What this book covers

Chapter 1, What is Hazelcast?, introduces the technology, its place in an application's stack, and how it has evolved from traditional approaches to data.

Chapter 2, Getting off the Ground, helps us start coding and get acquainted with the standard distributed data store collections on offer.

Chapter 3, Going Concurrent, looks at more distributed and concurrent capabilities that we can bring into our applications.

Chapter 4, Divide and Conquer, looks at how data is split up and split across many nodes to provide both performance and resilience.

Chapter 5, Listening Out, discusses how we can register to receive notifications from the cluster in order to enable our application to be aware of what's going on.

Chapter 6, Spreading the Load, moves beyond data storage and investigates the distributed execution service and how Hazelcast is more than just a database.

Chapter 7, Gathering Results, looks at MapReduce for analyzing and discovering hidden values within our raw data and how it searches and aggregates data.

Chapter 8, Typical Deployments, explores the various ways in which we can use or install Hazelcast into our application or infrastructure, looking at the architectural decisions, reasons, and trade-offs behind each.

Chapter 9, From the Outside Looking In, rather than the use of the provided drivers for integrating with a Hazelcast cluster, looks at the popular alternative access that we have to our data.

Chapter 10, Going Global, discusses how we can explode onto the world stage by using the public cloud infrastructure and asynchronous remote replication to take our data all around the globe.

Chapter 11, Playing Well with Others, brings the technology together with popular companion frameworks to see how we might start to bring the technology to work with legacy applications.

Appendix, Configuration Summary, provides an overview of the configurations that we have used throughout the book.