Provides one-stop multi-dimensional O&M platform for mobile apps, networks, services, middleware, and cloud resources.
Monitors service health in real time, and detects exceptions or performance bottlenecks within minutes.
Analyzes root causes using AI-powered threshold detection and machine learning based on historical data.
Ease of Use
Connects to applications without having to modify codes, and collects data in a non-intrusive way.
Device-Cloud Full-Link APM
AOM provides device-cloud application performance tracing and comprehensive topology views, letting you monitor applications in real time and diagnose faults quickly.
Distributed tracing helps you reproduce problems and locate performance bottlenecks in codes.
Real-time intelligent analysis of O&M data helps you identify success and error patterns and find out root causes.
Applications can be connected and tracked easily without using SDKs.
AOM supports AI-powered intelligent analysis of O&M metrics and alerts you to exceptions, like abrupt increases in metrics.
Exceptions like abrupt status changes are easily identified using optimal algorithms based on O&M metric characteristics.
Algorithms are automatically adjusted to suppress excessive alarms.
Auto-filtering of discrete glitch signals prevents superfluous alarms from being reported.
Problem Inspection and Demarcation
AOM monitors and collects O&M data of infrastructures, middleware, and application instances. It supports functions such as log analysis and event reporting, facilitating problem detection and demarcation.
Collectors are automatically deployed and applications are automatically discovered and monitored.
A unified O&M platform is used to monitor distributed applications.
Various exception detection policies, trigger modes, and APIs are available.
AOM provides multi-dimensional O&M from cloud platforms to resources, and from application monitoring to microservice tracing.
Service KPIs are monitored in real time, and root causes of transaction exceptions are analyzed.
Distributed tracing helps you locate faults rapidly.
Hundreds of metrics are monitored in real time, and clusters, VMs, applications, and containers are associated for analysis.
Monitoring of cloud services including ECS, CCE, ServiceStage, and APM for smooth application running
Auto-discovery and monitoring of applications without code changes; intuitive UIs for easy O&M
Customization of dashboards, supporting line graphs, pie charts, and progress bars
Customization of threshold rules and trigger policies, supporting email, SMS, HTTP, and HTTPS notifications
Storage, retrieval, and analysis of application logs based on custom policies
AI-powered intelligent analysis of O&M metrics to alert you to exceptions, such as abrupt increases in metrics