- Akka is a great fit for building scalable applications on Heroku due to its "let it crash" philosophy and ability to easily scale out by adding more dynos. Within each dyno, Akka actors can be used to build highly concurrent and resilient applications. - While remoting and clustering between dynos is not supported due to Heroku's HTTP-only architecture, Akka actors work well within individual dynos to handle requests and background jobs. - A simple Akka application can be deployed to Heroku with no code changes - Akka will automatically scale out by creating actor instances on each dyno. The talk

1. Build Cloud Applications with Akka
and Heroku
Havoc Pennington, Typesafe
@havocp

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3. What does Typesafe do?
Modernizing development on the Java Virtual Machine
– Scala: practical, superior alternative to Java with incremental migration path
– Akka: proven Actor model gives horizontal scale for both Java and Scala,
without the pain points of explicit threads
– Play: popular Rails-style convention-over-configuration lightweight web
framework for both Java and Scala
– All supported on Heroku, a cloud platform with the same developer-friendly point
of view
Developer-friendly, horizontally scalable,
with a pragmatic path to adoption
3

4. This Talk
This talk introduces Akka, an actor-based middleware
– Will assume that you know Java
– What is Akka and when would you use it?
– Will briefly introduce the Heroku architecture and how it can combine with Akka
to build scalable applications
4

5. Getting to Know You
How many of you are already familiar with
– Actor model
– Akka
– Heroku
=> Any specific topics you hope to hear about in this talk?
5

6. Talk Overview
1. The high level: what's Akka / what are actors
2. Intro to the Akka API
3. A few best practices for Actors
4. Heroku-specific notes and a simple Heroku example
6

7. What is Akka? (More detail on all of these coming up...)
• An application-organizing tool to simplify:
– concurrency
– fault tolerance
– scale-out / distribution
• An implementation of the “Actor model”
– The actor model is an alternative to explicit threads, originally used in the highly reliable Erlang
environment
• An API for both Java and Scala
– Many people use Akka but not Scala, even though Akka is written in Scala.
• Small
– core is just one no-dependencies jar

8. Selection of Akka Production Users

9. What is an “Actor”?
An object with state
Which receives one message at a time
(one thread at a time)

10. A Simple Code Example
... in Java:
public class HelloWorldActor extends UntypedActor {
public void onReceive(Object msg) {
getSender().tell(((String) msg) + “ World”);
}
}
... in Scala:
class HelloWorldActor extends Actor {
def receive = {
case msg : String => sender ! (msg + “ World”)
}
}

11. Actors can be seen as
Virtual Machines (nodes)
in Cloud Computing

12. Encapsulated and
decoupled black
boxes...

13. ... managing their own
memory and behavior

14. Communicating with
asynchronous non-
blocking messages

15. Now if we replace
with Actor
EVERYTHING will STILL HOLD for both LOCAL and
DISTRIBUTED Actors

16. Actors and Servers
You can think of an actor as a network service...
...if you could implement a network service in a few lines of code and
have 2.7 million of them per gigabyte of RAM.

17. Actors ...
Actors may be new to many in the Java community, but they are a tried-and-
true concept (Hewitt 1973) used for many years in telecom systems with 9
nines uptime.
Like Java EE servlets and session beans, Actors is a model for organizing your
code that keeps many “policy decisions” separate from the business logic.
Unlike servlets and session beans, Actors are lightweight (< 300 bytes, no
thread-per) and dynamic (create/destroy them easily in code)

18. Actors can replace...
 a thread
 an object instance or component
 a callback or listener
 a singleton or service
 a router, load-balancer, or pool
 a Java EE Session Bean or Message-Driven Bean

19. Solution for Concurrent Programming
• Developer writes an object, called an Actor, which handles messages.
• Each actor instance runs in only one thread at a time, so no synchronization is
required for actor state.
• Akka dispatcher schedules actors on threads – or even on multiple machines
– as needed. Can have millions of actors, an actor does not “use up” a thread.
• Mutable state is safely single-threaded.
• Easier for programmers to create reliable concurrent processing.
• Many sources of contention, races, locking and dead-locks are removed.
• No need to use locks or java.util.concurrent – at all. Even though you're
using mutable state, it's encapsulated in actors.
19

20. Separation of Concerns
• “Business logic” does not concern itself with the
concurrency mechanism or scheduling. Just implement
what you'd like to happen in response to each message.
• Outside your business logic, configure for example:
– Dispatch and execution (thread pool, event loop)
– Fault tolerance (what happens when an actor throws an exception?)
– Remoting
– Load balancing
20

