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Build clustered and scalable Java-based, real-time applications using Spring Framework, Boot, WebSocket, Cassandra, Redis and RabbitMQ. In this book, you´ll tie all this together with a dive-in case study, a real-time scalable chat application under differing scenarios. Pro Java Clustering and Scalability also discusses how to horizontally scale the WebSocket chat application using a full STOMP broker such as RabbitMQ.
Although this is a programming book, it also discusses many interesting infrastructure topics and tips about continuous delivery, Docker, NoSQL (Cassandra and Redis) and other related technologies.
What You Will Learn

Handle clustering and scalability using various open source Java, microservices, and web services tools and technologies

Use Spring Framework, Boot, and other Spring technologies

Integrate with Redis, RabbitMQ, Cassandra, NoSQL, and much more
Test the case study code under various scenarios and stresses
Who This Book Is For
Experienced Java developers with at least some prior experience with Java, especially Spring Framework, Boot and other tools, and some web services.

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Part I: Usage 1: Docker 2: Prerequisites 3: Executing the Project Locally 4: Simulate a Conversation 5: Setting Up the Development Environment Part II: Architecture 6: Relationship Between Domain and Architecture 7: Introduction to NoSQL 8: Spring Framework 9: WebSocket 10: Spring WebSocket 11: Single-Node Chat Architecture 12: Multi-Node Chat Architecture 13: Horizontally Scaling Stateful Web Applications Part III: Code by Feature 14: Change the Application Language 15: Login 16: New Account 17: New Chat Room 18: Join Chat Room 19: Send User Public Messages Over WebSocket 20: Send User Private Messages over WebSocket IV: Testing the Code 21: Lazy Deployments versus Fast Deployments 22 Continuous Delivery 23: Types of Automated Tests 24: Unit Tests 25: Integration Tests 26: Split Unit Tests from Integration Tests Using Maven Plugins 27: Continuous Integration Server Appendix Afterword: What´s Next?

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Jorge Acetozi is a Software Engineer who spends almost his whole day having fun with things like AWS, CoreOS, Kubernetes, Docker, Terraform, Cassandra, Redis, Elasticsearch, Graylog, New Relic, Sensu, Logstash, RabbitMQ, Kafka, and Spring Boot. He loves things like deploying applications in production while thousands of users are online, monitoring the infrastructure and acting fast when monitoring tools decides to challenge his heart´s health!

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