This chapter covered the nitty-gritty of fine-tuning our Apache Ignite application for production deployment. It started with Ignite's memory architecture—data store configuration, data regions, and pages.

We explored all the advanced features and use cases of Apache Ignite. We went through why you should use Apache Ignite, in-memory technologies, the installation and clustering of Ignite nodes, caching topologies, and various caching strategies such as cache aside, read- and write-through, and write-behind. We delved into detailed aspects of Ignite's data grid, such as web session clustering and querying data. You also obtained hands-on experience of processing large volumes of data using compute grid and Ignite's map-reduce and executor service.

You gained experience with the memory architecture of Apache Ignite, looked at how to monitor memory and the cache, explored complex event processing, examined event streaming, and looked at time series prediction of opportunities and threats. Additionally, we covered the off-heap and on-heap caching, swapping, native and third-party persistence, and Spring framework integration with Apache Ignite.

You mastered the features of Apache Ignite 2.x and are now able to build an efficient, high-performance, scalable, and high-availability system architecture using Ignite.