Abstract: Disaster recovery resource provisioning is provided. Infrastructure resource objects are grouped into a plurality of resource pools based on resource characteristics of each respective infrastructure resource object. A set of resource capabilities is provided for seamless resource provisioning for each resource pool in the plurality of resource pools. A class of service is mapped to a resource pool corresponding to a workload spread across multiple environments considering primary workload production and secondary disaster recovery requirements. Resources are automatically provisioned from the class of service required in providing disaster recovery for the workload based on characteristics of the workload, cost, business needs, and service level agreement metrics corresponding to the disaster recovery.

Abstract: Cyber resiliency of application data is provided. An air gapped network is established for storing a point-in-time copy of application data corresponding to a workload running on a production infrastructure to decrease continuous network exposure of the point-in-time copy on a secondary infrastructure. A set of point-in-time copies is selected for testing the application data corresponding to the workload for validation on the secondary infrastructure. The set of point-in-time copies are validated on a periodic basis by applying cyberattack forensics, deep scanning, malware detection, and application level validation tests. An appropriate point-in-time copy is identified in the set of point-in-time copies to recover the application data corresponding to the workload. The application data corresponding to the workload are recovered to provide the cyber resiliency of the application data during cyberattack using the appropriate point-in-time copy.

Abstract: Disaster recovery resource provisioning is provided. Infrastructure resource objects are grouped into a plurality of resource pools based on resource characteristics of each respective infrastructure resource object. A set of resource capabilities is provided for seamless resource provisioning for each resource pool in the plurality of resource pools. A class of service is mapped to a resource pool corresponding to a workload spread across multiple environments considering primary workload production and secondary disaster recovery requirements. Resources are automatically provisioned from the class of service required in providing disaster recovery for the workload based on characteristics of the workload, cost, business needs, and service level agreement metrics corresponding to the disaster recovery.

Abstract: Cyber resiliency of application data is provided. An air gapped network is established for storing a point-in-time copy of application data corresponding to a workload running on a production infrastructure to decrease continuous network exposure of the point-in-time copy on a secondary infrastructure. A set of point-in-time copies is selected for testing the application data corresponding to the workload for validation on the secondary infrastructure. The set of point-in-time copies are validated on a periodic basis by applying cyberattack forensics, deep scanning, malware detection, and application level validation tests. An appropriate point-in-time copy is identified in the set of point-in-time copies to recover the application data corresponding to the workload. The application data corresponding to the workload are recovered to provide the cyber resiliency of the application data during cyberattack using the appropriate point-in-time copy.

Abstract: A system and method for proactively and intelligently scheduling Disaster Recovery (DR) drill(s)/test(s) for application, a set of applications or entire site in a computing system environment, the system comprising: one or more Drill Intelligence Modules logically connected to one or more Production Sites and one or more Disaster Recovery Sites, one or more Replication Systems logically connected to said Drill Intelligence Module, said Production Site and said Disaster Recovery Site, a Network connecting said Drill Intelligence Module with the Production Site, said Disaster Recovery Site and said Replication system wherein said Drill Intelligence Module is provided with at least one Configuration Monitoring Module, at least one Application Load Monitoring Module, at least one Drill Tracker Module and at least one Drill Advisor Module.

Abstract: A system and method for proactively and intelligently scheduling Disaster Recovery (DR) drill(s)/test(s) for application, a set of applications or entire site in a computing system environment, the system comprising: one or more Drill Intelligence Modules logically connected to one or more Production Sites and one or more Disaster Recovery Sites, one or more Replication Systems logically connected to said Drill Intelligence Module, said Production Site and said Disaster Recovery Site, a Network connecting said Drill Intelligence Module with the Production Site, said Disaster Recovery Site and said Replication system wherein said Drill Intelligence Module is provided with at least one Configuration Monitoring Module, at least one Application Load Monitoring Module, at least one Drill Tracker Module and at least one Drill Advisor Module.