Abstract: A platform we call an R-Cloud Data Protection Platform supports the ability to recover anything “as-a-Service” at a specified level of granularity. The approach splits data catalog information between the R-Cloud platform and R-Cloud Modules. It provides the ability to describe every as-a-Service related configuration and data hierarchy, their attributes, associations, relevance to data resilience and the associated methods required to protect and recover the different parts of the service and data. This enables the unique approach to cover all as-a-Service, from the simple ones like Google CloudSQL to the most complex ones having millions of dynamic and unstructured objects within.

Abstract: An application awareness system for a virtualized infrastructure. The application awareness system may use commands in standardized protocols to obtain data from virtual entities in the virtualized infrastructure. The data may be processed to indicate applications on specific virtual entities. The application awareness system may interact with those applications to gain information about the configuration of the application, or for a distributed application, components of the application on each of the plurality of virtual entities. These techniques may be applied to both virtual machines and containers, generating data that may be used in any of multiple management functions performed on the virtual infrastructure, such as backup, monitoring and resource allocation.

Abstract: An application awareness system for a virtualized infrastructure. The application awareness system may use commands in standardized protocols to obtain data from virtual entities in the virtualized infrastructure. The data may be processed to indicate applications on specific virtual entities. The application awareness system may interact with those applications to gain information about the configuration of the application, or for a distributed application, components of the application on each of the plurality of virtual entities. These techniques may be applied to both virtual machines and containers, generating data that may be used in any of multiple management functions performed on the virtual infrastructure, such as backup, monitoring and resource allocation.