Three-dimensional O&M
Real-time Monitoring Service (RMS) is deeply integrated with application services in the Kubernetes, SOFA, and other technology stacks. It collects infrastructure data, middleware data, and runtime data, and business data of applications. RMS provides metric monitoring, log analysis, tracing, and alert subscription features, allowing you to perform three-dimensional O&M and analysis on the performance and running status of applications and resource usage. This improves efficiency in identifying and locating problems on application, resources, and the platform.
One-stop analysis: On the application overview page, you can view the trends of error metrics, traces, and metrics of applications and metrics of the system, allowing you to analyze the applications at one stop.
Comprehensive monitoring: RMS provides monitoring from infrastructure, ApsaraDB, cloud middleware, and application perspectives, allowing you to maintain applications at one stop.
Fault correlation analysis: RMS carries out correlation analysis based on applications from the component, instance, host, and cloud resource perspectives, allowing you to locate faults at one stop.
Problem analysis and quick locating
In distributed scenarios, service calls are complex, leading to difficult problem analysis and locating. The distributed tracing system can locate faulty services within a short time and help resolve faulty nodes.
Complete application call topology: RMS is capable of discovering the call history of a service and all middleware calls and drawing a topology of the calling relationship throughout the entire system.
Quick locating on unhealthy applications: In a call topology, you can explicitly identify unhealthy applications. This helps you identify and analyze faulty applications within a short time.
Service performance details: RMS allows you to perform drill-down analysis on a single application in the call topology. You can analyze the performance of the application in detail based on metrics such as the throughput, error rate, and response time.
Problem analysis and quick locating diagram
Application performance optimization
In the call topology, you can analyze the number of calls and the call duration of each application to find applications with high loads and applications with low loads. This allows you to make better use of resources based on the loads.
Trace aggregation: RMS analyzes the call status and response time of each application by aggregating all the call information of the application.
Critical path discovery: RMS is capable of discovering the paths of critical applications in the entire system call topology.
Optimization of unreasonable calls: RMS is capable of detecting and handling unreasonable calls, such as frequent database operations.
Performance optimization diagram
