Abstract: A platform for manipulating data associated with defining, deploying, and administering distributed server systems utilizes a structured data model with a flexible replication mechanism, a set of schemas, and an object model to manipulate system topology, configuration (settings), and policies. A scoping mechanism for characteristics of the settings, policies, and resolution is provided in addition to the data model along with an authorization mechanism for single and multi-tenant environments.

Abstract: Described are embodiments directed at providing resilient services using architectures that have a number of failover features including the ability to handle failover of an entire data center. Embodiments include a first server pool at a first data center that provides client communication services. The first server pool is backed up by a second server pool that is located in a different data center. Additionally, the first server pool serves as a backup for the second server pool. The two server pools thus engage in replication of user information that allows each of them to serve as a backup for the other. In the event that one of the data centers fails, requests are rerouted to the backup server pool.

Abstract: A platform for manipulating data associated with defining, deploying, and administering distributed server systems utilizes a structured data model with a flexible replication mechanism, a set of schemas, and an object model to manipulate system topology, configuration (settings), and policies. A scoping mechanism for characteristics of the settings, policies, and resolution is provided in addition to the data model along with an authorization mechanism for single and multi-tenant environments.

Abstract: Components of a distributed server system are configured through replicating configuration data from a central configuration store to server machines. Configuration data is placed in globally identifiable containers or batches. A master replication agent service and a file transfer agent service running in conjunction with a central data storage unit are responsible for replicating configuration data within the batches to other machines in the deployment. A replica replication agent service running on the individual machines updates its own state and posts its latest status back to the central replication services, which upon receiving the status from every machine pushes changes to synchronize the machines with the latest configuration in central store.