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)

Foundations of Web Scale Architecture

Chapter 5, Introducing Goophr, Chapter 6, Goophr Concierge, and Chapter 7, Goophr Librarian were about the design and implementation of a distributed search index system, starting from basic concepts to running individual components and verifying that they work as expected. In Chapter 8, Deploying Goophr, we connected the various components with the help of docker-compose so that we could launch and connect all the components in an easy and reliable manner. We have achieved quite a lot in the past four chapters, but you may have noticed that we ran everything on a single machine, most likely our laptop or desktop.

Ideally, we should next try to prepare our distributed system to work reliably under a heavy user load and expose it over the web for general use. However, the reality is that we will have to make a lot of upgrades to our current...