Cognitive control plane for application consistent datasets

1. A computer-implemented method for application consistent dataset recovery using a cognitive control plane, the computer-implemented method comprising:

recording, by a computer, using a cognitive engine, sequence and timestamp of snapshots of volumes in a consistency group across heterogenous storage components corresponding to an application to facilitate operational recovery of application consistent datasets for the application;

identifying, by the computer, using the cognitive engine, a set of snapshots needed for the operational recovery of the application consistent datasets for the application by mapping the sequence and timestamp of the snapshots of the volumes in the consistency group across the heterogenous storage components corresponding to the application in response to the computer determining that the operational recovery of the application consistent datasets for the application has been requested; and

performing, by the computer, using the cognitive engine, the operational recovery of the application consistent datasets for the application using the set of snapshots, wherein the computer utilizes the cognitive engine to generate a single display screen view across a heterogenous storage ecosystem that shows both on-premises and hybrid cloud storage components, all applications running in an enterprise and their application to storage components mappings, consistency groups and all metadata corresponding to the consistency groups, and snapshots, and wherein the single display screen view also shows a source primary production site and a target secondary replication site.

2. The computer-implemented method of claim 1 further comprising:

determining, by the computer, using the cognitive engine, whether a change to a storage ecosystem was detected related to one or more of the volumes of the consistency group of the application;

responsive to the computer determining that a change to the storage ecosystem was detected related to one or more of the volumes of the consistency group of the application, updating, by the computer, using the cognitive engine, an application to storage components mapping for the consistency group of the application to form an updated application to storage components mapping based on the change to the storage ecosystem related to the one or more of the volumes of the consistency group; and

updating, by the computer, using the cognitive engine, metadata corresponding to the consistency group of the application with storage component identifiers based on the updated application to storage components mapping.

3. The computer-implemented method of claim 2 further comprising:

determining, by the computer, using the cognitive engine, whether a snapshot function has been triggered based on a defined time interval;

responsive to the computer determining that the snapshot function has been triggered based on expiration of the defined time interval, performing, by the computer, using the cognitive engine, a snapshot of each volume in the consistency group of the application in a coordinated manner at that point-in-time; and

updating, by the computer, using the cognitive engine, the metadata corresponding to the consistency group of the application with snapshot identifiers corresponding to snapshots of the volumes in the consistency group.

4. The computer-implemented method of claim 3 further comprising:

applying, by the computer, using a rules engine of the cognitive engine, a set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping;

generating, by the computer, using an analytics engine of the cognitive engine, a set of actionable insights based on the rules engine applying the set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping; and

sending, by the computer, the set of actionable insights to an alerting and automation system to perform a set of action steps.

5. The computer-implemented method of claim 1 further comprising:

retrieving, by the computer, using the cognitive engine, data regarding the application from a data lake of an enterprise;

parsing, by the computer, using the cognitive engine, the data regarding the application to identify an application to host relationship and a host to storage relationship corresponding to the application;

generating, by the computer, using the cognitive engine, the application to storage components mapping for the consistency group of the application based on the application to host relationship and the host to storage relationship corresponding to the application; and

monitoring, by the computer, using the cognitive engine, for any changes to a storage ecosystem related to the volumes of the consistency group of the application by analyzing metadata fed to the cognitive engine from the data lake.

6. The computer-implemented method of claim 1 further comprising:

performing, by the computer, a virus scan on the snapshots of the volumes in the consistency group to evaluate data integrity to detect unauthorized access to the volumes.

7. The computer-implemented method of claim 1 , wherein the cognitive engine is provided as a cloud service.

8. A computer system for application consistent dataset recovery using a cognitive control plane, the computer system comprising:

a bus system;

a storage device connected to the bus system, wherein the storage device stores program instructions; and

a processor connected to the bus system, wherein the processor executes the program instructions to:

record, using a cognitive engine, sequence and timestamp of snapshots of volumes in a consistency group across heterogenous storage components corresponding to an application to facilitate operational recovery of application consistent datasets for the application;

identify, using the cognitive engine, a set of snapshots needed for the operational recovery of the application consistent datasets for the application by mapping the sequence and timestamp of the snapshots of the volumes in the consistency group across the heterogenous storage components corresponding to the application in response to the computer determining that the operational recovery of the application consistent datasets for the application has been requested; and

perform, using the cognitive engine, the operational recovery of the application consistent datasets for the application using the set of snapshots, wherein the computer utilizes the cognitive engine to generate a single display screen view across a heterogenous storage ecosystem that shows both on-premises and hybrid cloud storage components, all applications running in an enterprise and their application to storage components mappings, consistency groups and all metadata corresponding to the consistency groups, and snapshots, and wherein the single display screen view also shows a source primary production site and a target secondary replication site.

9. The computer system of claim 8 , wherein the processor further executes the program instructions to:

determine, using the cognitive engine, whether a change to a storage ecosystem was detected related to one or more of the volumes of the consistency group of the application;

update, using the cognitive engine, an application to storage components mapping for the consistency group of the application to form an updated application to storage components mapping based on the change to the storage ecosystem related to the one or more of the volumes of the consistency group in response to determining that a change to the storage ecosystem was detected related to one or more of the volumes of the consistency group of the application; and

update, using the cognitive engine, metadata corresponding to the consistency group of the application with storage component identifiers based on the updated application to storage components mapping.