21. So That's What Actors Are...
Next up, Akka details: assembling actors, messages, ActorRef, ActorSystem,
supervision, and remoting into an application.
Two questions about what you've seen so far?
public class HelloWorldActor extends UntypedActor {
public void onReceive(Object msg) {
getSender().tell(((String) msg) + “ World”);
}
}
class HelloWorldActor extends Actor {
def receive = {
case msg : String => sender ! (msg + “ World”)
}
}

22. Touring an Akka Application

23. All the code.
public class Greeting implements Serializable {
public final String who;
public Greeting(String who) { this.who = who; }
}
public class GreetingActor extends UntypedActor {
LoggingAdapter log = Logging.getLogger(getContext().system(), this);
public void onReceive(Object message) throws Exception {
if (message instanceof Greeting)
log.info("Hello " + ((Greeting) message).who);
}
}
}
ActorSystem system = ActorSystem.create("MySystem");
ActorRef greeter = system.actorOf(new Props(GreetingActor.class), "greeter");
greeter.tell(new Greeting("Charlie Parker"));
Explanation coming up...

24. The same in Scala...
case class Greeting(who: String)
class GreetingActor extends Actor with ActorLogging {
def receive = {
case Greeting(who) => log.info("Hello " + who)
}
}
val system = ActorSystem("MySystem")
val greeter = system.actorOf(Props[GreetingActor], name = "greeter")
greeter ! Greeting("Charlie Parker")
Explanation coming up...

25. ActorSystem
Every Akka application instantiates at least one ActorSystem
Akka has no global state; all state is associated with the ActorSystem
The ActorSystem includes:
• a configuration
• the dispatcher (thread pool)
• a hierarchical tree of actors

26. Unpacking Actor Creation
You may have noticed:
ActorRef greeter = system.actorOf(new Props(GreetingActor.class), "greeter");
• Props defines how to create an actor
• “greeter” is the name of the actor in the hierarchy
• ActorRef is a sort of “smart pointer” handle...

27. ActorRef
Because actors may be relocated in a cluster, or restarted if they fail,
you NEVER access the Actor itself.
Instead, actors are created inside an ActorRef, which always refers to
the same “conceptual” actor even if that actor is relocated or
restarted.
ActorRef ensures safety: you can send messages and that's all.
public class GreetingActor extends UntypedActor {
ActorRef contains an instance of this Actor subclass

28. Messages go through the ActorRef
ActorRef greeter = system.actorOf(new Props(GreetingActor.class), "greeter");
greeter.tell(new Greeting("Charlie Parker"));
val greeter = system.actorOf(Props[GreetingActor], name = "greeter")
greeter ! Greeting("Charlie Parker")

29. Messages
Should be immutable unless you want to have problems.
Should be serializable to enable remoting.
Can be any object. Strings for quick-and-dirty demos. Scala case
classes are perfect, in Java there's a little more work.
public class Greeting implements Serializable {
public final String who;
public Greeting(String who) { this.who = who; }
}
case class Greeting(who: String)

30. Hierarchy
/Foo
Foo Bar
/Foo/A
A C A
/Foo/A/B
B E C
B
/Foo/A/D D

31. Building Hierarchy
From inside one actor, you just create another actor. Use:
context.actorOf(..., “foo”)
Rather than:
system.actorOf(..., “foo”)
“context” is a field the Actor base class provides to its subclasses.
Best practice: avoid toplevel actors when possible.

32. Supervision
When actors create children, they become the fault handlers for
those children. (It's just like a real family!)
Parents are notified when their children fail, so they can take
action.
Why?

33. Handling Failure in Typical OO Code
Each thread has to handle errors and “keep itself alive”
No global organization of error handling ...
• defensive programming
• tangled with business logic
• scattered around the code

34. Which components have
critically important state and
explicit error handling?

36. Supervision Factors Out Fault Handling
“Let it crash” philosophy; let the supervisor deal with it

37. Error
Kernel

38. Java Supervisor
class Supervisor extends UntypedActor {
private SupervisorStrategy strategy = new OneForOneStrategy(
10,
Duration.parse("1 minute"),
new Function<Throwable, Directive>() {
@Override public Directive apply(Throwable t) {
if (t instanceof ArithmeticException) return resume();
else if (t instanceof NullPointerException) return restart();
else return escalate();
}
});
@Override public SupervisorStrategy supervisorStrategy() {
return strategy;
}
ActorRef worker = context.actorOf(new Props(Worker.class));
public void onReceive(Object message) throws Exception {
if (message instanceof Integer) worker.forward(message);
}
}

39. Scala Supervisor
class Supervisor extends Actor {
override val supervisorStrategy =
OneForOneStrategy(maxNrOfRetries = 10, withinTimeRange = 1 minute) {
case _: ArithmeticException => Resume
case _: NullPointerException => Restart
case _: Exception => Escalate
}
val worker = context.actorOf(Props[Worker])
def receive = {
case n: Int => worker forward n
}
}

