The Cloud-natives are RESTless @ JavaOne
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The document discusses Akka, a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM. It describes key components of Akka including actors for concurrency, clusters for location-transparent resilient applications, persistence for event sourcing, and HTTP for asynchronous reactive servers. It also discusses the actor model of concurrent computation and related topics like reactive streams and advantages of asynchronous messaging.
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The Cloud-natives are RESTless @ JavaOne
- 2. Konrad `@ktosopl` Malawski Akka Core, Akka Persistence, Akka HTTP, Reactive Streams
- 3. The concurrent & distributed applications toolkit Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM
- 4. The concurrent & distributed applications toolkit Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM
- 5. Actors – Concurrency / high perf. messaging Cluster – Location transparent, resilient clusters Persistence – EventSourcing support (many DBs) HTTP – Fully Async & Reactive Http Server and much more (kafka, cassandra, testing, …)
- 6. http://cidrdb.org/cidr2005/papers/P12.pdf “Data on the Outside, versus Data on the Inside” Pat Helland
- 7. “Communication on the Outside, versus Communication on the Inside”
- 8. ”The actor model in computer science is a mathematical model of concurrent computation that treats actors as the universal primitives of concurrent computation. ” Wikipedia The Actor Model
- 9. An Actor and acts on them by: • Sending messages • Changing its state / behaviour • Creating more actors receives messages
- 10. An Actor A concurrency and distribution construct. an addressable, location-transparent, entity Show diagram showing people interacting with each other.
- 12. HTTP/2 “push” still needs a “pull” https://blog.cloudflare.com/announcing-support-for-http-2-server-push-2
- 13. Clusters, direct, p2p communication
- 14. Clusters, direct, p2p communication
- 15. Clusters, direct, p2p communication
- 16. Clusters, direct, p2p communication
- 17. Not Only JSON “The Internet is running in debug mode.” — Rüdiger Möller http://java-is-the-new-c.blogspot.de/2014/10/why-protocols-are-messy-concept.html
- 18. Not Only JSON: Example data MediaContent { media = Media { uri = "http://javaone.com/keynote.mpg" title = "Javaone Keynote" width = 640 height = 480 format = "video/mpg4" duration = 18000000 size = 58982400 bitrate = 262144 persons = ["Bill Gates", "Steve Jobs"] player = JAVA copyright = null } } images = [ Image { uri = "http://javaone.com/keynote_large.jpg" title = "Javaone Keynote" width = 1024 height = 768 size = LARGE } Image { uri = "http://javaone.com/keynote_small.jpg" title = "Javaone Keynote" width = 320 height = 240 size = SMALL } ]
- 19. Not Only JSON create ser deser total size protostuff 68 433 634 1067ns 239bytes protobuf 121 1173 719 1891 239 kryo-serializer 53 1480 1331 2810 286 thrift 95 1455 731 2186 349 . . . json/jackson/manual 52 1039 1228 2267 468 json/jackson/databind 54 1164 1866 3030 485 json/gson/databind 56 4667 4403 9070 486 xml/xstream+c-aalto 54 3310 6732 10042 525 xml/JAXB 54 4354 141333 145686 719 java-built-in 53 5046 23279 28325 889 Slide only to illustrate order-of-magniture differences. Don’t over-focus on numbers. All details here: https://github.com/eishay/jvm-serializers/wiki
- 20. Not Only JSON create ser deser total size protostuff 68 433 634 1067ns 239bytes protobuf 121 1173 719 1891 239 kryo-serializer 53 1480 1331 2810 286 thrift 95 1455 731 2186 349 . . . json/jackson/manual 52 1039 1228 2267 468 json/jackson/databind 54 1164 1866 3030 485 json/gson/databind 56 4667 4403 9070 486 xml/xstream+c-aalto 54 3310 6732 10042 525 xml/JAXB 54 4354 141333 145686 719 java-built-in 53 5046 23279 28325 889 Slide only to illustrate order-of-magniture differences. Don’t over-focus on numbers. All details here: https://github.com/eishay/jvm-serializers/wiki
- 21. Not Only JSON create ser deser total size protostuff 68 433 634 1067ns 239bytes protobuf 121 1173 719 1891 239 kryo-serializer 53 1480 1331 2810 286 thrift 95 1455 731 2186 349 . . . json/jackson/manual 52 1039 1228 2267 468 json/jackson/databind 54 1164 1866 3030 485 json/gson/databind 56 4667 4403 9070 486 xml/xstream+c-aalto 54 3310 6732 10042 525 xml/JAXB 54 4354 141333 145686 719 java-built-in 53 5046 23279 28325 889 Slide only to illustrate order-of-magniture differences. Don’t over-focus on numbers. All details here: https://github.com/eishay/jvm-serializers/wiki
- 22. Actually solving a real problem for fun and profit. Reactive Streams
- 23. Reactive Streams – why it all started
- 24. Reactive Streams – why it all started
- 25. Reactive Streams – why it all started ~2013: Reactive Programming becoming widely adopted on JVM. - Play introduced “Iteratees” - Akka (2009) had Akka-IO (TCP etc.) - Ben starts work on RxJava http://blogs.msdn.com/b/rxteam/archive/2009/11/17/announcing-reactive-extensions-rx-for-net-silverlight.aspx http://infoscience.epfl.ch/record/176887/files/DeprecatingObservers2012.pdf - Ingo Maier, Martin Odersky https://github.com/ReactiveX/RxJava/graphs/contributors https://github.com/reactor/reactor/graphs/contributors https://medium.com/@viktorklang/reactive-streams-1-0-0-interview-faaca2c00bec#.69st3rndy Teams discuss need for back-pressure in simple user API. Play’s Iteratee / Akka’s NACK in IO. } }A lot more people join discussions, Reactive Streams are born.
- 26. Advantages of Async Messaging
- 30. Time holding Connection AFAIK: Addressed by HTTP/2, since you can open “subStreams.”
- 31. Long running task, sync vs. async
- 32. Long running task, sync vs. async
- 33. Long running task, sync vs. async
- 35. Streaming from Akka HTTP
- 36. Streaming from Akka HTTP No demand from TCP = No demand upstream = Source won’t generate tweets
- 37. Streaming from Akka HTTP No demand from TCP = No demand upstream = Source won’t generate tweets =>
- 38. Streaming from Akka HTTP No demand from TCP = No demand upstream = Source won’t generate tweets => Bounded memory stream processing!
- 39. Only the tip of the iceberg
- 40. Akka Cluster and cluster tools Akka Streams async & back-pressured More tools in the toolbox
- 41. Further reading: Reactive Streams: reactive-streams.org Akka documentation: akka.io/docs Free O’Reilly report – very out soon. Get involved: sources: github.com/akka/akka mailing list: akka-user @ google groups gitter channel: https://gitter.im/akka/akka Contact: Konrad ktoso@lightbend.com Malawski http://kto.so / @ktosopl