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...
