Generating service images having scripts for the deployment of services

• US 10,540,162 B2
• Filed: 11/15/2018
• Issued: 01/21/2020
• Est. Priority Date: 09/20/2016
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: Sagiraju, Krishna C.
• Primary Examiner(s): Zhen, Wei Y
• Assistant Examiner(s): Wu, Junchun
• Application Number:
  US16/192,547
• Publication Number:
  US 20190087167A1
• Time in Patent Office: 432 Days
• CPC Class Codes: G06F 8/31 Programming languages or programming paradigms
• CPC Class Codes: G06F 8/63 Image based installation; Cloning; Build to order
• CPC Class Codes: G06F 9/445 Program loading or initiating bootstrapping G06F9/4401; security arrangements for program loading or initiating G06F21/57
• CPC Class Codes: H04L 41/5054 Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416

Abstract

Disclosed herein provides enhancements for generating images for deployment in processing environments. In one implementation a method of preparing service images for large scale data processing environments includes identifying a first service image, and identifying metadata that defines runtime requirements for deploying the service in data processing environments. The method further provides generating scripts for deploying the service based on the metadata, and generating a second service image for the service, wherein the second service image includes the scripts.

Claims

1. A method of preparing service images for large data processing environments, the method comprising:

in a processing system, identifying a first service image for a service;

identifying metadata that defines runtime requirements for deploying the service in data processing environments, wherein the runtime requirements for deploying the service comprise dependent characteristics of at least one cooperating service to be executed as one or more virtual nodes in a processing environment with the service, and wherein the dependent characteristics comprise addressing information for the at least one cooperating service;

generating scripts for deploying the service based on the metadata, wherein the scripts comprise operations to configure the service to communicate with the cooperating service;

generating a second service image for the service, wherein the second service image includes the scripts; and

deploying the second service as one or more virtual nodes via the second service image with the at least one cooperating service in the processing environment.

2. The method of claim 1 wherein the service comprises a large scale processing framework (LSPF) service.

3. The method of claim 1 wherein the runtime requirements for deploying the service in the data processing environments further comprise internet protocol addressing requirements for the service and computing resource requirements for the service.

4. The method of claim 3 wherein the computing resource requirements comprise at least processing and memory resource requirements for the service.

5. The method of claim 1 wherein the cooperating service comprises a cooperating large scale processing framework service.

6. The method of claim 1 wherein the cooperating service comprises a distributed computing service.

7. The method of claim 1 wherein the at least one cooperating service comprises an analytics service.

8. The method of claim 1 further comprising:

identifying a user selection to deploy the service; and

executing the scripts of the second service image to identify runtime characteristics of the data processing environment and move files associated with the service to nodes allocated to the service.

9. The method of claim 1 further comprising storing the second service image in a service repository accessible by users and administrators of a plurality of data processing environments.

10. The method of claim 1 wherein the metadata comprises one or more metadata files in an application program interface (API) format, and wherein generating the scripts for deploying the service based on the metadata comprises translating the one or more metadata files in the API format into the scripts for deploying the service.

11. A computing apparatus comprising:

one or more non-transitory computer readable storage media;

a processing system operatively coupled with the one or more non-transitory computer readable storage media; and

program instructions stored on the one or more non-transitory computer readable storage media to prepare service images for large data processing environments that, when read and executed by the processing system, direct the processing system to at least;

identify a first service image for a service;

identify metadata that defines runtime requirements for deploying the service in data processing environments, wherein the runtime requirements for deploying the service comprise dependent characteristics of at least one cooperating service to be executed as one or more virtual nodes in a processing environment with the service, and wherein the dependent characteristics comprise addressing information for the at least one cooperating service;

generate scripts for deploying the service based on the metadata, wherein the scripts comprise operations to configure the service to communicate with the cooperating service;

generate a second service image for the service, wherein the second service image includes the scripts; and

deploy the second service as one or more virtual nodes via the second service image with the at least one cooperating service in the processing environment.

12. The computing apparatus of claim 11 wherein the service comprises a large scale processing framework service.

13. The computing apparatus of claim 11 wherein the runtime requirements for deploying the service in the data processing environments comprise internet protocol addressing requirements for the service and computing resource requirements for the service.

14. The computing apparatus of claim 13 wherein the computing resource requirements comprise at least processing and memory resource requirements for the service.

15. The computing apparatus of claim 11 wherein the cooperating service comprises a large scale processing framework service.

16. The computing apparatus of claim 11 wherein the service comprises a distributed computing service and wherein the cooperating service comprises an analytics service.

17. The computing apparatus of claim 11 wherein the at least one cooperating service comprises a Hadoop or a Spark service.

18. The computing apparatus of claim 11 wherein the metadata comprises one or more metadata files in an application program interface (API) format, and wherein the program instructions to generate the scripts for deploying the service based on the metadata direct the processing system to translate the one or more metadata files in the API format into the scripts for deploying the service.

19. An apparatus comprising:

one or more non-transitory computer readable storage media;

program instructions stored on the one or more non-transitory computer readable storage media to prepare large scale processing framework service images for large scale data processing environments that, when read and executed by a processing system, direct the processing system to at least;

identify a first service image for a service;

identify metadata that defines runtime requirements for deploying the service in data processing environments, wherein the runtime requirements for deploying the service comprise dependent characteristics of at least one cooperating service to be executed as one or more virtual nodes in a processing environment with the service, and wherein the dependent characteristics comprise addressing information for the at least one cooperating service;

generate scripts for deploying the service based on the metadata, wherein the scripts comprise operations to configure the service to communicate with the cooperating service;

generate a second service image for the service, wherein the second service image includes the scripts; and

deploy the second service as one or more virtual nodes via the second service image with the at least one cooperating service in the processing environment.

20. The apparatus of claim 19 wherein the runtime requirements for deploying the service in the data processing environment comprise internet protocol addressing requirements for the service and computing resource requirements for the service.