Section Contents

• Data Grid — The Data Grid (also known as Distributed Cache) allows deployment of all common cache topologies, including synchronous/asynchronous replication and partitioned cache with/without backup, based on an infrastructure of clustered spaces.
  • Database Cache and Persistency — How to work with GigaSpaces database cache and persistency, according to five main user scenarios.
  • Data Grid Topologies — GigaSpaces Data Grid topologies.
  • GigaSpaces Data Grid Concepts
  • Managing Data Grid Instances Manually
• Messaging Grid — The Messaging Grid provides a standard JMS implementation, and functions as a JavaSpaces-based messaging bus. It supports synchronous/asynchronous messaging, P2P, pub/sub, master-worker, and brokered messaging.
  • About Java Messaging Standard — Messaging types, messaging models, synchronous/asynchronous messaging, persistency, message acknowledgement and expiry.
  • Gigaspaces-Mule Integration Package — How the Mule messaging framework interacts with JavaSpaces, downloading and installing the GigaSpaces-Mule integration package.
  • Integrating IBM WSAD with GigaSpaces JMS — Configuring a generic JMS server, destinations and connection factory; setting listener port; defining the custom property.
  • Integrating WebLogic AS with GigaSpaces JMS — Updating startWebLogic.cmd and setDomainEnv.cmd; starting WL server; configuring Foreign JMS Server, JMSConnection Factories, JMSDestination.
  • JMS Configuration — Files that comprise the JMS configuration process; client configuration file; JMS configuration for space, container and cluster.
  • JMS vs. JavaSpaces — A list of scenarios in which one interface or the other is superior.