Monitoring APIs

The Alertmanager custom resource definition (CRD) defines a desired [Alertmanager](https://prometheus.io/docs/alerting) setup to run in a Kubernetes cluster. It allows to specify many options such as the number of replicas, persistent storage and many more.

For each Alertmanager resource, the Operator deploys a StatefulSet in the same namespace. When there are two or more configured replicas, the Operator runs the Alertmanager instances in high-availability mode.

The resource defines via label and namespace selectors which AlertmanagerConfig objects should be associated to the deployed Alertmanager instances.

The AlertmanagerConfig custom resource definition (CRD) defines how Alertmanager objects process Prometheus alerts. It allows to specify alert grouping and routing, notification receivers and inhibition rules.

Alertmanager objects select AlertmanagerConfig objects using label and namespace selectors.

AlertRelabelConfig defines a set of relabel configs for alerts.

Compatibility level 1: Stable within a major release for a minimum of 12 months or 3 minor releases (whichever is longer).

AlertingRule represents a set of user-defined Prometheus rule groups containing alerting rules. This resource is the supported method for cluster admins to create alerts based on metrics recorded by the platform monitoring stack in OpenShift, i.e. the Prometheus instance deployed to the openshift-monitoring namespace. You might use this to create custom alerting rules not shipped with OpenShift based on metrics from components such as the node_exporter, which provides machine-level metrics such as CPU usage, or kube-state-metrics, which provides metrics on Kubernetes usage.

The API is mostly compatible with the upstream PrometheusRule type from the prometheus-operator. The primary difference being that recording rules are not allowed here — only alerting rules. For each AlertingRule resource created, a corresponding PrometheusRule will be created in the openshift-monitoring namespace. OpenShift requires admins to use the AlertingRule resource rather than the upstream type in order to allow better OpenShift specific defaulting and validation, while not modifying the upstream APIs directly.

You can find upstream API documentation for PrometheusRule resources here:

https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md

Compatibility level 1: Stable within a major release for a minimum of 12 months or 3 minor releases (whichever is longer).

The PodMonitor custom resource definition (CRD) defines how Prometheus and PrometheusAgent can scrape metrics from a group of pods. Among other things, it allows to specify: * The pods to scrape via label selectors. * The container ports to scrape. * Authentication credentials to use. * Target and metric relabeling.

Prometheus and PrometheusAgent objects select PodMonitor objects using label and namespace selectors.

The Probe custom resource definition (CRD) defines how to scrape metrics from prober exporters such as the [blackbox exporter](https://github.com/prometheus/blackbox_exporter).

The Probe resource needs 2 pieces of information: * The list of probed addresses which can be defined statically or by discovering Kubernetes Ingress objects. * The prober which exposes the availability of probed endpoints (over various protocols such HTTP, TCP, ICMP, …​) as Prometheus metrics.

Prometheus and PrometheusAgent objects select Probe objects using label and namespace selectors.

The Prometheus custom resource definition (CRD) defines a desired [Prometheus](https://prometheus.io/docs/prometheus) setup to run in a Kubernetes cluster. It allows to specify many options such as the number of replicas, persistent storage, and Alertmanagers where firing alerts should be sent and many more.

For each Prometheus resource, the Operator deploys one or several StatefulSet objects in the same namespace. The number of StatefulSets is equal to the number of shards which is 1 by default.

The resource defines via label and namespace selectors which ServiceMonitor, PodMonitor, Probe and PrometheusRule objects should be associated to the deployed Prometheus instances.

The Operator continuously reconciles the scrape and rules configuration and a sidecar container running in the Prometheus pods triggers a reload of the configuration when needed.

The PrometheusRule custom resource definition (CRD) defines [alerting](https://prometheus.io/docs/prometheus/latest/configuration/alerting_rules/) and [recording](https://prometheus.io/docs/prometheus/latest/configuration/recording_rules/) rules to be evaluated by Prometheus or ThanosRuler objects.

Prometheus and ThanosRuler objects select PrometheusRule objects using label and namespace selectors.

The ServiceMonitor custom resource definition (CRD) defines how Prometheus and PrometheusAgent can scrape metrics from a group of services. Among other things, it allows to specify: * The services to scrape via label selectors. * The container ports to scrape. * Authentication credentials to use. * Target and metric relabeling.

Prometheus and PrometheusAgent objects select ServiceMonitor objects using label and namespace selectors.

The ThanosRuler custom resource definition (CRD) defines a desired [Thanos Ruler](https://github.com/thanos-io/thanos/blob/main/docs/components/rule.md) setup to run in a Kubernetes cluster.

A ThanosRuler instance requires at least one compatible Prometheus API endpoint (either Thanos Querier or Prometheus services).

The resource defines via label and namespace selectors which PrometheusRule objects should be associated to the deployed Thanos Ruler instances.

NodeMetrics sets resource usage metrics of a node.

PodMetrics sets resource usage metrics of a pod.