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

Technologie Formation

Inﬁnispan - the open source
data grid platform
•Mircea Markus
Saturday, 23 March 13

Who’s this guy?
•JBoss clustering: JBossCache, JGroups
•Lead Inﬁnispan
•JSR-350
•@inﬁnispan/@mirceamarkus
•inﬁnispan.blogspot.com
Saturday, 23 March 13

Agenda
•What is Inﬁnispan
•API
•Key features
•4 use cases
Saturday, 23 March 13

What is Inﬁnispan?
•Distributed, in memory, data structure
•Highly available
•Elastic
•Open source
Saturday, 23 March 13

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

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

Elasticity
•Expect
•Node additions
•Node removals
•Topology changes
•are totally consistent
•do not "stop the world"
Saturday, 23 March 13

API
•Key-value store
•java.util.concurrent.ConcurrentHashMap
•JSR-107 compliant
•CDI support
Saturday, 23 March 13

Key features
•Transactions
•Persistence
•Map/Reduce
•Querying
Saturday, 23 March 13

Transactions
•JTA transactions support
•XA or Synchronization based enlistment
•recovery!
•Local transactions (batching)
•Transactional modes
•optimistic
•pessimistic
Saturday, 23 March 13

Persistence/Cache Store
•Used for
•durability
•increased storage
•warm caches
•Various implementations
•jdbc, bdbje, ﬁle, cloud, remote/inﬁnispan, cassandra
•Extensible
Saturday, 23 March 13

Map/Reduce example
Saturday, 23 March 13

Querying
•Based on Hibernate Search/Lucene
•Objects in the grid are indexed
•index management
Saturday, 23 March 13

Use cases
•Local cache
•Cluster of caches
•Autonomous data store
•access protocols
•Geographical failover
Saturday, 23 March 13

Features of a local cache
•Eviction
•Expiry
•Write through, write behind
•Preloading
•Notiﬁcations
•Statistics
Saturday, 23 March 13

Local cache not good enough...
Saturday, 23 March 13

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

Client/Server protocols
•REST
•Memcached
•Hotrod
•proprietary
•java, C#, python, ruby
•others on the way..
Saturday, 23 March 13

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

JBoss Data Grid (JDG)
•JBoss Data Grid
•Build on top of Iniﬁnispan
•http://www.jboss.com/edg
Saturday, 23 March 13

Thank you!
•inﬁnispan.blogspot.com
•@inﬁnispan
•mirceamarkus.blogspot.com
•@mirceamarkus
Saturday, 23 March 13

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