Quickly locate performance issues, reduce MTTR (Mean Time To Failure Recovery), and understand and track application performance in real time
Overview
Application Performance Management is an application performance management platform based on real-time multi-language application probe full-volume acquisition technology, providing you with distributed application performance analysis and fault self-test capabilities, and comprehensively ensuring the availability and stability of the system. Helps you quickly pinpoint performance issues in complex business systems and reduce MTTR (Mean Time to Failure Recovery).
Application performance monitoring supports filtering call links according to dimensions such as path interface, response time, sampling time, whether error exception is included, and whether it takes too long. It can further help users locate links containing specific abnormal information and database query, help users focus on key links from massive link data, quickly locate abnormal links, and complete troubleshooting.
Application Performance Monitoring Under microservices architecture, link tracing can span services to help users automatically construct the complete path for each request. At the same time, it collects request parameters, transaction data, error exceptions, method stack and underlying instance environment information to realize one-stop full-link problem analysis and improve the efficiency of problem location. Solve the pain points of troubleshooting such as scattered logs, irregular format, difficulty in focusing, and difficulty in associating upstream and downstream service logs.
Application performance monitoring relies on distributed call chain tracing model to automatically discover application logic topology and draw global topology relationship with application as basic unit. Visualize dependencies between complex applications, drill through real-time data, and intelligently analyze application states to quickly locate critical business impacts (bottleneck applications or components). At the same time, the upstream and downstream dependencies of the application dimensions clearly show the upstream load and downstream impact, and comprehensively analyze the application health status and performance indicators in combination with the upstream and downstream environments.
Application performance monitoring relies on distributed call chain tracing model to automatically discover application logic topology and draw global topology relationship with application as basic unit. Visualize dependencies between complex applications, drill through real-time data, and intelligently analyze application states to quickly locate critical business impacts (bottleneck applications or components). At the same time, the upstream and downstream dependencies of the application dimensions clearly show the upstream load and downstream impact, and comprehensively analyze the application health status and performance indicators in combination with the upstream and downstream environments.
Application performance monitoring actively aggregates performance and exception metrics according to interface, exception, database call and other dimensions to help you locate slow interfaces, slow SQL and high-frequency exceptions with one click. With the function of drilling down to related links with one click, the time from exception discovery to resolution is greatly reduced, and MTTR is optimized.
Application performance monitoring supports comprehensive monitoring of MySQL, Oracle, MongoDB, Redis and other databases. Automatically collect database performance indicators related to business systems, allowing you to understand database slow SQL, call status, read status, etc. in real time, and accurately locate database performance problems.
Business pain points
With the continuous development of business, business logic becomes increasingly complex, which makes it increasingly difficult to analyze and locate application performance problems, bringing huge challenges to monitoring and operation:
Solution
Business pain points
When the production environment fails, it affects the normal operation of the business. Due to the interdependence and complex relationship between services, it is difficult for operation and maintenance personnel to locate the cause of failure, which affects user experience.
Solution
