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EVENT‐DRIVEN‐
ARCHITECTURE ON
AWS USING AKKA
Software Engineer @firstbird
Contact me: @pfeiffer_d_
DANIEL PFEIFFER
THE JOURNEY OF EVENTS
that are stored with Akka Persistence
to be then distributed via AWS
to be consumed with Akka Stream
what comes after that
THE EXAMPLE
DOMAIN DRIVEN DESIGN
We are talking about Aggregates and Events
EVENT SOURCING
"Capture all changes to an application
state as a sequence of events" -
Martin Fowler, 2005
CQRS
"Asking a question should not change
the answer." - Bertrand Meyer, 2012
THE DIFFERENCE
PERSISTENTACTOR
class TimeEntryAggregate(id: String) extends PersistentActor{
override def persistenceId: String = ???
override def receiveCommand: Receive = ???
override def receiveRecover: Receive = ???
}
A PersistentActorclass represents one DDD
aggregate.
class TimeEntryAggregate(id: String) extends PersistentActor{
...
override def persistenceId: String = s"time-entry-$id"
...
}
A PersistentActorreceives commands and
persists events.
case class CreateTimeEntry(
begin: DateTime,
end: DateTime
)
case class TimeEntryCreated(
begin: DateTime,
end: DateTime,
sequenceNr: Long
)
A PersistentActorreceives commands and
persists events.
class TimeEntryAggregate(id: String) extends PersistentActor{
...
override def receiveCommand: Receive =
case CreateTimeEntry(start, end) =>
val event = TimeEntryCreated(start,end, lastSequenceNr + 1)
persist(event){e =>
// update internal state
// here we go after the event is persisted
}
}
...
}
A PersistentActorrecovers from the journal
class TimeEntryAggregate(id: String) extends PersistentActor{
...
override def receiveRecover: Receive = {
case TimeEntryCreated(start,end) => // update internal state
}
...
}
STORING EVENTS TO A JOURNAL
IS NICE, BUT ...
others may be as well interested, so we have to
distribute them.
WITHIN ONE JVM WE COULD...
use Akka EventStreamto publish events ...
class TimeEntryActor() extends PersistentActor{
...
persist(event){e =>
context.system.eventStream.publish(e)
}
...
}
... and subscribe from interested actors
class EventConsumer extends Actor{
override def preStart: Unit = {
context.system.eventStream.subscribe(classOf[TimeEntryActor.TimeEntry
}
override def receive: Receive = {
case e: TimeEntryCreated => //do something with that event
}
}
HOW DO I INTERACT WITH MY
AGGREGATES?
DON'T CALL ME! CALL MY
OFFICE!
EXAMPLE 1
BUT WE WANT TO BE COOL
DISTRIBUTED SYSTEMS ARE
HARD
WE WANT TO MAKE THEM
EASIER
INTRODUCE A MESSAGE
BROKER, PUB/SUB ...
THE EXAMPLE ON
AWS STEROIDS
TIME ENTRY SERVICE
EMAIL SERVICE
SQS FLOW
SqsSource(...)
.map(msg => Envelope(msg.receiptHandle, msg.body))
.via(unmarshal())
.via(process())
.runWith(ack(...))
SQS MESSAGE
{
"messageId" : "",
"receiptHandle" : "",
"md5OfBody" : "",
"body" : ""
}
SNS NOTIFICATION ENVELOPE
{
"Type" : "Notification",
"MessageId" : "",
"TopicArn" : "",
"Subject" : "time_entry.approved",
"Message" : "",
"Timestamp" : "",
"SignatureVersion" : "",
"Signature" : "",
"SigningCertURL" : "",
"UnsubscribeURL" : ""
}
CHALLENGES
EVENT SCHEMA EVOLUTION
adding a field to an event type,
remove or rename field in event type,
remove event type,
split event into multiple smaller events.
case class TimeEntryCreated(
id: UUID,
begin: DateTime,
end: DateTime,
timeEntryUserId: UUID,
userId: UUID
)
gets marshalled to
{
"id" : "123456",
"begin" : "2016-09-01 12:00:00",
"end" : "2016-09-01 12:15:00",
"timeEntryUserId" : "00000000-0000-0000-0000-000000000000",
"userId" : "00000000-0000-0000-0000-000000000000"
}
Then something within our schema changes
case class TimeEntryCreated(
...
description: String
...
)
and we will have fun with that one
{
"id" : "123456",
"begin" : "2016-09-01 12:00:00",
"end" : "2016-09-01 12:15:00",
"timeEntryUserId" : "00000000-0000-0000-0000-000000000000",
"userId" : "00000000-0000-0000-0000-000000000000"
}
{
"id" : "123456",
"begin" : "2016-09-01 12:00:00",
"end" : "2016-09-01 12:15:00",
"timeEntryUserId" : "00000000-0000-0000-0000-000000000000",
"userId" : "00000000-0000-0000-0000-000000000000"
}
needs to be transformed to that
{
"id" : "123456",
"begin" : "2016-09-01 12:00:00",
"end" : "2016-09-01 12:15:00",
"timeEntryUserId" : "00000000-0000-0000-0000-000000000000",
"userId" : "00000000-0000-0000-0000-000000000000",
"description" : "N/A"
}
class Evolution(system: ExtendedActorSystem) extends EventAdapter{}
override def fromJournal(event: Any, manifest: String): EventSeq = {
val es = ... //doing evolution on event
EventSeq(es)
}
override def manifest(event: Any): String = {
val version = ???
event.getClass.getSimpleName + ":" + version
}
override def toJournal(event: Any): Any = ???
//write to the journal
}
SCALING WITH AKKA CLUSTER
ON AWS
or "Who am I, and where are all the others?"
JOINING A CLUSTER
gives you information about your instance
http://169.254.169.254/latest/meta-data/instance-id
PRESERVING MESSAGE ORDER
The query side could look like that
| id | ... | version |
| --- | --- | ------- |
| 1 | ... | 45 |
| 2 | ... | 3 |
| 3 | ... | 58 |
CHOOSING THE RIGHT
DATASTORE
you will make mistakes so plan for it
ASYNCHRONOUS MEANS NOT
IMMEDIATE
WHY DO WE REALLY WANT TO
DO THAT?
WE WANT TO SLEEP BETTER
WE WANT TO GET RID OF OUR
MONOLITH
OUR DEVELOPMENT PROCESS BENEFITS
WE CAN ALWAYS AGGREGATE OUR
EVENTS
IF SOMEONE STARTS TO ASK
QUESTIONS...
An audit log is included in your application for free!
SUMMARY
THE FIRST PROTOTYPE IS EASY BUT TO
TACKLE THE CHALLENGES NEEDS
EFFORT!
CONFIGURE YOUR SQS QUEUES
PROPERLY
LET EACH SERVICE MANAGE IT'S
RESOURCES ITSELF.
ONE TOPIC PER AGGREGATE
LITERATURE
https://www.infoq.com/articles/AmazonPubSub
http://martinfowler.com/eaaDev/EventCollaboration.html
http://martinfowler.com/bliki/CQRS.html
https://github.com/dpfeiffer/event-sourcing-aws-
akka-showcase
http://www.oreilly.com/programming/free/reactive-
microservices-architecture.html
http://doc.akka.io/docs/akka/snapshot/scala/persistence-
schema-evolution.html#persistence-schema-
evolution-scala http://chrisloy.net/2014/05/11/akka-
cluster-ec2-autoscaling.html

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