Abstract: A system identifies a list of frequently identified keywords, which are identified based on frequencies that each frequently identified keyword is in any backup document and frequencies that any backup document contains each frequently identified keyword. The system identifies a list of locally searched keywords, which a data protection system used for searching local backups. A machine learning model creates a ranked list of globally searched keywords, which multiple data protection systems used for searching global backups, wherein each globally searched keyword is weighted based on use in global searches that resulted in any keyword match and/or any backup restore. The system identifies terms from backups which match keywords from the frequently identified keywords, the locally searched keywords, and/or the globally searched keywords. The system enables content searches, based on indexing the matched terms, of the backups.

Abstract: Metadata includes runtime dependencies for services that form an application. Each runtime dependency includes one or more of the one or more services, unless it has no runtime dependencies. A first of the services is selected, based on the metadata, that does not have runtime dependencies or those runtime dependencies are operational. The selected service is started. Other embodiments are described and claimed.

Abstract: Metadata includes runtime dependencies for services that form an application. Each runtime dependency includes one or more of the one or more services, unless it has no runtime dependencies. A first of the services is selected, based on the metadata, that does not have runtime dependencies or those runtime dependencies are operational. The selected service is started. Other embodiments are described and claimed.