Ease of Use
Connects to applications without having to modify codes, 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 codes 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 and tracked 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.
Fast Fault Locating
APM enables you to locate faults in minutes through application topologies and drill-downs.
Application topologies are displayed, letting you to detect instance exceptions easily.
You can locate faults in codes through 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.
Nov 15, 2017
Application topology and tracing analysis
Dec 20, 2017
Transaction management and threshold rule customization
Feb 10, 2018
Intelligent sampling, monitoring group deletion, and transaction alias setting
Apr 20, 2018
Slow SQL analysis and method tracing
Sep 6, 2018
Browser and mobile monitoring, and transaction insights
Dec 31, 2018
JVM and thread metric monitoring
Jan 15, 2019
Virtual service grouping
Feb 15, 2019
Association of basic metrics
Apr 15, 2019
Mobile (android) ANR/crash monitoirng
May 30, 2019
Support for hybrid cloud deployment
Jun 20, 2019
Support for PHP applications
Jul 5, 2019
Support for Kunpeng servers
User 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