10. The computer system of claim 9 , wherein the processor further executes the program instructions to:

determine, using the cognitive engine, whether a snapshot function has been triggered based on a defined time interval;

perform, using the cognitive engine, a snapshot of each volume in the consistency group of the application in a coordinated manner at that point-in-time in response to determining that the snapshot function has been triggered based on expiration of the defined time interval; and

update, using the cognitive engine, the metadata corresponding to the consistency group of the application with snapshot identifiers corresponding to snapshots of the volumes in the consistency group.

11. The computer system of claim 10 , wherein the processor further executes the program instructions to:

apply, using a rules engine of the cognitive engine, a set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping;

generate, using an analytics engine of the cognitive engine, a set of actionable insights based on the rules engine applying the set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping; and

send the set of actionable insights to an alerting and automation system to perform a set of action steps.

12. The computer system of claim 8 , wherein the processor further executes the program instructions to:

retrieve, using the cognitive engine, data regarding the application from a data lake of an enterprise;

parse, using the cognitive engine, the data regarding the application to identify an application to host relationship and a host to storage relationship corresponding to the application;

generate, using the cognitive engine, the application to storage components mapping for the consistency group of the application based on the application to host relationship and the host to storage relationship corresponding to the application; and

monitor, using the cognitive engine, for any changes to a storage ecosystem related to the volumes of the consistency group of the application by analyzing metadata fed to the cognitive engine from the data lake.

13. The computer system of claim 8 , wherein the processor further executes the program instructions to:

perform a virus scan on the snapshots of the volumes in the consistency group to evaluate data integrity to detect unauthorized access to the volumes.

14. A computer program product for application consistent dataset recovery using a cognitive control plane, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method of:

recording, by the computer, using a cognitive engine, sequence and timestamp of snapshots of volumes in a consistency group across heterogenous storage components corresponding to an application to facilitate operational recovery of application consistent datasets for the application;

identifying, by the computer, using the cognitive engine, a set of snapshots needed for the operational recovery of the application consistent datasets for the application by mapping the sequence and timestamp of the snapshots of the volumes in the consistency group across the heterogenous storage components corresponding to the application in response to the computer determining that the operational recovery of the application consistent datasets for the application has been requested; and

performing, by the computer, using the cognitive engine, the operational recovery of the application consistent datasets for the application using the set of snapshots, wherein the computer utilizes the cognitive engine to generate a single display screen view across a heterogenous storage ecosystem that shows both on-premises and hybrid cloud storage components, all applications running in an enterprise and their application to storage components mappings, consistency groups and all metadata corresponding to the consistency groups, and snapshots, and wherein the single display screen view also shows a source primary production site and a target secondary replication site.

15. The computer program product of claim 14 further comprising:

determining, by the computer, using the cognitive engine, whether a change to a storage ecosystem was detected related to one or more of the volumes of the consistency group of the application;

responsive to the computer determining that a change to the storage ecosystem was detected related to one or more of the volumes of the consistency group of the application, updating, by the computer, using the cognitive engine, an application to storage components mapping for the consistency group of the application to form an updated application to storage components mapping based on the change to the storage ecosystem related to the one or more of the volumes of the consistency group; and

updating, by the computer, using the cognitive engine, metadata corresponding to the consistency group of the application with storage component identifiers based on the updated application to storage components mapping.

16. The computer program product of claim 15 further comprising:

determining, by the computer, using the cognitive engine, whether a snapshot function has been triggered based on a defined time interval;

responsive to the computer determining that the snapshot function has been triggered based on expiration of the defined time interval, performing, by the computer, using the cognitive engine, a snapshot of each volume in the consistency group of the application in a coordinated manner at that point-in-time; and

updating, by the computer, using the cognitive engine, the metadata corresponding to the consistency group of the application with snapshot identifiers corresponding to snapshots of the volumes in the consistency group.

17. The computer program product of claim 16 further comprising:

applying, by the computer, using a rules engine of the cognitive engine, a set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping;

generating, by the computer, using an analytics engine of the cognitive engine, a set of actionable insights based on the rules engine applying the set of rules on the metadata corresponding to the consistency group of the application and the updated application to storage components mapping; and

sending, by the computer, the set of actionable insights to an alerting and automation system to perform a set of action steps.

18. The computer program product of claim 14 further comprising:

retrieving, by the computer, using the cognitive engine, data regarding the application from a data lake of an enterprise;

parsing, by the computer, using the cognitive engine, the data regarding the application to identify an application to host relationship and a host to storage relationship corresponding to the application;

generating, by the computer, using the cognitive engine, the application to storage components mapping for the consistency group of the application based on the application to host relationship and the host to storage relationship corresponding to the application; and

monitoring, by the computer, using the cognitive engine, for any changes to a storage ecosystem related to the volumes of the consistency group of the application by analyzing metadata fed to the cognitive engine from the data lake.

19. The computer program product of claim 14 further comprising:

performing, by the computer, a virus scan on the snapshots of the volumes in the consistency group to evaluate data integrity to detect unauthorized access to the volumes.