Program monitoring is faced with the problems of multiple data types and large differences in information focus. The use of traditional data presentation methods often results in understanding deviations and inability to quickly obtain information points. FrontJS uses a variety of visualization methods and tools to adopt differentiated expressions for different monitoring scenarios, which can visually and vividly display user key data and error information to you, so that you can quickly grasp key information and make corresponding adjustments.

In actual business, different types of small programs often have different key events and indicators. It is often difficult to reach the key points of the business using the default alarm method and cannot meet the deep alarm requirements. FrontJS supports user-defined addition of alarm events, setting of warning values and coverage, so that different types of applets can provide comprehensive alarms for business-critical events; in addition, alarms support custom notifications to email and mobile phones, allowing users to receive alarms anytime, anywhere information.

FrontJS is a real-time and uninterrupted detection and analysis platform covering the user side and the network; any exceptions, request problems, and page problems generated when the user uses the small program can be accurately captured in real time, and the root cause of the problem can be analyzed and judged whether Feedback to you in time.

FrontJS comprehensively records user and system behaviors such as user clicks, jumps, network requests, resource loading, etc. Under complex applications and network environments, it can accurately locate the root causes of problems caused by network, client, and server performance, and help developers improve Quickly solve the problem.