Book Image

Distributed Computing with Go

By : V.N. Nikhil Anurag
Book Image

Distributed Computing with Go

By: V.N. Nikhil Anurag

Overview of this book

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.
Table of Contents (11 chapters)

Scaling a web application

In this chapter, we will not be discussing Goophr but instead a simple web application for blogging so that we can concentrate on scaling it for the web. Such an application may consist of a single server instance running the database and the blog server.

Scaling a web application is an intricate topic, and we will devote a lot of time to this very subject. As we shall see throughout this section, there are multiple ways to scale a system:

  • Scaling the system as a whole
  • Splitting up the system and scaling individual components
  • Choosing specific solutions to better scale the system

Let's start with the most basic setup, a single server instance.

The single server instance

A single server setup...