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Learning RabbitMQ : build and optimize efficient messaging applications with ease /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Toshev, Martin, |e author. | |
| 245 | 1 | 0 | |a Learning RabbitMQ : |b build and optimize efficient messaging applications with ease / |c Martin Toshev. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 520 | 8 | |a Annotation |b Build and optimize efficient messaging applications with easeAbout This Book Learn to administer, configure, and manage RabbitMQ instances Discover ways to secure and troubleshoot RabbitMQ instances This book is fully up-to-date with all the latest changes to version 3.5Who This Book Is ForIf you are a developer or system administrator with a basic knowledge of messaging who wants to learn RabbitMQ, or if you want to further enhance your knowledge in working with the message broker, then this book is ideal for you. To fully understand some examples in the book, a basic knowledge of the Java programming language is required. What You Will Learn Apply messaging patterns using the message broker Administer RabbitMQ using the command line, management Web console, or management REST services Create a cluster of scalable, and highly-available, RabbitMQ instances Use RabbitMQ with the Spring Framework, MuleESB, WSO2, and Oracle databases Deploy RabbitMQ using Puppet, Vagrant, or Docker Fine-tune the performance of RabbitMQ Monitor RabbitMQ using Nagios, Munin, or Monit Secure, troubleshoot, and extend RabbitMQIn DetailRabbitMQ is Open Source Message Queuing software based on the Advanced Message Queue Protocol Standard written in the Erlang Language. RabbitMQ is an ideal candidate for large-scale projects ranging from e-commerce and finance to Big Data and social networking because of its ease of use and high performance. Managing RabbitMQ in such a dynamic environment can be a challenging task that requires a good understanding not only of how to work properly with the message broker but also of its best practices and pitfalls. Learning RabbitMQ starts with a concise description of messaging solutions and patterns, then moves on to concrete practical scenarios for publishing and subscribing to the broker along with basic administration. This knowledge is further expanded by exploring how to establish clustering and high availability at the level of the message broker and how to integrate RabbitMQ with a number of technologies such as Spring, and enterprise service bus solutions such as MuleESB and WSO2. We will look at advanced topics such as performance tuning, secure messaging, and the internals of RabbitMQ. Finally we will work through case-studies so that we can see RabbitMQ in action and, if something goes wrong, we'll learn to resolve it in the Troubleshooting section. Style and approach Each chapter of the book is an easy-to-follow guide that expands and builds on the knowledge already gained in previous chapters. Throughout the course of the book, a sample system called the CSN (Corporate Social Network) is used to illustrate the core principles described. At the end of each chapter, there is a Q & A session that covers practical questions that may arise in practice when working with RabbitMQ. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Preface; Chapter 1: Introducing RabbitMQ; Enterprise messaging; Use cases; Solutions; Patterns; Point-to-point ; Publish-subscribe; Request-response; Understanding RabbitMQ; Features; Comparison with other technologies; Installation; Linux; Case study: CSN (Corporate Social Network); Summary; Exercises; Chapter 2: Design Patterns with RabbitMQ; Messaging patterns in RabbitMQ; Point-to-point communication; Publish-subscribe communication; Request-reply communication ; Message router. | |
| 505 | 8 | |a Case study: Initial design of the CSNSummary; Exercises; Chapter 3: Administration, Configuration, and Management; Administering RabbitMQ instances; Administering RabbitMQ components; Administering users; Administering vhosts; Administering permissions; Administering exchanges; Administering queues; Administering bindings; Administering policies; Administering the RabbitMQ database; Full backup and restore; Backing up and restoring the broker metadata; Installing RabbitMQ plugins; Configuring RabbitMQ instances; Setting environment variables; Modifying the RabbitMQ configuration file. | |
| 505 | 8 | |a Managing RabbitMQ instancesUpgrading RabbitMQ; Case study: Administering CSN; Summary; Exercises; Chapter 4: Clustering; Benefits of clustering; RabbitMQ clustering support; Creating a simple cluster; Adding nodes to the cluster; Adding RAM-only nodes to the cluster; Removing nodes from a cluster; Connecting to the cluster; Case study: scaling the CSN; Summary; Exercises; Chapter 5: High Availability; Benefits of high availability; High availability support in RabbitMQ; Mirrored queues; Federation plugin; Shovel plugin ; Reliable delivery; AMQP transactions; Publisher confirms. | |
| 505 | 8 | |a Client high availabilityClient reconnections; Load balancing; Case study: introducing high availability in CSN; Summary; Exercises; Chapter 6: Integrations; Types of integrations; Spring framework; Spring AMQP; Spring Integration; Integration with ESBs; Mule ESB; WSO2; Integration with databases; Oracle RDBMS; MongoDB; Hadoop; RabbitMQ integrations; RabbitMQ deployment options; Puppet; Docker; Vagrant; Testing RabbitMQ applications; Unit testing of RabbitMQ applications; Integration testing of RabbitMQ applications; Case study: Integrating CSN with external systems; Summary; Exercises. | |
| 505 | 8 | |a Chapter 7: Performance Tuning and MonitoringPerformance tuning of RabbitMQ instances; Memory usage; Faster runtime execution; Message size; The maximum frame size of messages; The maximum number of channels ; Connection heartbeats; Clustering and high availability; QoS prefetching; Message persistence; Mnesia transaction logs; Acknowledgements, transactions and publisher confirms; Message routing; Queue creation/deletion; Queue message TTL; Alarms; Network tuning; Client tuning; Performance testing; Monitoring of RabbitMQ instances; The management UI; Nagios; Monit; Munin. | |
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