High performance in-memory computing with Apache Ignite
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 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.
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.
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.