Ease of Use
Connects to applications without having to modify code, and collects performance data in a non-intrusive way.
Delivers high throughputs, ensuring premium experience.
Analyzes root causes using AI-powered threshold detection and machine learning based on historical data.
Opens O&M data query APIs and collection standards, and supports independent development.
Device-Cloud Full-Link APM
APM 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 code quickly.
Real-time intelligent analysis of O&M data helps you identify success and error patterns and find out root causes.
Applications can be connected easily without using SDKs.
RCA (Transaction Insights)
APM uses intelligent algorithms to learn historical data and differentiate success and error patterns, facilitating RCA.
All errors are classified and snapshot analysis is supported, so that you do not need to check errors one by one.
Input parameters, tracing structures, JVM parameters, and resource usage are analyzed.
All tracing data is collected for analysis.
Fault Locating in Minutes
APM enables you to locate faults through application topologies and drill-downs.
Application topologies are displayed, letting you to detect instance exceptions easily.
You can locate faults in code through tracing drill-downs.
Method tracing and up to hundreds of millions of API calls are supported.
Information about databases, SQL statement calls, latency, and errors is provided, allowing you to detect performance problems easily.
User Experience Analysis
APM analyzes application transactions in real time and provides Apdex scores, enabling you to monitor user experience comprehensively.
KPIs such as throughput, latency, and call success rate are displayed, so that you can monitor user experience easily.
Web services, caches, and databases are traced, so that you can detect performance bottlenecks quickly.
Application topology and tracing analysis
Transaction management and threshold rule customization
Intelligent sampling, monitoring group deletion, and transaction alias setting
Slow SQL analysis and method tracing
Browser and mobile monitoring, and transaction insights
To be released
Behavior and network analysis
Application auto-discovery, transaction analysis, and Apdex to detect problems and improve user experience
Analysis of KPIs (throughput, error rate, latency, and load status), slow SQL analysis, and intelligent alarm reporting
Full-stack tracing on messages from web browsers to servers, and then to databases; code-level O&M
Support for mainstream Java frameworks, web containers, communications protocols, and databases; easy access to applications without having to modify code