Chapter 1, Getting Familiar with Apache Ignite, explains why Apache Ignite is important and how adding a new tool to your tech toolbox can help solve different problems. You will also get to look into various rich features of Apache Ignite, explore Apache Ignite use cases, and understand refactored traditional architecture building blocks using Apache Ignite support.
Chapter 2, Understanding the Topologies and Caching Strategies, looks at Apache Ignite clustering, caching topology, and caching strategies. This chapter also explores the caching modes for distributing data. This chapter will gets into local, partitioned, and replicated caching modes, and how scalability, availability, and read/write performance can be tuned using the caching modes.
Chapter 3, Working with Data Grids, covers Apache Ignite data grid concepts. You'll start with the JSR 107 specification, learning about cache configuration, cache events, listeners, and filters. You will also explore how Hibernate L2 cache can be stored in Apache Ignite in order to improve application performance. This chapter also explores web session clustering with Apache Ignite.
Chapter 4, Exploring Compute Grid and the Query API, covers two important components of Apache Ignite architecture: Apache Ignite Query API and distributed computing using Apache Ignite Compute Grid. This chapter concludes with Compute Grid and distributed computation using the following APIs: MapReduce and ForkJoin, ExecutorService, job scheduling APIs.
Chapter 5, Building Microservices with Service Grid, explains the concepts of service grid and microservices deployment with Apache Ignite. You will also look into the core service grid APIs, the Service and IgniteServices interfaces, and how a service can be defined, deployed, and canceled. This chapter also covers complex event processing, event data streaming APIs, and continuous queries.
Chapter 6, Sharpening Ignite Skills, will cover the art of building an ACID-compliant, high-performance, scalable, and highly available system. You will also learn about the need for data persistence and how to persist data to a commonly used RDBMS or NoSQL datastore, such as MySQL or Cassandra.
Chapter 7, Deploying to Production, covers the nitty-gritty of fine-tuning our Apache Ignite application for production deployment. You will also explore the various features and use cases of Apache Ignite. This chapter will also take you through Apache Ignite, in-memory technologies, the installation and clustering of Ignite nodes, caching topologies, and various caching strategies.
