About the Book
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 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. Recommended by the Apache Ignite, this 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), 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 a scalable and fault-tolerant fashion.
- You want to use distributed computations in parallel fashion to gain high performance, low latency, and linear scalability.
- You want to accelerate applications performance without changing code.
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.
See the table of contents for more details.
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 has also discussed, along with tips and tricks and best practices on how to overcome them. Every chapter is independent and a complete project.
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.
If you are not sure if this book is for you, I suggest you to read the sample chapter of the book. Anyway, I encourage you to try it out, and if you don't like the book, you can always ask a 100% refund within 45 days.
About the Editors
received his Ph.D. in Computer Science from the University of Vladimir, Russia in 2007. He is currently working as an Enterprise architect, where he is responsible for designing and building out high scalable, high load middleware solutions. He has been in the IT field for over 16 years and specialized in Java and Data science. Also, he is a former SOA solution designer, speaker, and Big data evangelist. Actively participates in the development and designing high-performance software for IT, telecommunication and banking industry. In spare times, he usually writes the blog frommyworkshop and shares ideas with others.
Graduated from the Bauman Moscow State Technical University in 2002. Master's degree in computer science.
Lecturer at BMSTU since 2013, delivering course “Parallel programming and distributive systems”
Timur Isachenko is a Full Stack Developer working for AT-Consulting, passionate about web development and solving a wide variety of related challenges.
Timur spends his time learning cutting-edge technologies every day to make the best developer out himself.