Application Analyzer¶
The Application Analyzer is responsible for building deep learning models of application stacks, their services and resources they run and consume to optimize the execution landscape for the application.
Interface¶
- CLI - Command Line Interface
- REST-API -
- Portal - Web Portal
Activities and Flows¶
Deployment Architecture¶
This subsystem is deployed using micro-services as shown in the diagram below. The ‘micro’ module is used to implement the micro-services in the system. The subsystem also has an CLI, REST and Web Interface exposed through a sailajs application. The sailsjs application will interface with the micro-services and can monitor and drive work-flows through the mesh of micro-services.
Physical Architecture¶
The Application Analyzer subsystem is is physically laid out on a hybrid cloud infrastructure. Each microservice is shown how they connect to each other. All of the micro-services communicate to each other and the main app through a REST interface. A CLI, REST or Web interface for the app is how other subsystems or actors interact. Requests are forwarded to micro-services through the REST interface of each micro-service.
Micro Services¶
These are the micro-services for the subsystem. The combination of the micro-services help implement the subsystem’s logic.