At present, it has landed in many large domestic 500 enterprises, and has mature solutions in finance, communications, industry, energy and other industries.
To provide millions of developers with the world's leading cloud computing service platform.
Centrality, inability to isolate resources
Inability to meet the rapidly changing demands of business volume
Inability to perceive connections between different applications
Difficult and costly to maintain, coupled with functional codes
Gradually decouple functional code, supported by container technology
Kubernetes makes elastic support for application services
Application performance monitoring to discover slow methods, slow SQL in applications
Automatic application scaling/business application microservicing
Decentralization to reduce application interactions
Lack of means of fault retrospection, making it difficult to discover the overall operational status of the failed system
Lack of efficient means of fault localization Lack of single-user-specific means of fault localization
Correlation analysis and accurate, fast location of problem nodes in the form of full link topology maps
The "user request tracking" approach tracks all the nodes experienced by a user for a single request and gives the delay distribution.
Difficulties in monitoring and managing multiple business systems were resolved
Shorten the time to deal with problems by analyzing and locating faults in all directions
Quickly handle poor user experience and reduce pressure on operations and maintenance staff
