RabbitMQ Essentials
Second Edition
Second Edition
Build distributed and scalable applications with message queuing using RabbitMQ
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- A Rabbit Springs to Life
- Technical requirements
- Explaining message queues
- Discovering AMQP and RabbitMQ
- The request-response message exchange pattern
- Message queuing exchange pattern
- A loosely coupled architecture
- Meet AMQP
- The RabbitMQ broker
- Using RabbitMQ in real life
- Message queues between microservices
- Event and tasks
- Exploring the benefits of message queuing
- A RabbitMQ scenario
- Getting ready for RabbitMQ
- Installing the broker
- RabbitMQ installation on Ubuntu
- RabbitMQ installation on Docker
- Starting RabbitMQ
- Downloading the example code
- Verifying that the RabbitMQ broker is running
- Installing the management plugin (Web UI)
- Configuring users
- Configuring dedicated vhosts
- Summary
- Creating a Taxi Application
- Technical requirements
- The application architecture behind CC
- Establishing a solid connection to RabbitMQ
- Working with channels
- Building the taxi request tool
- The direct exchange
- Sending the first messages
- AMQP message structure
- Consuming messages
- Acknowledgment and negative acknowledgment
- Running the code
- Running the application
- Adding topic messages
- Summary
- Sending Messages to Multiple Taxi Drivers
- Tweaking Message Delivery
- Message Routing
- Technical requirements
- Sending responses to the publisher
- WebSockets in RabbitMQ
- Enabling the Web STOMP plugin
- Securing Web STOMP with SSL
- Creating and publishing GPS data to the queue
- Subscribing to GPS and driver information via WebSockets
- Reply-to queues and RPC
- Creating a data analysis service
- Summary
- Taking RabbitMQ to Production
- Best Practices and Broker Monitoring
- How to avoid losing messages
- Using a dead letter exchange
- Handling acknowledgments and confirms
- Best practices of message handling
- Limiting message size
- Using consumers and prefetching
- Keeping queues and brokers clean
- Setting the TTL for messages or the max-length on queues
- Auto-deleting unused queues
- Routing best practices
- Designing a system with routing in mind
- Networking over connections and channels
- Using TLS and AMQPS for security
- Separate connections
- Splitting queues over different cores
- RabbitMQ sharding
- Consistent Hash Exchange
- Exploring key takeaways
- Monitoring – querying the REST API
- Summary
- Other Book You May Enjoy
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