EVALUATING ADOPTION OF COMPUTING DEPLOYMENT SOLUTIONS

• US 20170109685A1
• Filed: 10/19/2015
• Published: 04/20/2017
• Est. Priority Date: 10/19/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: BIANCHI, SILVIA CRISTINA SARDELA, Elias, Guilherme Steinberger, Paraiso, Marcos Vinicius Landivar, Tanada, Fabio Minoru, Varga, Sergio
• Granted Patent: US 10,685,305 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06Q 10/063118 Staff planning in a project environment

Abstract

A method includes generating one or more computing deployment solutions, each of the one or more computing deployment solutions specifying one or more parameters for deployment of a corresponding computing solution. The method also includes evaluating adoption of the one or more computing deployment solutions by respective ones of a plurality of computing systems utilizing one or more component evaluators connected via a network to the plurality of computing systems. The method further includes generating one or more solution deployment adoption reports for respective ones of the one or more computing deployment solutions based on information obtained over the network from the plurality of computing systems, and presenting the one or more solution deployment adoption reports via a dashboard user interface.

Claims

1. A method comprising:

generating one or more computing deployment solutions utilizing a dashboard user interface of a solution deployment adoption analyzer, each of the one or more computing deployment solutions specifying one or more parameters for deployment of a corresponding computing solution;

evaluating adoption of the one or more computing deployment solutions by respective ones of a plurality of computing systems utilizing one or more component evaluators of the solution deployment adoption analyzer connected via a network to the plurality of computing systems;

generating one or more solution deployment adoption reports for respective ones of the one or more computing deployment solutions based on information obtained over the network from the plurality of computing systems; and

presenting the one or more solution deployment adoption reports via the dashboard user interface of the solution deployment adoption analyzer;

wherein the solution deployment adoption analyzer is implemented using at least one processing device comprising a processor coupled to a memory.

2. The method of claim 1, wherein generating the one or more computing deployment solutions further comprises defining the one or more computing deployment solutions.

3. The method of claim 2, wherein defining the one or more computing deployment solutions comprises selecting the one or more computing deployment solutions from a solutions definition database.

4. The method of claim 2, wherein defining the one or more computing deployment solutions comprises selecting values of the one or more parameters for the one or more computing deployment solutions.

5. The method of claim 1, wherein the one or more parameters for the one or more computing deployment solutions comprise:

a workload parameter specifying processing loads of the one or more computing deployment solutions at respective ones of the plurality of computing systems;

a criticality parameter specifying criticality and impact of deploying the one or more computing deployment solutions at respective ones of the plurality of computing systems;

an estimated implementation time parameter specifying an expected time for implementation of the one or more computing deployment solutions at respective ones of the plurality of computing systems;

a resource skills parameter specifying skill levels of deployment teams at respective ones of the plurality of computing systems; and

a budget parameter specifying resources and infrastructure budgets for respective ones of the plurality of computing systems.

6. The method of claim 1, further comprising identifying one or more component checkers to be utilized in evaluating adoption of the one or more computing deployment solutions, wherein each component checker permits verification of a configuration of a component of the one or more computing deployment solutions.

7. The method of claim 6, wherein identifying the one or more component checkers comprises selecting the one or more component checkers from a component checker library.

8. The method of claim 6, wherein identifying the one or more component checkers comprises defining a new component checker.

9. The method of claim 6, wherein the one or more component checkers are implemented external to the solution deployment adoption analyzer at the plurality of computing systems.

10. The method of claim 9, wherein the one or more component checkers are configured to utilize application programming interfaces of the plurality of computing systems to compile evaluation results for respective components of the one or more computing deployment solutions.

11. The method of claim 6, wherein the one or more component checkers comprise:

at least one hardware evaluator configured to verify a configuration of one or more hardware components of the one or more computing deployment solutions; and

at least one software evaluator configured to verify a configuration of one or more software components of the one or more computing deployment solutions.

12. The method of claim 11, wherein the at least one software evaluator comprises one of:

an operating system evaluator;

a database evaluator;

a middleware evaluator; and

an application evaluator.

13. The method of claim 6, wherein evaluating adoption of the one or more computing deployment solutions comprises:

receiving verification of component configurations of the one or more computing deployment solutions at respective ones of the plurality of computing systems via the one or more component checkers;

identifying context sensitive pattern data for one or more attributes of respective ones of the plurality of computing systems; and

evaluating a solution deployment adoption level for respective ones of the computing systems based on verification of the component configurations and the context sensitive pattern data.

14. The method of claim 13, wherein evaluating the solution deployment adoption level comprises identifying whether respective ones of the components of the one or more computing deployment solutions were successfully deployed at respective ones of the plurality of computing systems.

15. The method of claim 13, wherein identifying the context sensitive pattern data utilizes a context sensitive pattern evaluation engine of the solution deployment adoption analyzer and a context pattern database.

16. The method of claim 15, wherein the context sensitive pattern evaluation engine utilizes a predictive model built using one or more of statistical, machine learning and artificial intelligence techniques to estimate one or more parameters of the plurality of computing systems.

17. The method of claim 1, wherein evaluating adoption of the one or more computing deployment solutions comprises:

building component dependency graphs for respective ones of the one or more computing deployment solutions;

analyzing deployment results obtained over the network from the plurality of computing systems to identify issues associated with different components of the one or more computing deployment solutions at respective ones of the plurality of computing systems; and

utilizing the component dependency graphs to determine an impact of the identified issues on overall adoption of the one or more computing deployment solutions at respective ones of the plurality of computing systems.

18. A computer program product comprising a computer readable storage medium for storing computer readable program code which, when executed, causes a computer:

to generate one or more computing deployment solutions utilizing a dashboard user interface, each of the one or more computing deployment solutions specifying one or more parameters for deployment of a corresponding computing solution;

to evaluate adoption of the one or more computing deployment solutions by respective ones of a plurality of computing systems utilizing one or more component evaluators connected via a network to the plurality of computing systems;

to generate one or more solution deployment adoption reports for respective ones of the one or more computing deployment solutions based on information obtained over the network from the plurality of computing systems; and

to present the one or more solution deployment adoption reports via the dashboard user interface.

19. An apparatus comprising:

a processing device comprising a processor coupled to a memory;

the processing device being configured to implement a solution deployment adoption analyzer, the solution deployment adoption analyzer comprising;

a solution deployment adoption dashboard; and

one or more component evaluators connected to a plurality of different computing systems over a network;

wherein the solution deployment adoption dashboard is configured to generate one or more computing deployment solutions utilizing a dashboard user interface, each of the one or more computing deployment solutions specifying one or more parameters for deployment of a corresponding computing solution;

wherein the one or more component evaluators are configured to evaluate adoption of the one or more computing deployment solutions by respective ones of a plurality of computing systems;

wherein the solution deployment adoption dashboard is further configured to generate one or more solution deployment adoption reports for respective ones of the one or more computing deployment solutions based on information obtained over the network from the plurality of computing systems; and

wherein the solution deployment adoption dashboard is further configured to present the one or more solution deployment adoption reports via the dashboard user interface.

20. The apparatus of claim 19, wherein the one or more component evaluators are configured to verify configuration of components of the one or more computing deployment solutions based on information obtained from one or more component checkers external to the solution deployment adoption analyzer at the plurality of computing systems.