Introduction to hazelcast
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Slides for the Introduction to hazelcast talk which I've given for Java User Group Graz at November 2014.
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Introduction to hazelcast
- 2. introduction distributed computing in-memory data grids hazelcast code samples demo internals q/a 2 agenda
- 3. about me 3 core developer at hazelcast holds bsc. computer engineering started programming some time ago, then turned into a career lives in beautiful istanbul interested in distributed systems
- 4. distributed computing 4 use of bunch of computers to solve a computational problem problem is divided into multiple tasks and they are solved by one or more computers computers communicate each other by sending messages
- 5. in-memory data grids 5 middleware software shared nothing architecture manages objects across distributed servers in the RAM ability to scale provides fault tolerance
- 6. why use an imdg? 6 performance - ram is faster flexibility - rich set of data structures operations - easy to scale/maintain
- 7. other imdg solutions 7 oracle coherence ibm extremescale vmware gemfire gigaspaces redhat infinispan gridgain terracotta
- 8. 8 what is ?
- 10. a company 10
- 11. a company 11 hazelcast enterprise edition management center enterprise support training / consulting offices in istanbul (r&d), palo alto(hq) and london
- 12. an open-source project 12 leading open-source in-memory data grid. dead simple distributed programming easy way to scale applications simple api built with in Istanbul
- 13. use cases 13 scaling your application sharing data across cluster partitioning data sending/receiving messages load balancing session replication parallel task processing on multiple machines …
- 14. how differs ? 14 apache licensed open source lightweight w/o any dependency ease of use and more fun !
- 15. 15 fact : every ~0.4 second a hazelcast node is started around the world a lot of developers :) who uses ?
- 16. who uses ? 16
- 17. 17 what is ? distributed impl. of Java Collections dynamic clustering, backup and failover transaction support ( two phase, XA) distributed execution framework map/reduce api distributed queries native Java, C#, C++ clients
- 18. starting a hazelcast instance 18
- 20. quick demo 20
- 21. data partitioning 21 Drawing by Benjamin Erb http://berb.github.io/diploma-thesis/original/resources/cons_hash.svg
- 29. aggregations 29
- 31. wan replication 31 • High availability
- 33. service provider interface ( SPI ) 33 roll your own services extend hazelcast based on your needs ! hierarchical lock service priority queue scheduled executor service distributed actors anything you can think of ! check out SPI section of the hazelcast documentation
- 34. session replication 34 servlet filter based just put hazelcast filter to your web.xml native tomcat/jetty plugins (enterprise)
- 36. near cache 36 client side node side
- 37. map/reduce 37
- 38. map/reduce 38
- 42. Thank you ! :) [email protected] 42 any questions ? we are hiring, check out hazelcast.com/careers