The JBoss Data Grid, or Enterprisegrade Infinispan
summary
Productized JBoss Data Grid builds on Infinispan as a supportable, in‑memory distributed key‑value store that runs embedded or as a standalone server, offers replication, disk/JDBC/Cassandra/Hadoop/S3 persistence, elastic scaling and linear throughput, and a web admin console for management. Client protocols include REST, Hot Rod and memcached‑compatible, with roadmap items like cross‑DC failover, map‑reduce, zero‑downtime upgrades and single‑phase transactional protocols from the CloudTM research; Gartner predicts ~40% large org adoption by 2014.
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chapters (42)
- 0:00Introduction
- 0:32Speaker background
- 1:14JBoss Data Grid vs Infinispan
- 1:56Data grids mainstream
- 3:20Big Data drivers
- 5:47Cloud for Big Data
- 6:29What is a data grid
- 8:57Data grids beyond caching
- 10:19Key features
- 11:01Manageability
- 11:42Infinispan history
- 13:26Cloud TM project
- 15:34Transaction protocols
- 17:18Autonomous config
- 18:00JSR 107 caching
- 19:04JSR 347 APIs
- 20:07JSR 347 open source
- 21:29Infinispan architecture
- 23:13Library vs server mode
- 26:00Server protocols REST Memcached Hot Rod
- 29:28Hot Rod advantages
- 31:35Server vs library pros/cons
- 33:39Scalability Dynamo
- 35:47Durability mechanisms
- 38:36Consistency models
- 40:23Benchmarks graphs
- 41:49Elasticity demo
- 42:09JBoss Data Grid 6 features
- 44:16CDI Spring zero downtime
- 45:21Future outlook
- 45:41Resources links
- 46:24Q&A
- 46:48Server config
- 47:30Comparison with others
- 48:14Radar Gun benchmark
- 48:58JSR 107 vendors
- 50:24Network partitions
- 51:49Node failure detection
- 52:09Network splits consistency
- 52:54Network topologies
- 53:15Cloud multicast
- 53:36Closing
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