Updated on 2025-08-15 GMT+08:00

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

Preventing ELB Alarm Storms Using AOM Alarm Grouping Rules

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.

Automatically Connecting to UniAgent Using Custom Images

This section describes how to package images for connecting UniAgent in the Linux and Windows environments. By using the images, you can purchase an ECS and UniAgent will then be automatically installed on it.

Connecting Self-Built Middleware to AOM in the CCE Container Scenario for Metric Monitoring

Prometheus monitoring provides multiple common middleware Exporters. AOM is compatible with native Prometheus. You can install Exporters in the community to connect self-built middleware to AOM in the CCE container scenario.

Interconnecting Self-built Prometheus of a Third-party Vendor or IDC with an AOM Prometheus Instance

It is common for cloud users to interconnect self-built Prometheus of a third-party cloud vendor or Internet Data Center (IDC) with an AOM Prometheus instance.

Generating Alarms by Tag

Through Prometheus monitoring and alarm management, alarms can be generated for resources by tag. This section describes how to generate alarms for the CPU usage of a Distributed Cache Service (DCS) instance by tag.

Suggestions on AOM Security Configuration

This section provides guidance for enhancing the overall security of AOM. You can continuously evaluate the security of AOM and combine different security capabilities to enhance overall defense. By doing this, data stored in AOM can be protected from leakage and tampering both at rest and in transit.

Configuring a Recording Rule to Accelerate Metric Query

Based on recording rules, the system calculates the expressions that are frequently used or require heavy calculation in advance and saves the results as a group of new time series. This helps optimize the performance of complex PromQL statements and improve query efficiency. By setting recording rules, you can move the computing process to the write end, reducing resource usage on the query end.

Creating an APM Alarm Rule and Configuring Alarm Notification

AOM allows you to create an APM alarm rule to monitor and manage key metrics in real time. In this way, you will be able to improve application performance and stability.

Configuring Message Templates

AOM allows you to customize notification content by creating message templates. When an alarm notification policy is triggered, the system sends alarm information to specified recipients through emails, SMS, voice calls, HTTP/HTTPS, Lark, WeCom, DingTalk, or WeLink.