Pattern-based migration of workloads

• US 10,637,735 B2
• Filed: 08/26/2015
• Issued: 04/28/2020
• Est. Priority Date: 08/26/2015
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated (Kyndryl Holdings, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Ciano, Giuseppe, Reddy, Kapuveera R., Thio, Hsiao-Choong, Tost, Andre, Venkiteswaran, Sreekrishnan
• Primary Examiner(s): Trost, IV, William G
• Assistant Examiner(s): Moorad, Imran
• Application Number:
  US14/836,929
• Publication Number:
  US 20170063629A1
• Time in Patent Office: 1,707 Days
• CPC Class Codes: H04L 41/0843 based on generic templates
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30

Abstract

Apparatus for pattern-based migration of a source workload to a target workload at a target deployment which includes a discovery engine, a decision system, a deployment manager, a pattern deployment engine and a residual migration and remediation system. The discovery engine takes the source deployment as an input and discovers metadata associated with the deployed components of the source workload and the IT topology. The deployment manager in cooperation with the pattern deployment engine at the target determines a closest starting-point template to be used for pattern-based target workload deployment. The decision system receives the metadata from the discovery engine and in cooperation with the deployment manager makes a go or no-go decision whether to trigger pattern-based target workload. The residual migration and remediation system finds any undiscovered source workload components and deploys the undiscovered workload components to the target deployment by an image-based migration.

Claims

1. Apparatus for pattern-based migration of a source workload at a source deployment to a target workload at a target deployment comprising:

a non-transitory storage medium that stores instructions; and

a processor that executes the instructions to perform the following functions;

a discovery engine to take the source deployment as an input and discover metadata associated with deployed components of the source workload and their information technology topology that specifies the deployed components of the source workload and paths and inter-relationships of the deployed components and outputs the discovered metadata in terms of separate pattern streams, each pattern stream comprising a plurality of metadata;

the deployment manager in cooperation with a pattern deployment engine at the target deployment determines a closest starting-point template to be used for pattern-based target workload deployment;

a decision system to receive the outputs from the discovery engine and in cooperation with the deployment manager make a go or no-go determination based on the availability of suitable starting templates for each of the pattern streams whether to trigger pattern-based target workload deployment or to default to an image-based migration wherein pattern-based target workload deployment is triggered only when a go determination is made for each of the pattern streams; and

a residual migration and remediation system to determine whether the metadata discovered in the source workload carry any undiscovered source workload components not discovered as pattern metadata to find any undiscovered source workload components, to migrate the undiscovered source workload components to the target deployment by an image-based migration, to configure the undiscovered source workload components on top of the target deployment and to perform final remediation necessary to migrate the state of the target workload deployment to match that of the source workload deployment;

wherein the source deployment is deployed to the target deployment including modifications to the information technology topology to accommodate the workload in the target deployment.

2. The apparatus of claim 1 wherein the separate pattern streams are associated with an infrastructure configuration including hardware components and how the hardware components are connected, an operating system configuration including an operating system and how the operating system is connected with other software, a middleware configuration including middleware components and how the middleware components are connected, applications configuration and managed service configuration of the deployed source workload.

3. The apparatus of claim 1 further comprising a decision governor integrated with the decision support system that provides an interface to configure thresholds for a difference between the pattern streams and the starting templates as a result of the proposed method of migration, and feeds it as an input to the decision system.

4. The apparatus of claim 1 further comprising a deployment governor integrated with the deployment manager to allow the specification of digital alteration of the discovered IT topology of each pattern stream to introduce new functions into the target workload.

5. The apparatus of claim 1 wherein the decision support system determines the feasibility of pattern-based migration depending on whether the deployment manager is able to find a member of the pattern template library on the target pattern deployment engine that can be the starting point of pattern-based deployment of the target workload.

6. The apparatus of claim 1 wherein the deployment manager populates required parameters from the parameter streams to the chosen pattern template based on the discovered configurations, and commands the target pattern deployment engine to provision the target workload.

