"RabbitMQ: Message queuing that works" by Gabriele Santomaggio. In this talk I will show how to use RabbitMQ for two different applications. For the first one, how to setup a simple messaging application using different clients as Java, Java-Script, Python, Erlang, .Net, etc. For the second one, how to distribute long batch processes between more consumers in high-availability configuration. In both examples, we will see how to scale the application in terms of clients and brokers, we will see a few standard configurations for local cluster and geographics one. At the end of this talk, you will have walked through all the basics of RabbitMQ.

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RABBITMQ
Message
queuing that
works

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Gabriele Santomaggio
gabriele.santomaggio@erlang-solutions.com
www.erlang-solutions.com
▸ Working at Erlang Solutions
▸ RabbitMQ contributor
▸ Co-author of RabbitMQ Cookbook
▸ @gsantomaggio

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What is RabbitMQ ?
▸ Multi-protocol Messaging broker
▸ Written in Erlang
Producer
Consumer
Exchange
Queue
Server
Virtual host
Binding

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Protocols
▸ AMQP 0-9-1
▸ MQTT
▸ STOMP
▸ AMQP 1.0
▸ HTTP

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RabbitMQ CLIENTS
▸ Java
▸ .NET/C# Client
▸ Python
▸ PHP
▸ Erlang
▸ Node.js
▸ iPhone (Dev in progress)
▸ Others…

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1. Create team
("my_company")
2. Create different rooms
("tech.programming", "tech.networking","
marketing")
3. Send message to the room
4. Send private messages
5. Store messages
6. Clustering / HA
Messaging - example
GOALS

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What we need
my_company
App. client 1
App. client 2
Db - service 1
App 1
App 2
Db - service 2
Exchange
Persistent Queue
Temporary Queues
Db - service n

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R1: Create team
exchange_declare(exchange="my_company",
exchange_type="topic")

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R2: Room subscribe
queue_declare(exclusive=True,
auto_delete=True)
queue_bind(exchange="my_company",
queue=queue,
routing_key="tech.programming")
basic_consume(on_message,
queue=queue,
no_ack=True)

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headers = {
'sender_user':my_user_name,
'sent': datetime.datetime.now(),
'is_private': False
}
properties = pika.BasicProperties(
headers=headers)
channel.publish(exchange="my_company",
routing_key="tech.programming"
properties=properties,
body="I love Erlang!")
R3: Send message to the room

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headers = {
'sender_user':my_user_name,
'sent': datetime.datetime.now(),
'is_private': True
}
properties = pika.BasicProperties(
headers=headers)
channel.publish(exchange="my_company",
routing_key="gabriele",
properties=properties,
body="how are you? :)!")
R4: Send private message

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R5: Store messages
channel.queueDeclare("store.messages",
true, false, false, null);
channel.queueBind("store.messages",
"my_company", "#");
channel.basicQos(1);// round robin
channel.basicConsume("store.messages",
new DefaultConsumer()...

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Oh no… seems
so complex!!
R6: Distributed RabbitMQ

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▸ rabbitmqctl stop_app
▸ rabbitmqctl reset
▸ rabbitmqctl join_cluster
rabbit@server
▸ rabbitmqctl start_app
Clustering!

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High Availability
Healthy Cluster
One Node Down

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R6: Done!
We finished the app

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What about WAN configuration?

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Federation/Shovel - Plugin
▸ Loose coupling
▸ WAN-friendly
▸ Tolerant to network failures
Node 1 Node 2
AMQP client

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Cloud scaling...
Db - Service Db - Service Db - Service
store.messages -
HA
Client 1 Client 2 Client..n

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Exchange messages

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Store Messages

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Full example
▸ Full description(soon...I hope:))
https://www.erlang-solutions.
com/blog.html
▸ Source code (other languages)
https://github.
com/Gsantomaggio/rabbitmqexample

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THANK YOU!
Any questions?
gabriele.santomaggio@erlang-solutions.com
www.erlang-solutions.com
@gsantomaggio