Abstract:
Methods, systems, and articles for simultaneously maintaining copies of data in a data center and a cloud computing environment providing network based services. Synchronizing applications monitor modifications to data records made in the data center and the cloud computing environment. The synchronizing applications are also configured to convert modified records from the data center into a format compatible with databases in the cloud computing environment prior to updating the databases in the cloud computing environment, and vice versa.
Abstract:
A method and system for building a point-in-time snapshot of an eventually-consistent data store. The data store includes key-value pairs stored on a plurality of storage nodes. In one embodiment, the data store is implemented as an Apache® Cassandra database running in the “cloud.” The data store includes a journaling mechanism that stores journals (i.e., inconsistent snapshots) of the data store on each node at various intervals. In Cassandra, these snapshots are sorted string tables that may be copied to a back-up storage location. A cluster of processing nodes may retrieve and resolve the inconsistent snapshots to generate a point-in-time snapshot of the data store corresponding to a lagging consistency point. In addition, the point-in-time snapshot may be updated as any new inconsistent snapshots are generated by the data store such that the lagging consistency point associated with the updated point-in-time snapshot is more recent.
Abstract:
A method and system for building a point-in-time snapshot of an eventually-consistent data store. The data store includes key-value pairs stored on a plurality of storage nodes. In one embodiment, the data store is implemented as an Apache® Cassandra database running in the “cloud.” The data store includes a journaling mechanism that stores journals (i.e., inconsistent snapshots) of the data store on each node at various intervals. In Cassandra, these snapshots are sorted string tables that may be copied to a back-up storage location. A cluster of processing nodes may retrieve and resolve the inconsistent snapshots to generate a point-in-time snapshot of the data store corresponding to a lagging consistency point. In addition, the point-in-time snapshot may be updated as any new inconsistent snapshots are generated by the data store such that the lagging consistency point associated with the updated point-in-time snapshot is more recent.
Abstract:
Methods, systems, and articles for simultaneously maintaining copies of data in a data center and a cloud computing environment providing network based services. Synchronizing applications monitor modifications to data records made in the data center and the cloud computing environment. The synchronizing applications are also configured to convert modified records from the data center into a format compatible with databases in the cloud computing environment prior to updating the databases in the cloud computing environment, and vice versa.