AOM Best Practices

This document summarizes Application Operations Management (AOM) best practices and provides solutions and operation guide to help you easily use AOM.

**Table 1** AOM best practices
Best Practice	Description
Building a Comprehensive Metric System	This section describes how to build a metric system and a dashboard for all-round, multi-dimensional, and visualized monitoring of resources and applications.
Alarm Noise Reduction	This section describes how to set alarm noise reduction. Before sending an alarm notification, AOM processes alarms based on noise reduction rules to prevent alarm storms.
Unified Metric Monitoring	This section describes how to centrally monitor metric data of different accounts.
Customizing OS Images to Automatically Connect UniAgent	This section describes how to package images for connecting UniAgent in the Linux and Windows environments.
Connecting Self-Built Middleware in the CCE Container Scenario	Connecting PostgreSQL Exporter When using PostgreSQL, you need to monitor their status and locate their faults in a timely manner. The Prometheus monitoring function monitors PostgreSQL running using Exporter in the CCE container scenario. This section describes how to deploy PostgreSQL Exporter and implement alarm access.
	Connecting MySQL Exporter MySQL Exporter collects MySQL database metrics. Core database metrics collected through Exporter are used for alarm reporting and dashboard display. Currently, Exporter supports MySQL 5.6 or later. If the MySQL version is earlier than 5.6, some metrics may fail to be collected.
	Connecting Kafka Exporter When using Kafka, you need to monitor their running, for example, checking the cluster status and whether messages are stacked. The Prometheus monitoring function monitors Kafka running using Exporter in the CCE container scenario. This section describes how to deploy Kafka Exporter and implement alarm access.
	Connecting Memcached Exporter When using Memcached, you need to monitor their running and locate their faults in a timely manner. The Prometheus monitoring function monitors Memcached running using Exporter in the CCE container scenario. This section describes how to monitor Memcached.
	Connecting MongoDB Exporter When using MongoDB, you need to monitor MongoDB running and locate their faults in a timely manner. The Prometheus monitoring function monitors MongoDB running using Exporter in the CCE container scenario. This section describes how to deploy MongoDB Exporter and implement alarm access.
	Connecting Elasticsearch Exporter When using Elasticsearch, you need to monitor Elasticsearch running, such as the cluster and index status. The Prometheus monitoring function monitors Elasticsearch running using Exporter in the CCE container scenario. This section describes how to deploy Elasticsearch Exporter and implement alarm access.
	Connecting Redis Exporter When using Redis, you need to monitor Redis running and locate their faults in a timely manner. The Prometheus monitoring function monitors Redis running using Exporter in the CCE container scenario. This section describes how to monitor Redis.
	Connecting Other Exporters Guidance has been provided for connecting common Exporters. AOM is compatible with the native Prometheus, so you can also connect other Exporters in the community.
Interconnecting Third-Party/IDC/Huawei Cloud Cross-Region Self-Built Prometheus with AOM Prometheus Instances	It is common for cloud users to interconnect IDC/third-party self-built Prometheus with AOM Prometheus instances.