Migrating workloads using active disaster recovery
Migrating workloads among execution environments including storage systems includes: selecting a target execution environment for supporting a workload and migrating the workload to the target execution environment utilizing active disaster recovery. Migrating the workload can include: assigning storage resources of the workload to a first pod; linking for replication, the first pod to a second pod of the target execution environment; and replicating the storage resources of the workload to the second pod of the target execution environment.
1. An apparatus comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:
selecting a target execution environment for supporting a workload; and
migrating the workload to the target execution environment utilizing active disaster recovery, including:
assigning storage resources of the workload to a first pod;
linking for replication, the first pod to a second pod of the target execution environment; and
replicating the storage resources of the workload to the second pod of the target execution environment.
2. The apparatus of claim 1 , wherein migrating the workload further comprises migrating data sources of the workload, replication policies, and connections.
3. The apparatus of claim 1 , wherein migrating the workload further comprises migrating the workload over a data communications network.
4. The apparatus of claim 1 , wherein the workload comprises one or more containers.
5. The apparatus of claim 1 , wherein the workload comprises one or more volumes and associated metadata.
6. The apparatus of claim 1 , further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:
identifying, in dependence upon on characteristics of the workload, one or more candidate execution environments that can support the workload; and
determining, for each candidate execution environment, costs associated with supporting the workload on the candidate execution environment, wherein selecting the target execution environment for supporting a workload further comprises selecting the target execution environment from the candidate execution environments for supporting the workload in dependence upon the costs associated with supporting the workload on each the execution environments.
7. The apparatus of claim 6 wherein identifying, in dependence upon on the characteristics of the workload, one or more execution environments that can support the workload further comprises identifying one or more execution environments that can meet predetermined performance requirements associated with the workload.
8. The apparatus of claim 1 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:
detecting a change to the workload; and
migrating the workload from the target execution environment to a new target execution environment.
9. The apparatus of claim 1 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:
predicting a change to the workload; and
migrating the workload from the target execution environment to a new target execution environment.
10. The apparatus of claim 1 further comprising:
detecting a change to the costs associated with supporting the workload on a particular execution environment; and
migrating the workload from the target execution environment to a new target execution environment.
11. The apparatus of claim 1 wherein:
identifying, in dependence upon on characteristics of the workload, one or more execution environments that can support the workload further comprises identifying, for a plurality of workloads, one or more execution environments that can support each workload in dependence upon on characteristics of each workload;
determining, for each execution environment, costs associated with supporting the workload on the execution environment further comprises determining, for a plurality of workload placement scenarios, cumulative costs associated with supporting each workload in accordance with each of the workload placement scenarios;
selecting, in dependence upon the costs associated with supporting the workload on each the execution environments, a target execution environment for supporting the workload further comprises selecting, in dependence upon the cumulative costs associated with supporting each workload in accordance with each of the workload placement scenarios, a target execution environment for supporting each workload; and
executing the workload on the target execution environment further comprises executing each workload on its selected target execution environment.
12. The apparatus of claim 1 wherein:
identifying, in dependence upon on characteristics of the workload, one or more execution environments that can support the workload further comprises identifying one or more execution environments that can support the workload in dependence upon on a workload fingerprint; and
determining, for each execution environment, costs associated with supporting the workload on the execution environment further comprises determining, for each execution environment, the costs associated with supporting the workload in dependence upon on the workload fingerprint.
13. The apparatus of claim 12 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the step of generating, for one or more of workloads, predicted characteristics of the one or more workloads.
14. A method comprising:
selecting a target execution environment for supporting a workload; and
migrating the workload to the target execution environment utilizing active disaster recovery, including migrating data sources of the workload, replication policies, and connections.
15. The method of claim 14 , wherein migrating the workload to the target execution environment further comprising:
assigning storage resources of the workload to a first pod;
linking for replication, the first pod to a second pod of the target execution environment; and
replicating the storage resources of the workload to the second pod of the target execution environment.
16. The method of claim 14 , wherein migrating the workload further comprises migrating the workload over a data communications network.
17. The method of claim 14 , wherein the workload comprises one or more containers.
18. The method of claim 14 , wherein the workload comprises one or more volumes and associated metadata.
19. The method of claim 14 , further comprising:
predicting a change to the workload; and
migrating the workload from the target execution environment to a new target execution environment.
20. The method of claim 14 , further comprising:
detecting a change to the costs associated with supporting the workload on a particular execution environment; and
migrating the workload from the target execution environment to a new target execution environment.