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Understanding the Topologies and Caching Strategies

In Chapter 1, Getting Familiar with Apache Ignite, we learned about various features and the architecture of Apache Ignite; this chapter covers the bare bones of Apache Ignite. We'll look at Apache Ignite clustering, caching topology, and caching strategies. Clustering, caching topology, and caching strategies solve different enterprise architecture problems. In this chapter, we are going to cover the following topics:

CAP theorem and Apache Ignite
Clustering architecture
Caching topology
Clustering strategy

Key benefits

Understand Apache Ignite's in-memory technology

Create High-Performance app components with Ignite

Build a real-time data streaming and complex event processing system

Description

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.

What you will learn

Use Apache Ignite's data grid and implement web session clustering

Gain high performance and linear scalability with in-memory distributed data processing

Create a microservice on top of Apache Ignite that can scale and perform

Perform ACID-compliant CRUD operations on an Ignite cache

Retrieve data from Apache Ignite's data grid using SQL, Scan and Lucene Text query

Explore complex event processing concepts and event streaming

Integrate your Ignite app with the Spring framework

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