Book Image

Apache Ignite Quick Start Guide

By : Sujoy Acharya
Book Image

Apache Ignite Quick Start Guide

By: Sujoy Acharya

Overview of this book

Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture.
Table of Contents (9 chapters)

Summary

This chapter explained the service grid concept and microservice deployment on Apache Ignite. We explored the core service grid APIs, the Service and IgniteServices interfaces, along with how a service can be defined, deployed, and cancelled. We also covered the importance of deploying a microservice on a service grid cluster and how the framework takes care of service availability, scalability, and inter-service communication.

This chapter also covered complex event processing, event data streaming APIs, and continuous queries. Ignite supports almost all major data streamers, such as JMS, Kafka, and Camel.

The Chapter 6, Sharpening Ignite Skills, will cover the following topics: Ignite data persistence with RDBMS and NoSQL data stores, transactional CRUD operations, locks, off-heap and native data stores, distributed data structures, including queues, sets, and ID generators...