When was the last time you had to "memoize" something? Whether you are cracking your head studying for the next coding interview, or are trying to squeeze that last drop of performance from your APIs, memoization is an important performance optimization tool for trading off space for speed.

Go makes it really easy to memoize things using the built-in map data structure and it became even more powerful with the adoption of generics.

In this talk we are going to explore:

- The map built-in
- What is memoization?
- What can be memoized?
- Differences between Pure and deterministic functions, side effects and side inputs
- How to implement a generic "memoizer"
- Concurrency considerations using memos