Automatically implementing a specification of a data protection intent
A current configuration of one or more data management services is monitored. It is determined that the current configuration is insufficient to achieve a data protection intent indicated by a specification of the data protection intent. In response to determining that the current configuration is insufficient to achieve the data protection intent indicated by the specification of the data protection intent, the current configuration of the one or more data management services is modified in a manner to achieve the data protection intent indicated by the specification of the data protection intent.
1. A method, comprising:
monitoring a current configuration of one or more data management services;
executing a machine learning model that determines the current configuration is insufficient to achieve a data protection intent indicated by a specification of the data protection intent and determines one or more modifications to the current configuration that, when applied, would achieve the data protection intent indicated by the specification of the data protection intent; and
in response to determining that the current configuration is insufficient to achieve the data protection intent indicated by the specification of the data protection intent, modifying, based on the one or more modifications, the current configuration of the one or more data management services in a manner that achieves the data protection intent indicated by the specification of the data protection intent.
2. The method of claim 1 , wherein the data protection intent specifies at least a recovery point objective (RPO) and a recovery time objective (RTO).
3. The method of claim 2 , wherein connectivity issues associated with a primary site or a disaster recovery site cause the RPO or the RTO to be unachievable.
4. The method of claim 1 , wherein the data protection intent specification specifies a data pool that identifies one or more objects to be included in the data pool when a data management service of the one or more data management services is performed and the data management service to apply to the one or more objects to be included in the data pool.
5. The method of claim 4 , wherein the one or more objects to be included in the data pool share at least one of a tag, label, feature, and/or prefix.
6. The method of claim 4 , wherein a number of the objects included in the data pool has increased since a previous implementation of the one or more data management services.
7. The method of claim 6 , wherein the objects included in the data pool are virtual machines.
8. The method of claim 4 , wherein at least one of the one or more objects is a continuous data protection-enabled object.
9. The method of claim 4 , wherein the data management service is disaster recovery.
10. The method of claim 1 , wherein modifying the current configuration of the one or more data management services in the manner to achieve the data protection intent indicated by the specification of the data protection intent includes determining which of the one or more data management services are needed to implement a modified configuration to achieve the specified data protection intent.
11. The method of claim 1 , wherein modifying the current configuration of the one or more data management services in the manner to achieve the data protection intent indicated by the specification of the data protection intent includes determining a corresponding configuration for each of the determined one or more data management services.
12. The method of claim 1 , further comprising providing a notification that the current configuration of the one or more data management services is being modified.
13. The method of claim 12 , wherein the notification indicates how the current configuration of the one or more data management service is being modified.
14. A computer program product comprising non-transitory computer readable media storing computer instructions that, when executed, cause one or more processors to:
monitor a current configuration of one or more data management services;
execute a machine learning model that determines that the current configuration is insufficient to achieve a data protection intent indicated by a specification of the data protection intent and determines one or more modifications to the current configuration that, when applied, would achieve the data protection intent indicated by the specification of the data protection intent; and
in response to determining that the current configuration is insufficient to achieve the data protection intent indicated by the specification of the data protection intent, modify, based on the one or more determined modifications, the current configuration of the one or more data management services in a manner that achieves the data protection intent indicated by the specification of the data protection intent.
15. The computer program product of claim 14 , wherein the data protection intent specifies at least a recovery point objective (RPO) and a recovery time objective (RTO).
16. The computer program product of claim 15 , wherein connectivity issues associated with a primary site or a disaster recovery site cause the RPO or the RTO to be unachievable.
17. The computer program product of claim 14 , wherein the data protection intent specification specifies a data pool that identifies one or more objects to be included in the data pool when a data management service of the one or more data management services is performed and the data management service to apply to the one or more objects to be included in the data pool.
18. The computer program product of claim 17 , wherein the one or more objects to be included in the data pool share at least one of a tag, label, feature, and/or prefix.
19. The computer program product of claim 17 , wherein a number of the objects included in the data pool has increased since a previous implementation of the one or more data management services.
20. A system, comprising:
a memory configured to store instructions; and
one or more processors coupled to the memory and configured to execute the instructions to:
monitor a current configuration of one or more data management services;
execute a machine learning model that determines the current configuration is insufficient to achieve a data protection intent indicated by a specification of the data protection intent and determines one or more modifications that, when applied, would achieve the data protection intent indicated by the specification of the data protection intent; and
in response to determining that the current configuration is insufficient to achieve the data protection intent indicated by the specification of the data protection intent, modify, based on the one or more determined modifications, the current configuration of the one or more data management services in a manner that achieves the data protection intent indicated by the specification of the data protection intent.