Work Queue Patterns
Last updated on 2015-10-07
About the Book
Most applications have some type of work that can be performed independently from the client request cycle. You can defer these types of work into a memory queue or, to survive crashes, a persisted queue. A distributed queue separates the work producer from the work consumer, allowing you to perform work on a different process.
This book will show you how to create and consume work in a local or distributed environment using Node.
- 1. The source code
2. Introducing Queues
- 2.1 Isolate
- 2.2 Retry
- 2.3 Distribute and scale
- 2.4 Survive crashes
- 3. The Simplest Case: an In-Memory Work Queue
- 4. A Persisted Local Work Queue
5. A Distributed Work Queue
- 5.1 Retries and idempotency
- 5.2 The work producer
- 5.3 Installing some dependencies
6. Using RabbitMQ and AMQP
- 6.1 Installing RabbitMQ
- 6.2 Installing your dependencies
- 6.3 Connect
- 6.4 Produce messages
- 6.5 Consume messages
- 7. Summary
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