CONSTRUCTING AND ENHANCING A DEPLOYMENT PATTERN

• US 20180165385A1
• Filed: 12/13/2016
• Published: 06/14/2018
• Est. Priority Date: 12/13/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cillis, Canio, Kappel, Jochen, Plant, Laurence J., Reisinger, Josef
• Granted Patent: US 10,558,445 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 8/36 Software reuse
• CPC Class Codes: G06F 8/60 Software deployment

Abstract

An approach is provided for optimizing a deployment pattern. Event and configuration data of precedent systems is aggregated. Based on the aggregated data, a metadata model of the precedent systems is generated. Components of an initial deployment pattern of a new system are identified. Target non-functional requirements (NFRs) and target service levels of the new system are determined. Based on the metadata model, precedent system(s) that have components that match or are similar to the components in the initial deployment pattern are identified. A performance of the precedent system(s) is compared to the NFRs and target service levels. A new deployment pattern for the new system is generated. The new deployment pattern includes a modification of the components identified in the initial deployment pattern. A recommendation for deploying the new system using the new deployment pattern is generated.

Claims

1. A method of optimizing a deployment pattern, the method comprising the steps of:

a computer aggregating event data from a plurality of precedent systems and configuration data specifying infrastructure in the plurality of precedent systems;

based on the aggregated event data and configuration data, the computer generating a metadata model of the precedent systems;

the computer identifying components in an initial deployment pattern of a new system;

the computer determining target non-functional requirements (NFRs) and target service levels of the new system by receiving user-specified target NFRs and user-specified target service levels or automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

based on the metadata model, the computer identifying one or more precedent systems included in the plurality of precedent systems that have components that match or are similar to the components in the initial deployment pattern;

based on the metadata model, the computer comparing a performance of the one or more precedent systems to the target NFRs and target service levels of the new system;

in response to the step of comparing, the computer generating a new deployment pattern for the new system, the new deployment pattern including a modification of the components that were identified in the initial deployment pattern; and

the computer generating a recommendation for deploying the new system using the new deployment pattern.

2. The method of claim 1, further comprising the steps of:

the computer deploying an instance of the new system using the new deployment pattern;

the computer iteratively testing and improving the performance of the deployed instance of the new system; and

based on the tested and improved performance of the deployed instance of the new system, the computer validating the new deployment pattern.

3. The method of claim 1, further comprising the steps of:

the computer determining an initial cost of the new system based on the target NFRs and target service levels;

the computer modifying the target NFRs and the target service levels; and

based on the modified target NFRs and target service levels, the computer determining an updated cost of the new system.

4. The method of claim 1, further comprising the steps of:

the computer determining that a performance of the new system does not attain a target service level included in the target service levels;

based on the performance of the new system not attaining the target service level, the computer modifying the new deployment pattern;

the computer updating the new system based on the modified new deployment pattern; and

the computer determining that the updated new system based on the modified new deployment pattern attains the target service level.

5. The method of claim 1, wherein the step of aggregating the event data from the plurality of precedent systems and the configuration data specifying the infrastructure in the plurality of precedent systems includes the steps of:

receiving data in logs generated by the infrastructure; and

receiving data from application discovery tools, dependency tools, and network configuration discovery tools.

6. The method of claim 1, further comprising the steps of:

identifying entities in the infrastructure that are included in predefined key entities;

identifying relationships among the identified entities;

mapping the identified entities to respective node patterns, each node pattern storing attributes of a corresponding entity included in the identified entities; and

generating link patterns specifying the identified relationships among the identified entities.

7. The method of claim 6, wherein the step of generating the new deployment pattern includes the step of aggregating the node patterns and the link patterns.

8. The method of claim 1, further comprising the steps of:

the computer receiving a metadata description of components in the infrastructure in the plurality of precedent systems;

the computer receiving relationships between the components in the infrastructure in the plurality of precedent systems; and

the computer receiving performance characteristics and overall service level achievement over time for the components in the infrastructure in the plurality of precedent systems,

wherein the step of aggregating the event data from the plurality of precedent systems and configuration data specifying the infrastructure in the plurality of precedent systems includes aggregating the metadata description, the relationships between the components, the performance characteristics, and the overall service level achievement over time.

9. The method of claim 1, further comprising the step of:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable program code in the computer, the program code being executed by a processor of the computer to implement the steps of aggregating the event data and the configuration data, generating the metadata model, identifying the components, determining the target NFRs and the target service levels, identifying the one or more precedent systems, comparing, generating the new deployment pattern, and generating the recommendation.

10. A computer program product, comprising:

a computer-readable storage medium; and

a computer-readable program code stored in the computer-readable storage medium, the computer-readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of optimizing a deployment pattern, the method comprising the steps of;

the computer system aggregating event data from a plurality of precedent systems and configuration data specifying infrastructure in the plurality of precedent systems;

based on the aggregated event data and configuration data, the computer system generating a metadata model of the precedent systems;

the computer system identifying components in an initial deployment pattern of a new system;

the computer system determining target non-functional requirements (NFRs) and target service levels of the new system by receiving user-specified target NFRs and user-specified service levels or automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

based on the metadata model, the computer system identifying one or more precedent systems included in the plurality of precedent systems that have components that match or are similar to the components in the initial deployment pattern;

based on the metadata model, the computer system comparing a performance of the one or more precedent systems to the target NFRs and target service levels of the new system;

in response to the step of comparing, the computer system generating a new deployment pattern for the new system, the new deployment pattern including a modification of the components that were identified in the initial deployment pattern; and

the computer system generating a recommendation for deploying the new system using the new deployment pattern.

