Infinispan – the open source data grid platform by Mircea Markus
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This presentation describes what the project is and focuses on the main scenarios in which the audience can make use of it. Mircea Markus, project’s lead and co-founder, will give you an overview of the Infinispan ecosystem from which you’ll take home: - what Infinispan is - the main use cases in which you can benefit from it - its key features and differentiators in the data grid wold
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Infinispan – the open source data grid platform by Mircea Markus
- 1. Saturday, 23 March 13
- 2. Infinispan - the open source data grid platform •Mircea Markus Saturday, 23 March 13
- 3. Who’s this guy? •JBoss clustering: JBossCache, JGroups •Lead Infinispan •JSR-350 •@infinispan/@mirceamarkus •infinispan.blogspot.com Saturday, 23 March 13
- 4. Agenda •What is Infinispan •API •Key features •4 use cases Saturday, 23 March 13
- 5. What is Infinispan? •Distributed, in memory, data structure •Highly available •Elastic •Open source Saturday, 23 March 13
- 6. Distributed data structure Storage Engine (RAM +Overflow) Transaction Query Map/Reduce Monitoring Transport (JGroups) Memcached Hotrod Rest Node (JVM process) Storage Engine (RAM +Overflow) Transaction Query Map/Reduce Monitoring Transport (JGroups) Memcached Hotrod Rest Node (JVM process) TCP/UDP RemoteClient TCP TCP Saturday, 23 March 13
- 7. High availability •Memory is volatile •Make redundant copies •Total replication (Replication Mode) •Partial replication (Distribution Mode) •numOwners •Topology changes •Node will crash! •Re-arrange state Saturday, 23 March 13
- 8. Elasticity •Expect •Node additions •Node removals •Topology changes •are totally consistent •do not "stop the world" Saturday, 23 March 13
- 9. API •Key-value store •java.util.concurrent.ConcurrentHashMap •JSR-107 compliant •CDI support Saturday, 23 March 13
- 11. Transactions •JTA transactions support •XA or Synchronization based enlistment •recovery! •Local transactions (batching) •Transactional modes •optimistic •pessimistic Saturday, 23 March 13
- 12. Persistence/Cache Store •Used for •durability •increased storage •warm caches •Various implementations •jdbc, bdbje, file, cloud, remote/infinispan, cassandra •Extensible Saturday, 23 March 13
- 13. Map/Reduce example Saturday, 23 March 13
- 16. Querying •Based on Hibernate Search/Lucene •Objects in the grid are indexed •index management Saturday, 23 March 13
- 17. Use cases •Local cache •Cluster of caches •Autonomous data store •access protocols •Geographical failover Saturday, 23 March 13
- 18. Local cache Saturday, 23 March 13
- 19. Features of a local cache •Eviction •Expiry •Write through, write behind •Preloading •Notifications •Statistics Saturday, 23 March 13
- 20. Local cache not good enough... Saturday, 23 March 13
- 21. Cluster of caches Saturday, 23 March 13
- 22. Some limitations still •Client is affected by cache topology changes •Shared resources •Tier management •incompatible JVM tuning •security •garbage collection •Non-JVM clients Saturday, 23 March 13
- 23. Cache servers Saturday, 23 March 13
- 24. Client/Server protocols •REST •Memcached •Hotrod •proprietary •java, C#, python, ruby •others on the way.. Saturday, 23 March 13
- 25. Geographic failover Infinispan Node Infinispan Node Infinispan Cluster Infinispan Node London Infinispan Node Infinispan Node Infinispan Cluster Infinispan Node New York(Active) Infinispan Node Infinispan Node Infinispan Cluster Infinispan Node San Francisco Migrate Data Migrate Data Migrate Data Saturday, 23 March 13
- 26. JBoss Data Grid (JDG) •JBoss Data Grid •Build on top of Inifinispan •http://www.jboss.com/edg Saturday, 23 March 13