Building Massively Scalable Applications With Akka
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The document discusses Akka, a framework for building scalable, event-driven, and fault-tolerant applications on the JVM, utilizing actor-based concurrency to address issues such as non-blocking concurrency and scalability. It highlights the simplicity of Akka's actor model which avoids explicit locking and state sharing, allowing developers to create lightweight, concurrent systems. The document also notes key features such as fault tolerance through actor supervision and the potential for high scalability on limited hardware.
Building Massively Scalable Applications With Akka
- 1. Building Massively Scalable Applications with Akka Vikas Hazrati Inphina Technologies 1
- 2. what? Platform for next generation, event driven, scalable and fault tolerant architectures on the JVM. 2
- 3. akka A actor-based concurrency framework Provides solutions for non blocking concurrency Written in Scala, also works in Java Open source Now at 1.3-RC2 (to be released this weekend) Lead developer and founder: Jonas Boner JRockit, AspectWerkz, AspectJ, Terracotta 3
- 4. issues concurrency scalability fault tolerance 4
- 5. why akka simpler concurrency event driven scale up or scale out fault tolerance remoting scala and java api 5
- 6. aha actors! message-Passing Concurrency share NOTHING isolated lightweight processes communicates through messages asynchronous and non-blocking 6
- 7. actors defined in the 1973 paper by Carl Hewitt popularized by Erlang alleviates the dev from explicit locking and thread management easy to write concurrent and parallel systems actors like objects BUT dont share state 7
- 8. actor models Thread-based Event-based • Very lightweight • can easily create millions on a single workstation (6.5 million on 4 G RAM) 8
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- 10. defining an actor 10
- 11. firing messages bang bang bang 11
- 12. send anything 12
- 13. fault tolerance let it crash linked set of actors 13
- 14. all for one 14
- 15. one for one 15
- 16. supervisor hierarchies 16
- 17. fault management 17
- 18. other concepts Akka STM Remote Actors Akka Serialization Persistence 18
- 19. problem statement 19
- 20. considerations 20
- 21. hmm... STM – X Serialization – X Persistence – X Remoting – ?/X 21
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- 25. issues maxing out on the os threads 25
- 26. dispatchers thread based – dedicated os thread bound event based – backed by pool of threads priority event based work stealing 26
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- 28. ala carte' 28
- 29. used in ... 29