Cognitive control plane for application consistent datasets

Patent metadata

Field	Value
Publication number	US-11620070-B2
Application number	US-202117169856-A
Country	US
Kind code	B2
Filing date	Feb 8, 2021
Priority date	Feb 8, 2021
Publication date	Apr 4, 2023
Grant date	Apr 4, 2023

Abstract

Application consistent dataset recovery using a cognitive control plane is provided. Sequence and timestamp of snapshots of volumes in a consistency group across heterogenous storage components corresponding to an application are recorded to facilitate operational recovery of application consistent datasets for the application. The cognitive control plane establishes a framework to manage, monitor, analyze, and update the consistency group and metadata to facilitate application consistent data recovery. A set of snapshots needed for the operational recovery of the application consistent datasets for the application is identified 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. The operational recovery of the application consistent datasets for the application is performed using the set of snapshots.

First claim

What is claimed is:

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 volume

Assignees

• Kyndryl Inc

Inventors

• Balasubramanian Shankar
• Narigapalli Anil Kumar
• Zolotow Clea
• Nanduru Laxmikantha Sai

Classifications

• G06N20/00

  Machine learning · CPC title

• G06F21/56

  Computer malware detection or handling, e.g. anti-virus arrangements · CPC title

• G06F3/0617

  in relation to availability · CPC title

• G06F11/1469

  Backup restoration techniques · CPC title

• G06F2201/82

  Solving problems relating to consistency · CPC title