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The book "High performance in-memory computing with apache Ignite" has been released and
available at http://leanpub.com/ignite
Buy now by 27$
Print copy of the book is available at Lulu.com & Amazon bookstore.
The goal of the book is to provide a guide for those who really need to implement the In-memory platform in their projects. At the same time, the idea behind the book is not writing a manual.
This book wraps all the topics like in-memory data grid, highly available service grid, streaming and in-memory computing use cases from high-performance computing to get the performance gain. The book will be particularly useful for those, who have the following use cases:
- You have database bottleneck in your application and want to solve the problem.
- You have a high volume of ACID transactions in your system.
- You want to develop and deploy microservices in distributed fashion.
- You have existing Hadoop ecosystem (OLAP) and want to improve the performance of the Map/Reduce jobs without making any changes in your existing Map/Reduce jobs.
- You want to share Spark RDD directly in-memory (without storing the state to disk), which can dramatically increase the performance of the Spark jobs.
- You are planning to migrate to microservices and the web session clustering is the problem for you.
- You are planning to process continuous never-ending streams and complex events of data in scalable and fault-tolerant fashion.
- You want to use distributed computations in parallel fashion to gain high performance, low latency, and linear scalability.
- You heard about Off-heap memory but don't know how to use it in your application.
Who is this book for
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.
See the full table of contents of the book here.