Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM based on the actor model. Reactive Streams is a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Akka Streams implements Reactive Streams and provides a way to express and run a chain of asynchronous processing steps acting on a sequence of elements with every step processed by one actor to support parallelism.

1. Reactive Streams using
Akka implementation
Rahul Kumar
Software Developer

2. Scalaz

3. Reactive Stream
Streams
Akka
Reactive

4. Reactive application ??
Responsive
event-driven
Scalable Resilient

5. Reactive Platform

6. What is Akka?
Akka is a toolkit and runtime for building
highly concurrent,
distributed,
and resilient message-driven
applications
on the JVM.
It is a concurrency abstraction
Akka is based on Actor Model.

8. Responsive
resilient
Scalable
event driven
loosely coupled
asynchronous
&
non-blocking

9. Ephemeral flow of data.
What is Stream ?

10. “You Can’t enter the same river twice.” — Heraclitus

11. If you subscribe a publisher later you will miss
initial elements..
possibly unbounded in size
GPS tracking system
gaming Server
Live stream of videoex :

12. focused on describing transformation.
Stream Processing :
Data in Data out

13. but it does not happen all the time .. :-(
Clusters
Network
Asynchronous
Back-Pressure
R.I.P

14. Goal :
- Back - pressured Asynchronous stream
processing
- and satisfy all reactive specification

15. Reactive Streams
Reactive Stream is an initiative to provide a standard for
asynchronous stream processing with non-blocking back
pressure on the JVM.
Implementations of the draft spec :
Akka Streams
Reactor (spring.io)
RxJava

16. Akka Stream
http://www.typesafe.com/
i.e. things like batching, buffering, thread-safety are handled behind the
scenes.
http://akka.io/
Akka Streams provides a way to express and run a chain of asynchronous
processing steps acting on a sequence of elements.
Every step is processed by one actor to support parallelism.
The user describes the “what” instead of the “how”,

17. Thank You
Q/A