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)

Summary

In this chapter, we started by trying to understand why we need to run multiple instances of Goophr Librarian. Next, we looked at how to implement the updated concierge/api/query.go so that it can work with multiple instances of Librarian. Then we looked into why using docker-compose to orchestrate the application might be a good idea and what may be the various factors to keep in mind to make it work. We also updated the Librarian and Concierge codebase so that they would work seamlessly with docker-compose. Finally, we tested the complete application using a few small documents and reasoning about the expected order of results.

We were able to orchestrate all the servers we needed to run the complete Goophr application on our local machine using docker-compose. However, designing the architecture of a resilient web application to withstand heavy user traffic on the internet...