7. The apparatus of claim 1 wherein the target deployment is a cloud computing system.

8. A method for pattern-based migration of a source workload at a source deployment to a target workload at a target deployment comprising:

pointing a discovery engine to the source deployment;

discovering by the discovery engine metadata associated with deployed components of the source workload and information technology topology that specifies the deployed components of the source workload and paths and inter-relationships of the deployed components and classifying the discovered metadata in terms of separate pattern streams, each pattern stream comprising a plurality of metadata;

outputting the pattern streams to a decision system;

determining by a deployment manager in cooperation with a pattern deployment engine at the target deployment a closest starting-point template to be used for pattern-based target workload deployment;

receiving by a decision system pattern streams from the discovery engine and in cooperation with the deployment manager making a go or no-go determination based on the availability of the closest starting-point templates for each of the pattern streams whether to trigger pattern-based target workload deployment or to default to an image-based migration wherein pattern-based target workload deployment is triggered only when a go determination is made for each of the pattern streams;

populating by the deployment manager parameters from the pattern streams in the closest starting-point templates for each of the pattern streams;

provisioning the target deployment by the pattern deployment engine; and

determining by a residual migration and remediation system whether the metadata discovered in the source workload carry any undiscovered source workload components not discovered as pattern metadata to find any undiscovered source workload components, migrating the undiscovered workload components to the target deployment by an image-based migration, configuring the undiscovered source workload components on top of the target deployment and performing final remediation necessary to migrate the state of the target workload deployment to match that of the source workload deployment;

wherein the source deployment is deployed to the target deployment including modifications to the information technology topology to accommodate the workload in the target deployment; and

wherein the method is performed by one or more computing devices.

9. The method of claim 8 wherein the separate pattern streams are associated with an infrastructure configuration including hardware components and how the hardware components are connected, an operating system configuration including an operating system and how the operating system is connected with other software, a middleware configuration including middleware components and how the middleware components are connected, applications configuration and managed service configuration of the deployed source workload.

10. The method of claim 8 further comprising configuring by a decision governor thresholds for a difference between the pattern streams and the starting templates as a result of the proposed method of migration, and feeding the thresholds as an input to the decision system.

11. The method of claim 8 further comprising digitally altering by a deployment governor integrated with the deployment manager the discovered IT topology of each pattern stream to introduce new functions into the target workload.

12. The method of claim 8 further comprising performing by the residual migration and remediation system final remediation necessary to move a state of the target workload deployment to match that of the source workload deployment.

13. The method of claim 8 wherein the target deployment is a cloud computing system.

14. A computer program product for pattern-based migration of a source workload at a source deployment to a target workload at a target deployment comprising a computer readable storage medium having program instructions embodied therein, the computer instructions executable by one or more computer devices to cause the one or more computer devices to perform the method comprising:

pointing a discovery engine to the source deployment;

discovering by the discovery engine metadata associated with deployed components of the source workload and information technology topology that specifies the deployed components of the source workload and paths and inter-relationships of the deployed components and classifies the discovered metadata in terms of separate pattern streams, each pattern stream comprising a plurality of metadata;

outputting the pattern streams to a decision system;

determining by a deployment manager in cooperation with a pattern deployment engine at the target deployment a closest starting-point template to be used for pattern-based target workload deployment;

receiving by a decision system pattern streams from the discovery engine and in cooperation with the deployment manager making a go or no-go determination based on the availability of the closest starting-point templates for each of the pattern streams whether to trigger pattern-based target workload deployment or to default to an image-based migration wherein pattern-based target workload deployment is triggered only when a go determination is made for each of the pattern streams;

populating by the deployment manager parameters from the pattern streams in the closest starting-point templates for each of the pattern streams;

provisioning the target deployment by the pattern deployment engine; and

determining by a residual migration and remediation system whether the metadata discovered in the source workload carry any undiscovered source workload components not discovered as pattern metadata to find any undiscovered source workload components, migrating the undiscovered workload components to the target deployment by an image-based migration, configuring the undiscovered source workload components on top of the target deployment and performing final remediation necessary to migrate the state of the target workload deployment to match that of the source workload deployment;

wherein the source deployment is deployed to the target deployment including modifications to the information technology topology to accommodate the workload in the target deployment.

15. The computer program product of claim 14 wherein the separate pattern streams are associated with an infrastructure configuration including hardware components and how the hardware components are connected, an operating system configuration including an operating system and how the operating system is connected with other software, a middleware configuration including middleware components and how the middleware components are connected, applications configuration and managed service configuration of the deployed source workload.

16. The computer program product of claim 14 further comprising configuring by a decision governor thresholds for a difference between the pattern streams and the starting templates as a result of the proposed method of migration, and feeding the thresholds as an input to the decision system.

17. The computer program product of claim 14 further comprising digitally altering by a deployment governor integrated with the deployment manager the discovered IT topology of each pattern stream to introduce new functions into the target workload.

18. The computer program product of claim 14 further comprising performing by the residual migration and remediation system final remediation necessary to move a state of the target workload deployment to match that of the source workload deployment.

19. The computer program product of claim 14 wherein the target deployment is a cloud computing system.