Optimizing API Interactions—Receiver

Let us look at how we would optimize our API interactions if we owned the routes that accept incoming traffic. Essentially, we want to be able to receive a request, process it swiftly, and respond efficiently, all in as little time as possible. Let’s take a look at how we could do that.

Use caching effectively

We discussed caching as a caller, but what about as a receiver? If we serve resources that don’t change frequently, we must consider caching them ourselves! There are two ways in which caching concepts can be applied.

Using in-memory or external cache

An in-memory cache should suffice for smaller data sizes, but consider using an external cache, like Redis, for larger datasets. We could cache the data we want to serve corresponding to a query in a data store easily accessible to us instead of having to compute the entire result set again. This is especially useful when we have heavy computation or database queries involved.

Using