High Performance in-Memory Computing with Apache Ignite

A new title "The Apache Ignite Book" is published and available at LeanPub & Amazon. 

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1. You have a high volume of ACID transactions in your system. 
2. You have database bottleneck in your application and want to solve the problem. 
3. You want to develop and deploy Microservices in a distributed fashion. 
4. You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 
5. You want to share Spark RDD directly in-memory (without storing the state into the disk) 
6. You are planning to process continuous never-ending streams and complex events of data. 
7. You want to use distributed computations in a parallel fashion to gain high performance.

For every topic, a complete application is delivered, which will help the audience to quick start with the topic. The book is a project-based guide, where each chapter focuses on the complete implementation of a real-world scenario, the commonly occurring challenges in each scenario have also discussed, along with tips and tricks and best practices on how to overcome them. Every chapter is independent and a complete project. 
Readership:
The target audience of this book will be IT architect, team leaders, a programmer with minimum programming knowledge, who want to get the maximum performance from their applications.
No excessive knowledge is required, though it would be good to be familiar with JAVA and Spring framework. The book is also useful for any reader, who already familiar with Oracle Coherence, Hazelcast, Infinispan or memcached.