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GRIDGAIN BASICS

In this chapter:

In this pretty long chapter we'll cover pretty much all the functionality available in GridGain apart from the "big three" - compute grids, data grids and cloud auto-scaling - which will be covered in subsequent individual chapters. All three big subsystems are fundamentally based on the functionality explained in this chapter and therefore the following material is pretty important.

What's more interesting is that fact that some GridGain-based applications don't even use any of the three big technologies we have - but utilize message passing, distributed functional programming techniques, zero deployment or event-based processing provided by GridGain.

In this chapter we'll go over in details about:

Sub-chapter Description
Ch. 4.1: Getting and Installing Chapter about downloading and installing GridGain.
[Ch. 4.2: First GridGain Application] Chapter about writing your first GridGain-based MapReduce application.
[Ch. 4.3: Configuration] Chapter about how to configure GridGain.
Ch. 4.4: Main Abstractions Chapter explaining main concepts and abstracts behind GridGain APIs and design.
Ch. 4.5: Typedefs and Type Aliases Chapter about typedefs and type aliases in GridGain.
Ch. 4.6: Functional Programming Framework Chapter explaining Distributed Functional Programming framework that is built into GridGain.
[Ch. 4.7: Deployment] Chapter explaining deployment technology in GridGain.
[Ch. 4.8: Messaging] Chapter about message exchange functionality.
[Ch. 4.9: Events] Chapter about local and distributed events: producing, listening and querying.
[Ch. 4.10: SPI Architecture] Chapter explaining SPI-based architecture of GridGain.
[Ch. 4.11 Loaders] Chapter explaining pluggable loaders and how GridGain starts in the hosting environment.
[Ch. 4.12: Logging] Chapter about pluggable logging support.
[Ch. 4.13: Marshalling] Chapter explaining pluggable marshalling support.

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Chapter 4.1 (GridGain User Guide)

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