Code development for deployment on a cloud platform
A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.
1. An apparatus comprising:
at least one processing platform comprising a plurality of processing devices;
said at least one processing platform being configured:
to receive input code for computer programming;
to analyze the input code to determine one or more endpoints and extract a plurality of configuration properties from the input code, wherein the input code comprises legacy code convertible to microservice code for a cloud-based deployment;
to generate one or more configuration files from the extracted plurality of configuration properties; and
to generate the microservice code from the one or more configuration files and based, at least in part, on the one or more endpoints of the input code;
wherein the generated microservice code is configured for deployment on one or more cloud computing platforms;
wherein, in generating the microservice code from the one or more configuration files, said at least one processing platform is configured to provide placeholders in the microservice code for one or more microservice accelerators; and
wherein the one or more microservice accelerators comprise at least a scaler accelerator implementing at least one of functionality for dynamic scaling of system resources to dynamically adjust resource capacity in response to changes in utilization of one or more of the system resources, and functionality for predictive scaling of the system resources to forecast load of the system resources to generate scheduled adjustments to the resource capacity.
2. The apparatus of claim 1 wherein said at least one processing platform is further configured to validate the generated microservice code prior to the deployment of the generated microservice code on the one or more cloud computing platforms.
3. The apparatus of claim 2 wherein the validation is based on a plurality of factors comprising at least one of (i) a number of codebases for a plurality of microservices; (ii) whether dependencies have been declared; (iii) a storage location of one or more configurations; (iv) whether one or more backing services are treated as attached resources; (v) whether build and run stages are separated; and (vi) whether logs are produced as event streams.
4. The apparatus of claim 2 wherein, in validating the generated microservice code, said at least one processing platform is configured to perform load testing.
5. The apparatus of claim 2 wherein, in validating the generated microservice code, said at least one processing platform is configured to analyze a quality of the generated microservice code.
6. The apparatus of claim 1 wherein, in analyzing the input code, said at least one processing platform is configured to determine a granularity of one or more services in the input code.
7. The apparatus of claim 1 wherein, in analyzing the input code, said at least one processing platform is configured to further determine at least one of enterprise logic, data sources, messaging queues, web services and templates in the input code.
8. The apparatus of claim 1 wherein, in generating the microservice code from the one or more configuration files, said at least one processing platform is configured to utilize one or more templates from a template repository.
9. The apparatus of claim 1 wherein, in generating the microservice code from the one or more configuration files, said at least one processing platform is configured to utilize one or more code snippets from a code snippet repository.
10. The apparatus of claim 1 wherein the one or more microservice accelerators further comprise at least one of a security accelerator, logging accelerator, testing accelerator, cloud platform configuration accelerator and continuous integration (CI)/continuous delivery (CD) accelerator.
11. The apparatus of claim 1 wherein, in generating the microservice code from the one or more configuration files, said at least one processing platform is configured to provide for one or more connections to external systems in the microservice code.
12. The apparatus of claim 1 wherein said at least one processing platform is further configured:
to provide an interface to one or more users for retrieving the input code from a codebase location.
13. A method comprising:
receiving input code for computer programming;
analyzing the input code to determine one or more endpoints and extracting a plurality of configuration properties from the input code, wherein the input code comprises legacy code convertible to microservice code for a cloud-based deployment;
generating one or more configuration files from the extracted plurality of configuration properties; and
generating the microservice code from the one or more configuration files and based, at least in part, on the one or more endpoints of the input code;
wherein the generated microservice code is configured for deployment on one or more cloud computing platforms;
wherein generating the microservice code from the one or more configuration files comprises providing placeholders in the microservice code for one or more microservice accelerators;
wherein the one or more microservice accelerators comprise at least a scaler accelerator implementing at least one of functionality for dynamic scaling of system resources to dynamically adjust resource capacity in response to changes in utilization of one or more of the system resources, and functionality for predictive scaling of the system resources to forecast load of the system resources to generate scheduled adjustments to the resource capacity; and
wherein the method is performed by at least one processing platform comprising at least one processing device comprising a processor coupled to a memory.
14. The method of claim 13 further comprising validating the generated microservice code prior to the deployment of the generated microservice code on the one or more cloud computing platforms.
15. The method of claim 13 wherein generating the microservice code from the one or more configuration files comprises at least one of utilizing one or more templates from a template repository and utilizing one or more code snippets from a code snippet repository.
16. The method of claim 13 wherein generating the microservice code from the one or more configuration files comprises providing for one or more connections to external systems in the microservice code.
17. A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing platform causes said at least one processing platform:
to receive input code for computer programming;
to analyze the input code to determine one or more endpoints and extract a plurality of configuration properties from the input code, wherein the input code comprises legacy code convertible to microservice code for a cloud-based deployment;
to generate one or more configuration files from the extracted plurality of configuration properties; and
to generate the microservice code from the one or more configuration files and based, at least in part, on the one or more endpoints of the input code;
wherein the generated microservice code is configured for deployment on one or more cloud computing platforms;
wherein, in generating the microservice code from the one or more configuration files, the program code causes said at least one processing platform to provide placeholders in the microservice code for one or more microservice accelerators; and
wherein the one or more microservice accelerators comprise at least a scaler accelerator implementing at least one of functionality for dynamic scaling of system resources to dynamically adjust resource capacity in response to changes in utilization of one or more of the system resources, and functionality for predictive scaling of the system resources to forecast load of the system resources to generate scheduled adjustments to the resource capacity.
18. The computer program product according to claim 17 , wherein the program code further causes said at least one processing platform to validate the generated microservice code prior to the deployment of the generated microservice code on the one or more cloud computing platforms.
19. The apparatus of claim 1 wherein, in receiving the input code, said at least one processing platform is configured to receive an identification of a codebase location from a user via a user interface, wherein the receiving of the identification triggers transmission of a version control system path and service identifier to a parsing service.
20. The method of claim 13 wherein receiving the input code comprises receiving an identification of a codebase location from a user via a user interface, wherein the receiving of the identification triggers transmission of a version control system path and service identifier to a parsing service.