11. The computer program product of claim 10, wherein the method further comprises the steps of:

the computer system deploying an instance of the new system using the new deployment pattern;

the computer system iteratively testing and improving the performance of the deployed instance of the new system; and

based on the tested and improved performance of the deployed instance of the new system, the computer system validating the new deployment pattern.

12. The computer program product of claim 10, wherein the method further comprises the steps of:

the computer system determining an initial cost of the new system based on the target NFRs and the target service levels;

the computer system modifying the target NFRs and the target service levels; and

based on the modified target NFRs and target service levels, the computer system determining an updated cost of the new system.

13. The computer program product of claim 10, wherein the method further comprises the steps of:

the computer system determining that a performance of the new system does not attain a target service level included in the target service levels;

based on the performance of the new system not attaining the target service level, the computer system modifying the new deployment pattern;

the computer system updating the new system based on the modified new deployment pattern; and

the computer system determining that the updated new system based on the modified new deployment pattern attains the target service level.

14. The computer program product of claim 10, wherein the step of aggregating the event data from the plurality of precedent systems and the configuration data specifying the infrastructure in the plurality of precedent systems includes the steps of:

receiving data in logs generated by the infrastructure; and

receiving data from application discovery tools, dependency tools, and network configuration discovery tools.

15. The computer program product of claim 10, wherein the method further comprises the steps of:

identifying entities in the infrastructure that are included in predefined key entities;

identifying relationships among the identified entities;

mapping the identified entities to respective node patterns, each node pattern storing attributes of a corresponding entity included in the identified entities; and

generating link patterns specifying the identified relationships among the identified entities.

16. The computer program product of claim 15, wherein the step of generating the new deployment pattern includes the step of aggregating the node patterns and the link patterns.

17. The computer program product of claim 10, wherein the method further comprises the steps of:

the computer system receiving a metadata description of components in the infrastructure in the plurality of precedent systems;

the computer system receiving relationships between the components in the infrastructure in the plurality of precedent systems; and

the computer system receiving performance characteristics and overall service level achievement over time for the components in the infrastructure in the plurality of precedent systems,

wherein the step of aggregating the event data from the plurality of precedent systems and configuration data specifying the infrastructure in the plurality of precedent systems includes aggregating the metadata description, the relationships between the components, the performance characteristics, and the overall service level achievement over time.

18. A computer system comprising:

a central processing unit (CPU);

a memory coupled to the CPU; and

a computer readable storage device coupled to the CPU, the storage device containing instructions that are executed by the CPU via the memory to implement a method of optimizing a deployment pattern, the method comprising the steps of;

the computer system aggregating event data from a plurality of precedent systems and configuration data specifying infrastructure in the plurality of precedent systems;

based on the aggregated event data and configuration data, the computer system generating a metadata model of the precedent systems;

the computer system identifying components in an initial deployment pattern of a new system;

the computer system determining target non-functional requirements (NFRs) and target service levels of the new system by receiving user-specified target NFRs and user-specified target service levels or automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

based on the metadata model, the computer system identifying one or more precedent systems included in the plurality of precedent systems that have components that match or are similar to the components in the initial deployment pattern;

based on the metadata model, the computer system comparing a performance of the one or more precedent systems to the target NFRs and target service levels of the new system;

in response to the step of comparing, the computer system generating a new deployment pattern for the new system, the new deployment pattern including a modification of the components that were identified in the initial deployment pattern; and

the computer system generating a recommendation for deploying the new system using the new deployment pattern.

19. The computer system of claim 18, wherein the method further comprises the steps of:

the computer system deploying an instance of the new system using the new deployment pattern;

the computer system iteratively testing and improving the performance of the deployed instance of the new system; and

based on the tested and improved performance of the deployed instance of the new system, the computer system validating the new deployment pattern.

20. The computer system of claim 18, wherein the method further comprises the steps of:

the computer system determining an initial cost of the new system based on the target NFRs and the target service levels;

the computer system modifying the target NFRs and the target service levels; and

based on the modified target NFRs and target service levels, the computer system determining an updated cost of the new system.

21. The computer system of claim 18, wherein the method further comprises the steps of:

the computer system determining that a performance of the new system does not attain a target service level included in the target service levels;

based on the performance of the new system not attaining the target service level, the computer system modifying the new deployment pattern;

the computer system updating the new system based on the modified new deployment pattern; and

the computer system determining that the updated new system based on the modified new deployment pattern attains the target service level.

22. The computer system of claim 18, wherein the step of aggregating the event data from the plurality of precedent systems and the configuration data specifying the infrastructure in the plurality of precedent systems includes the steps of:

receiving data in logs generated by the infrastructure; and

receiving data from application discovery tools, dependency tools, and network configuration discovery tools.

23. The computer system of claim 18, wherein the method further comprises the steps of:

identifying entities in the infrastructure that are included in predefined key entities;

identifying relationships among the identified entities;

mapping the identified entities to respective node patterns, each node pattern storing attributes of a corresponding entity included in the identified entities; and

generating link patterns specifying the identified relationships among the identified entities.

24. The computer system of claim 23, wherein the step of generating the new deployment pattern includes the step of aggregating the node patterns and the link patterns.

25. The computer system of claim 18, wherein the method further comprises the steps of:

the computer system receiving a metadata description of components in the infrastructure in the plurality of precedent systems;

the computer system receiving relationships between the components in the infrastructure in the plurality of precedent systems; and

the computer system receiving performance characteristics and overall service level achievement over time for the components in the infrastructure in the plurality of precedent systems,

wherein the step of aggregating the event data from the plurality of precedent systems and configuration data specifying the infrastructure in the plurality of precedent systems includes aggregating the metadata description, the relationships between the components, the performance characteristics, and the overall service level achievement over time.