webMethods Optimize
For maximum performance, Optimize uses Terracotta to cache much of the data it uses in support of business activity monitoring. Data that it caches includes:
Metadata such as dimension definitions, rule definitions, and KPI definitions
Raw data that is provided by data collectors for analysis
Readings, statistics, and other results produced during monitoring
Messages and notifications related to the handling of events
Optimize also uses Terracotta for Analytic Engine clustering. Analytic Engine clustering distributes the Optimize information processing load across multiple Analytic Engines, either to facilitate system high availability or to maximize Analytic Engine data throughput. When you cluster Analytic Engines, the members of the cluster share data using caches on the Terracotta Server Array. Each Analytic Engine in the cluster connects to the Terracotta Server Array to store and retrieve items from the shared caches.
For more information about how
Optimize uses
Terracotta for clustering, see the clustering section in
Configuring BAM. For more information about the caches that
Optimize uses during business activity monitoring, see
System Caches Used by the
webMethods Product Suite .