Constructing and enhancing a deployment pattern

• US 10,558,445 B2
• Filed: 12/13/2016
• Issued: 02/11/2020
• 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
• Primary Examiner(s): Kim, Eunhee
• Application Number:
  US15/376,802
• Publication Number:
  US 20180165385A1
• Time in Patent Office: 1,155 Days
• Field of Search: 703 21
• 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 a metadata description of components in plurality of precedent systems, relationships between the components, performance characteristics of the plurality of precedent systems, and overall service level achievements of the plurality of precedent systems;

based on the metadata description of the components, the relationships between the components, the performance characteristics of the plurality of precedent systems, and the overall service level achievements of the plurality of precedent systems, the computer generating a metadata model of the precedent systems;

during a design phase of a lifecycle of an infrastructure of a new system and prior to any test phase or production phase of the new system, the computer identifying components in an initial deployment pattern of the new system, the initial deployment pattern being an initial design of the infrastructure of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, the computer determining target non-functional requirements (NFRs) and target service levels of the new system by automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model and the overall service level achievements of the plurality of precedent systems, the computer identifying one or more precedent systems included in the plurality of precedent systems that have components that match the components in the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model, the computer determining that a historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and in response to the step of determining that the historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels, the computer modifying the components that were identified in the initial deployment pattern and generating a new deployment pattern for the new system so that (i) the new deployment pattern includes the modified components and (ii) a performance of the new system using the new deployment pattern is likely to satisfy the target NFRs and the target service levels; and

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, 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 a 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 the modified 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 the 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 includes the steps of:

receiving data in logs generated by an infrastructure in the plurality of precedent systems; 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 an infrastructure in the plurality of precedent systems, the identified entities being 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 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 metadata description of the components in the plurality of precedent systems, the relationships between the components, the performance characteristics of the plurality of precedent systems, and the overall service level achievements of the plurality of precedent systems, generating the metadata model, identifying the components in the initial deployment pattern, determining the target NFRs and the target service levels, identifying the one or more precedent systems, determining that the historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels, modifying the components that were identified in the initial deployment pattern, generating the new deployment pattern, and generating the recommendation.

9. 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 a metadata description of components in a plurality of precedent systems, relationships between the components, performance characteristics of the plurality of precedent systems, and overall service level achievements of the plurality of precedent systems;

based on the metadata description of the components, the relationships between the components, the performance characteristics of the plurality of precedent systems, and the overall service level achievements of the plurality of precedent systems, the computer system generating a metadata model of the precedent systems;

during a design phase of a lifecycle of an infrastructure of a new system and prior to any test phase or production phase of the new system, the computer system identifying components in an initial deployment pattern of the new system, the initial deployment pattern being an initial design of the infrastructure of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, the computer system determining target non-functional requirements (NFRs) and target service levels of the new system by automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model and the overall service level achievements of the plurality of precedent systems, the computer system identifying one or more precedent systems included in the plurality of precedent systems that have components that match the components in the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model, the computer system determining that a historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and in response to the step of determining that the historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels, the computer system modifying the components that were identified in the initial deployment pattern and generating a new deployment pattern for the new system so that (i) the new deployment pattern includes the modified components and (ii) a performance of the new system using the new deployment pattern is likely to satisfy the target NFRs and the target service levels; and

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, the computer system generating a recommendation for deploying the new system using the new deployment pattern.

10. The computer program product of claim 9, 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 a 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.

11. The computer program product of claim 9, 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 the modified target service levels, the computer system determining an updated cost of the new system.

12. The computer program product of claim 9, wherein the method further comprises the steps of:

the computer system determining that the 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.

13. The computer program product of claim 9, wherein the step of aggregating includes the steps of:

receiving data in logs generated by an infrastructure in the plurality of precedent systems; and

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

14. The computer program product of claim 9, wherein the method further comprises the steps of:

identifying entities in an infrastructure in the plurality of precedent systems, the identified entities being 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.

15. The computer program product of claim 14, wherein the step of generating the new deployment pattern includes the step of aggregating the node patterns and the link patterns.

16. 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 a metadata description of components in a plurality of precedent systems, relationships between the components, performance characteristics of the plurality of precedent systems, and overall service level achievements of the plurality of precedent systems;

based on the metadata description of the components, the relationships between the components, the performance characteristics of the plurality of precedent systems, and the overall service level achievements of the plurality of precedent systems, the computer system generating a metadata model of the precedent systems;

during a design phase of a lifecycle of an infrastructure of a new system and prior to any test phase or production phase of the new system, the computer system identifying components in an initial deployment pattern of the new system, the initial deployment pattern being an initial design of the infrastructure of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, the computer system determining target non-functional requirements (NFRs) and target service levels of the new system by automatically identifying the target NFRs and the target service levels of the new system based on the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model and the overall service level achievements of the plurality of precedent systems, the computer system identifying one or more precedent systems included in the plurality of precedent systems that have components that match the components in the initial deployment pattern;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and based on the metadata model, the computer system determining that a historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels of the new system;

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, and in response to the step of determining that the historical performance of the one or more precedent systems did not satisfy the target NFRs and the target service levels, the computer system modifying the components that were identified in the initial deployment pattern and generating a new deployment pattern for the new system so that (i) the new deployment pattern includes the modified components and (ii) a performance of the new system using the new deployment pattern is likely to satisfy the target NFRs and the target service levels; and

during the design phase of the lifecycle of the infrastructure of the new system and prior to any test phase or production phase of the new system, the computer system generating a recommendation for deploying the new system using the new deployment pattern.

17. The computer system of claim 16, 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 a 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.

18. The computer system of claim 16, 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 the modified target service levels, the computer system determining an updated cost of the new system.

19. The computer system of claim 16, wherein the method further comprises the steps of:

the computer system determining that the 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.

20. The computer system of claim 16, wherein the step of aggregating includes the steps of:

receiving data in logs generated by an infrastructure in the plurality of precedent systems; and

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

21. The computer system of claim 16, wherein the method further comprises the steps of:

identifying entities in an infrastructure in the plurality of precedent systems, the identified entities being 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.

22. The computer system of claim 21, wherein the step of generating the new deployment pattern includes the step of aggregating the node patterns and the link patterns.