High Performance in-memory computing with Apache Ignite

Description

This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: You have a high volume of ACID transactions in your system. You have database bottleneck in your application and want to solve the problem. You want to develop and deploy Microservices in a distributed fashion. 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. You want to share Spark RDD directly in-memory (without storing the state into the disk) You are planning to process continuous never-ending streams and complex events of data. You want to use distributed computations in parallel fashion to gain high performance. What you will learn: In-memory data fabrics use-cases and how it can help you to develop near real-time applications. In-memory data fabrics detail architecture. Caching strategies and how to use In-memory caching to improve the performance of the applications. SQL grid for in-memory caches. How to accelerates the performance of your existing Hadoop ecosystem without changing any code. Sharing Spark RDD states between different Spark applications for improving performance. Processing events & streaming data, integrate Apache Ignite with other frameworks like Storm, Camel, etc. Using distributed computing for building low-latency software. Developing distributed Microservices in fault-tolerant fashion. 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.