~/talk

The JBoss Data Grid, or Enterprisegrade Infinispan

Talkat JDD 2012 · 2012-10-25..10-26· [databases, distributed-systems]
slides:none on file

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.

AI-written summary · about

  1. 0:00Introduction
  2. 0:32Speaker background
  3. 1:14JBoss Data Grid vs Infinispan
  4. 1:56Data grids mainstream
  5. 3:20Big Data drivers
  6. 5:47Cloud for Big Data
  7. 6:29What is a data grid
  8. 8:57Data grids beyond caching
  9. 10:19Key features
  10. 11:01Manageability
  11. 11:42Infinispan history
  12. 13:26Cloud TM project
  13. 15:34Transaction protocols
  14. 17:18Autonomous config
  15. 18:00JSR 107 caching
  16. 19:04JSR 347 APIs
  17. 20:07JSR 347 open source
  18. 21:29Infinispan architecture
  19. 23:13Library vs server mode
  20. 26:00Server protocols REST Memcached Hot Rod
  21. 29:28Hot Rod advantages
  22. 31:35Server vs library pros/cons
  23. 33:39Scalability Dynamo
  24. 35:47Durability mechanisms
  25. 38:36Consistency models
  26. 40:23Benchmarks graphs
  27. 41:49Elasticity demo
  28. 42:09JBoss Data Grid 6 features
  29. 44:16CDI Spring zero downtime
  30. 45:21Future outlook
  31. 45:41Resources links
  32. 46:24Q&A
  33. 46:48Server config
  34. 47:30Comparison with others
  35. 48:14Radar Gun benchmark
  36. 48:58JSR 107 vendors
  37. 50:24Network partitions
  38. 51:49Node failure detection
  39. 52:09Network splits consistency
  40. 52:54Network topologies
  41. 53:15Cloud multicast
  42. 53:36Closing
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