaces. thanos-ruler-user-workload-0 3/3 Running 0 3h An attribute that has an unlimited number of potential values is called an unbound attribute. Select the Platform and User sources in the Filter drop-down menu. By default, only Platform alerts that are Firing are displayed. Enabling symptom based monitoring by using the Probe custom resource definition (CRD) in Developers can also prevent the underlying cause by limiting the number of unbound attributes that they define for metrics. The resources created by the OpenShift Container Platform monitoring stack are not meant to be used by any other resources, as there are no guarantees about their backward compatibility. You can filter by alert state, severity, and source. The following log levels can be applied to each of those components in the cluster-monitoring-config and user-workload-monitoring-config ConfigMap objects: debug. For information on system requirements for persistent storage, see. When moving monitoring components to labeled nodes, ensure that enough matching nodes are available to maintain resilience for the component. Applying a custom Alertmanager configuration, 6.1. Using the external labels feature of Prometheus, you can attach custom labels to all time series and alerts leaving Prometheus. Technology Preview features Custom Prometheus instances and the Prometheus Operator installed through Operator Lifecycle Manager (OLM) are not compatible with user-defined monitoring if it is enabled. WebPrometheus is an open-source systems monitoring and alerting toolkit. Modifying any resources or objects deployed in the openshift-monitoring or openshift-user-workload-monitoring projects. The PVs should be available from the Local Storage Operator. You can add configuration options to this ConfigMap object for the components that monitor user-defined projects. You have limited the number of samples that can be accepted per target scrape in user-defined projects, by using. Specifies the user-defined project where the alerting rule will be deployed. The page includes a summary of the state, severity, and source for each alerting rule. It also automatically generates monitoring target configurations based on Kubernetes label queries. You have installed the OpenShift CLI (oc). To avoid this, select Hide graph and calibrate your query using only the metrics table. This table shows the monitoring components you can configure and the keys used to specify the components in the cluster-monitoring-config and user-workload-monitoring-config ConfigMap objects: Table2.1. This relates to the Prometheus instance that monitors core OpenShift Container Platform components only: To configure components that monitor user-defined projects: Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project: The following example ConfigMap object configures a data retention period and minimum container resource requests for Prometheus. You can also create custom severity definitions for alerts relating to user-defined projects. Cluster administrators can use the following measures to control the impact of unbound metrics attributes in user-defined projects: Limit the number of samples that can be accepted per target scrape in user-defined projects, Create alerts that fire when a scrape sample threshold is reached or when the target cannot be scraped. You can manipulate the plot interactively and explore the metrics. In the Administrator perspective you can access dashboards for core OpenShift Container Platform components, including: Figure6.1. You can also configure metrics collection for user-defined projects. The CMO is deployed by the Cluster Version Operator (CVO). You can create and configure the config map before you first enable monitoring for user-defined projects, to prevent having to redeploy the pods often. After installing OpenShift Container Platform 4.6, cluster administrators can optionally enable monitoring for user-defined projects. Alerts are not configured by default to be sent to any notification systems. With the OpenShift Container Platform web console, you can view and manage metrics, alerts, and review monitoring dashboards. Log informational, warning, and error messages. For more information about the support scope of Red Hat Technology Preview The running monitoring processes in that project might also be restarted. This is ideal if you require your metrics or alerting data to be guarded from data loss. The monitoring stack includes the following: By default, the OpenShift Container Platform 4.6 monitoring stack includes these components: Table1.1. This might take a short while: The user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project is not automatically deleted when monitoring for user-defined projects is disabled. Alternatively, you can specify multiple labels each relating to individual nodes. Fill the file with the configuration for deploying the service: This configuration deploys a service named prometheus-example-app in the ns1 project. To assign tolerations to a component that monitors core OpenShift Container Platform projects: Substitute and accordingly. Run this command to assign a role to a user in a defined namespace: Substitute with monitoring-rules-view, monitoring-rules-edit, or monitoring-edit. You can assign tolerations to any of the monitoring stack components to enable moving them to tainted nodes. You can define the metrics that you want to provide for your own workloads by using Prometheus client libraries at the application level. You can filter by silence state. You have enabled monitoring for user-defined projects. Create a YAML file for the service configuration. In the Developer perspective, the Metrics UI includes some predefined CPU, memory, bandwidth, and network packet queries for the selected project. Only cluster administrators have access to the third-party UIs provided with OpenShift Container Platform Monitoring. It might be useful to silence an alert after being first notified, while you resolve the underlying issue. In Namespace, select the namespace where you want to grant the access. info. This section explains what configuration is supported, shows how to configure the monitoring stack, and demonstrates several common configuration scenarios. Watchdog alert resource to expose custom application metrics for autoscaling '', Collapse section `` 2.2 when! Save your changes to the cluster-monitoring-config ConfigMap object, the pods to start: cluster can. The sample service becomes 0 Management role Bindings create Binding, different severity, and packet information! You need to use port-forwarding to access them you apply the configuration for deploying the service use. 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