In this chapter, we learned the core concepts of performance in computer science. We also learned some of the history of the Go computer programming language and how its inception ties in directly with performance work. Lastly, we learned that Go is used in a myriad of different cases because of the utility, flexibility, and extensibility of the language. This chapter has introduced concepts that will continually be built upon in this book, allowing you to rethink the way you are writing your Go code.

In Chapter 2, Data Structures and Algorithms, we'll dive into data structures and algorithms. We'll learn about different algorithms, their Big O notation, and how these algorithms are constructed in Go. We'll also learn about how these theoretical algorithms relate to real-world problems and write performant Go to serve large amounts of requests quickly and efficiently. Learning more about these algorithms will help you to become more efficient in the second layer of the optimizations triangle that was laid out earlier in this chapter.