Work Queue Patterns
Work Queue Patterns
Master Deferred and Distributed Work in Node
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.
Table of Contents
- 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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