Abstract: Described herein are systems, methods, and software to manage multiple sellers of record in a cloud computing environment. In one example, a cloud management service can monitor resource usage in association one or more cloud service providers for each seller of record of a plurality of sellers of record for a customer organization. The cloud management service can further identify interface requirements for reporting the usage information to each of the sellers of record and can communicate the corresponding usage information to each of the sellers of record.

Abstract: At least two domains of a datacenter are registered. Each of the domains comprises at least one server. A global pool of identifiers is generated by the global management module. A logical configuration is generated by a global management module. The logical configuration takes the form of a global profile and allows for a workload to be processed at one or more the servers. A global identifier from the global pool of identifiers is associated with the global profile. The global profile is assigned to a server in a first of the at least two domains.

Abstract: At least two domains of a datacenter are registered. Each of the domains comprises at least one server. A global pool of identifiers is generated by the global management module. A logical configuration is generated by a global management module. The logical configuration takes the form of a global profile and allows for a workload to be processed at one or more the servers. A global identifier from the global pool of identifiers is associated with the global profile. The global profile is assigned to a server in a first of the at least two domains.

Abstract: At least two domains of a datacenter are registered. Each of the domains comprises at least one server. A global pool of identifiers is generated by the global management module. A logical configuration is generated by a global management module. The logical configuration takes the form of a global profile and allows for a workload to be processed at one or more the servers. A global identifier from the global pool of identifiers is associated with the global profile. The global profile is assigned to a server in a first of the at least two domains.

Abstract: A system for transactionally deploying content across multiple machines in a network environment automates and synchronizes secure and reliable distribution of digital assets to multiple network locations, allowing controlled provisioning and synchronization of code and content updates to live applications. A distributed architecture includes at least one receiver—a secure listener configured to process incoming distribution jobs—and at least one base server—a sender that may also act as a receiver. An administration interface allows administrative and reporting services and deployment management. Using the administrative interface, users are enabled to launch, simulate, schedule and monitor activities for any network location at any time. The system provides fan-out and multi-tiered deployment topologies expandable to hundreds of servers. Each deployment is fully transactional, permitting rollback of the system to it “last known good” state in the case of failure.

Abstract: A system for transactionally deploying content across multiple machines in a network environment automates and synchronizes secure and reliable distribution of digital assets to multiple network locations, allowing controlled provisioning and synchronization of code and content updates to live applications. A distributed architecture includes at least one receiver—a secure listener configured to process incoming distribution jobs—and at least one base server—a sender that may also act as a receiver. An administration interface allows administrative and reporting services and deployment management. Using the administrative interface, users are enabled to launch, simulate, schedule and monitor activities for any network location at any time. The system provides fan-out and multi-tiered deployment topologies expandable to hundreds of servers. Each deployment is fully transactional, permitting rollback of the system to it “last known good” state in the case of failure.