Webinar: Queues with RabbitMQ - Lorna Mitchell

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Queues are a great addition to any application that has some tasks that need processing asynchronously. This could be sending a confirmation email, resizing an avatar, or recalculating a running total of some kind; in all those cases it would be cool to send the response back to the user and then sort out that task later. This session looks at how to use a RabbitMQ job queue in your application. It also looks at how to design elegant and robust long-running workers that will consume the jobs from the queue and process them. This session is ideal for technical leads, developers and architects alike.

Technologie

Queues With
RabbitMQ

Lorna Mitchell, IBM

Introducing Queues
Use queues to:
• asynchronously process tasks in your (existing) application
• e.g. sending email, processing uploads
• provide loose coupling points
• e.g. delegate heavy tasks, split ownership/technology
• enable parts of the system to scale appropriately
• e.g. an event in one system causes a thousand other
actions
@lornajane

Queue Tools
A selection of queue-ish tools
• RabbitMQ* http://www.rabbitmq.com/
• Gearman http://gearman.org/
• Beanstalkd http://kr.github.io/beanstalkd/
• Kafka https://kafka.apache.org/
• Redis https://redis.io/

* RabbitMQ is used in today's examples
@lornajane

Management Plugin
https://www.rabbitmq.com/management.html
@lornajane

Getting To Know RabbitMQ
Some vocabulary
• broker: the RabbitMQ instance
• exchange: where to send the messages to
• queue: where messages wait to be processed
• binding key: rules for which messages go into this queue
• message: the data to be processed
• routing key: message route information
• consumer: worker script to processes the messages
@lornajane

RabbitMQ Exchanges
Exchanges are the routing logic of RabbitMQ

Messages go to exchanges and the exchanges put them into
the correct queues for storage
@lornajane

Types Of Exchange
Direct: a given routing key puts messages onto the matching
queue(s)

Topic: queues are bound by key, and messages are routed to
as many queues as their routing key matches

Fanout: messages go to all queues bound to this exchange
@lornajane

Default Exchange
There is a default exchange in RabbitMQ

Its name is '' and routing is on queue name
@lornajane

RabbitMQ Queues
Queues can:
• have wildcards in binding keys
• be durable (messages have their own durability)
• have a maximum length
• be configured with a "dead letter exchange"

If producer needs feedback, create another queue to put
status updates into
@lornajane

Example App: Webhooks
(code: https://github.com/ibm-watson-data-lab/guestbook )

A simple guestbook application is extended to allow webhook
notifications of new comments.
@lornajane

Creating Workers
Workers are disposable!

• if things go wrong, exit
• separate tool to monitor/restart as needed
• beware long-running process hazards
• everything processed "at least once" (but maybe more than
once, and in any order...)
@lornajane

Independent Workers
For best results:
• awesome, aggregated logging
• monitoring: queue size, worker uptime, processing time
• miniminum viable dependencies
@lornajane

Completed Messages
• acknowledge when messages are processed successfully
• can acknowledge failure
• reject the message
• optionally: requeue
@lornajane

Dead Letter Queues
• reject without requeue
• exceed TTL
• queue length exceeded
@lornajane

Retries
Implement your own logic to handle retries

Create a new message with:
• all the existing message contents
• plus some metadata such as retry count or backoff time
@lornajane

Feedback Mechanisms
Rabbit is fire-and-forget; work is delegated

Common pattern: return queue to put updates into for the
original producer then to consume.
@lornajane

Queues With RabbitMQ

Queues are awesome for scalability and robustness

RabbitMQ is open source, lightweight and fast

Queues help us meet the requirements for modern
applications
@lornajane

Thanks!
Resources:
• RabbitMQ: https://www.rabbitmq.com/
• Resilience: https://lrnja.net/rabbitfail
• Blog: https://lornajane.net
• Code: https://github.com/ibm-watson-data-lab/guestbook

• @lornajane
• lorna.mitchell@uk.ibm.com
@lornajane

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