Abstract: A computer-implemented method is disclosed. The method includes: detecting a trigger condition associated with a data record based on monitoring data record operations in connection with the data record; in response to detecting the trigger condition, generating a first message object for the data record, the first message object being associated with at least one compatible access channel; storing the first message object in a memory, the first message object being stored in association with a set of one or more message objects for the data record, wherein the first set defines an order for the one or more message objects; detecting a data record operation via a first access channel; retrieving, from the memory, at least one message object of the set that is associated with the first access channel; and causing the at least one message object to be delivered via the first access channel.

Abstract: Energy consumption analytics of a cloud based service is provided. An application such as a power analytics application monitors power consumption data of a server of the cloud based service. The power consumption data of the server is captured in a data file, a data store, a temporary storage, etc. The power consumption data is analyzed to detect power consumption metrics for the server. The power consumption metrics are presented in a business intelligence data structure.

Abstract: Energy consumption analytics of a cloud based service is provided. An application such as a power analytics application monitors power consumption data of a server of the cloud based service. The power consumption data of the server is captured in a data file, a data store, a temporary storage, etc. The power consumption data is analyzed to detect power consumption metrics for the server. The power consumption metrics are presented in a business intelligence data structure.

Abstract: An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

Abstract: An application provides cloud computing master data management. The application determines a rank associated with received server information from a server. The source rank is adjusted according to evaluation of server information against naming convention standards. The source rank is used in determining a category matching the server information. An assigned category includes instructions to configure assets of a server. The application assembles configuration information from the assigned category and provides the configuration information to the server.

Abstract: An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

Abstract: An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

Abstract: An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

Abstract: An application provides cloud computing master data management. The application determines a rank associated with received server information from a server. The source rank is adjusted according to evaluation of server information against naming convention standards. The source rank is used in determining a category matching the server information. An assigned category includes instructions to configure assets of a server. The application assembles configuration information from the assigned category and provides the configuration information to the server.

Abstract: The present invention extends to methods, systems, and computer program products for creating and using applicable information technology maps. Defined rules that indicate how information technology services interrelate to other computing components in the information technology infrastructure are received. A specified level of detail is selected, from among one or more levels of detail in taxonomy for the information technology infrastructure, for presenting the service map of the information technology service. Ownership for components that are to be presented in the service map is associated with specified responsible entities. The service map is created with the specified level of detail. The service map can then be accessed and utilized to discretely apply a process theory to the information technology infrastructure.