Book Image

Go: Building Web Applications

By : Nathan Kozyra, Mat Ryer
Book Image

Go: Building Web Applications

By: Nathan Kozyra, Mat Ryer

Overview of this book

Go is an open source programming language that makes it easy to build simple, reliable, and efficient software. It is a statically typed language with syntax loosely derived from that of C, adding garbage collection, type safety, some dynamic-typing capabilities, additional built-in types such as variable-length arrays and key-value maps, and a large standard library. This course starts with a walkthrough of the topics most critical to anyone building a new web application. Whether it’s keeping your application secure, connecting to your database, enabling token-based authentication, or utilizing logic-less templates, this course has you covered. Scale, performance, and high availability lie at the heart of the projects, and the lessons learned throughout this course will arm you with everything you need to build world-class solutions. It will also take you through the history of concurrency, how Go utilizes it, how Go differs from other languages, and the features and structures of Go's concurrency core. It will make you feel comfortable designing a safe, data-consistent, and high-performance concurrent application in Go. This course is an invaluable resource to help you understand Go's powerful features to build simple, reliable, secure, and efficient web applications.
Table of Contents (6 chapters)

Chapter 7. Performance and Scalability

To build a high-powered web server in Go with just a few hundred lines of code, you should be quite aware of how concurrent Go provides us with exceptional tools for performance and stability out of the box.

Our example in Chapter 6, C10K – A Non-blocking Web Server in Go, also showed how imposing blocking code arbitrarily or inadvertently into our code can introduce some serious bottlenecks and quickly torpedo any plans to extend or scale your application.

What we'll look at in this chapter are a few ways that can better prepare us to take our concurrent application and ensure that it's able to continuously scale in the future and that it is capable of being expanded in scope, design, and/or capacity.

We'll expand a bit on pprof, the CPU profiling tool we looked at briefly in previous chapters, as a way to elucidate the way our Go code is compiled and to locate possible unintended bottlenecks.

Then we'll expand into...