40. Supervisee Hooks
class Worker extends Actor {
...
override def preRestart(
reason: Throwable, message: Option[Any]) = {
... // clean up before restart
}
override def postRestart(reason: Throwable) = {
... // init after restart
}
}

41. Remoting
Remote actors have a different kind of ActorRef
(remember, ActorRef's job is to abstract the Actor instance and its location)
An actor can be made remote in config, with no code changes:
akka {
actor {
provider = akka.remote.RemoteActorRefProvider
deployment {
/Greeter {
remote = akka://MySystem@hostname1:2552
}
}
}
}
(also possible to do it in code)

42. Changing Behavior
When an actor gets a message, it may choose to change its behavior
(i.e. adopt a new message handler)
context.become(new Procedure[Object]() {
void apply(Object msg) {
// new body
if (msg instanceof NewMessage) {
NewMessage newMsg = (NewMessage)msg;
}
...
Java
}
});
context become {
// new body
case NewMessage => Scala
...
}

43. Why Change Behavior?
Ideas
1. State machine
2. Change to an actor pool or router on the fly according to load
3. Implement graceful degradation
4. ...

44. Quick Note: Akka Futures
• Not the main gist of this talk, but Akka 2.0 includes an incredibly useful Future
class. In Scala 2.10 / Akka 2.1, this class moves to the Scala standard library.
• Unlike Java Future, Akka Future is nonblocking: it has a callback/listener
model.
• Akka includes utilities for converting Future to a message to an actor and
vice-versa.
• Check out http://doc.akka.io/docs/akka/2.0.1/scala/futures.html and
http://doc.akka.io/docs/akka/2.0.1/java/futures.html

45. Some Akka Best Practices

46. Create Lots of Actors
Actors are not heavy like threads, they are tiny like objects
 Create an actor for every request? No problem
 Create a transient actor inline just to handle a single message?
Go for it
 Actor tree should be deep, not shallow

47. Actors Do Only One Thing
Single responsibility principle
 Keeps code clear
 Lets you add supervision / routing / distribution to any single
thing
 Eases debugging

48. Supervision
Each non-leaf node will be supervising its children
 Only supervise one type of child (create intermediate actors to
group children by type)
 Don't mix supervision with other actor tasks

49. No Blocking!
It ties up a thread and causes MASSIVE WASTE of system
resources
If you must block to use some API, give the blocking code a
separate thread pool and isolate it behind an Actor or Future

50. Name Your Actors
If nothing else, anonymous actors means inscrutable logs
Actors can be referred to by name

51. Akka on Heroku

52. How Heroku Works
(super-short version)
 You tell it how to start a process (in this case the Java Virtual
Machine)
 It automatically runs N copies of the process, one per virtual Linux
instance (the Linux instances are called Dynos)
 When the process crashes, automatically creates a new dyno
 Apps must be web apps (must listen on HTTP port) though they
can have background jobs
 No way to listen on other ports
 Services such as databases are available but don't run on dynos...
they are services available to the dynos

53. Some Akka/Heroku Similarities
 Design for scale out
 “Let it crash” (just restart the Dyno or the Actor)
 Ease of use

54. Akka Just Works on Heroku
Within each dyno, just create actors!
https://github.com/havocp/dreamforce-akka-example

55. Demo
Let's see Akka on Heroku in action.

56. One Important Caveat
• Remoting/Clustering doesn't work on dynos, because they can only listen on
HTTP.
• i.e. you need to use Heroku clustering, not Akka clustering.
• You can communicate among nodes using many data store and message
queue services available as Heroku add-ons.
– RabbitMQ
– MongoDB
– ...

57. Some Recap
• Akka is an implementation of the Actor model for both Java and Scala.
• Actors encapsulate mutable state with the guarantee of one message at a time.
• Actor instances don't need to do any locking or think about threads, eliminating a whole
class of bugs and mental overhead.
• The magic comes from the dispatcher, which (by default) combines an event-driven loop
with a thread pool for scalability.
• A single JVM can host millions of actors – far more actors than threads.
• Akka actor jar is small, no dependencies, easy to embed
• Akka comes with a complete toolkit for distributed, fault-tolerant computing, built on actors
as a base.

58. Akka in Summary
• A way to structure an application
• Three problems addressed
– Concurrency
– Fault Tolerance
– Distribution / Remoting
• Small, easy-to-embed, no-dependencies library

59. • Follow us @Typesafe on Twitter, or typesafe.com
• Check out the extensive docs on http://akka.io
• Try writing some Akka code!