Content with label scalability in Coherence 3.4 User Guide (See content from all spaces)
Related Labels: latency , reliability , cluster , availability , partition , core-concept , manageability , performance , serviceability , testing

Cluster your objects and your data Coherence is an essential ingredient for building reliable, highscale clustered applications. The term clustering refers to the use of more than one server to run an application, usually for reliability and scalability purposes. Coherence provides all of the necessary capabilities for applications ...

Evaluating Performance and Scalability section describes evaluating Coherence performance with respect to scalability, latency, and throughput. This section contains the following information: Setting Expectations The Coherence distributed caches will often be evaluated with respect to preexisting local caches. The local caches generally take the form of inprocesses ...

Scaling Out Your Data Grid Aggregations Linearly section contains the following information:   Overview Coherence provides a data grid Provide a Data Grid by dynamically, transparently and automatically partitioning Partitioned Cache Service the data set across all storage enabled nodes in a cluster. We have ...