Functions

Prometheus monitoring supports monitoring data collection, storage, computing, display, and alarm reporting. It monitors metrics of containers, cloud services, middleware, databases, applications, and services. This section describes the important functions of Prometheus monitoring.

**Table 1** Monitored object access
Function	Description
Creating Prometheus Instances	Multiple types of Prometheus instances are supported. You can create Prometheus instances as required.
Connecting a CCE Cluster	An entry of Prometheus instances. It centrally displays associated data and high-frequency operations of container services, custom service discovery, and component monitoring. Only Prometheus instances for CCE support this function.

**Table 2** Monitoring metric collection
Function	Description
Configuring Metric Management for CCE Clusters	By adding ServiceMonitor or PodMonitor, you can configure Prometheus collection rules to monitor the services deployed in CCE clusters. Only Prometheus instances for CCE support this function.
Configuring Metrics	You can check, add, and discard metrics. Only the default or common Prometheus instance and the Prometheus instances for CCE, cloud services, and ECS are supported.

**Table 3** Data processing
Function	Description
Obtaining the Service Address of a Prometheus Instance	With the remote read and write addresses, you can store the monitoring data of self-built Prometheus to AOM Prometheus instances for remote storage.
Configuring a Recording Rule	By setting recording rules, you can move the computing process to the write end, reducing resource usage on the query end. Especially in large-scale clusters and complex service scenarios, recording rules can reduce PromQL complexity, thereby improving the query performance and preventing slow user configuration and queries. Only Prometheus instances for CCE support this function.