It supports the deployment, registration, discovery, calling, authentication, traffic control, log and other functions of services, and based on these functions, the entire service process can be controlled more flexibly.
The combination of data monitoring and calling amount monitoring makes it more convenient for users to get to know the calling data of all dimensions of services as well as the calling relationship and conditions among services.
Now, the service frame only supports application types such as SpringCloud and Dubbo and are compatible with development frames of languages such as Go, dotNet and Python.
It is very easy for users to migrate their business to JD Distributed Service Framework based on JD Cloud Distributed Service Framework. The functions provided by the service framework allow users to no longer concern about the implementation, operation and maintenance of service framework, and to completely focus on the design and splitting of business.
For large distributed system, sorting out the calling relationship and managing the calling permission is often very complex. The built-in calling chain analysis function and service authentication mechanism of JD Distributed Service Framework can effectively help users manage the service calling process.
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