Optimizing API Interactions—Receiver
Explore methods to optimize API interactions on the server side, including effective caching strategies using in-memory or external caches, utilizing ETags for cache validation, setting meaningful time-outs to protect resources, optimizing database queries, and reducing response data size through pagination and compression. This lesson equips you with practical techniques to build scalable and efficient backend services in Go.
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 ETags
ETags, short for entity tags, are used to verify the freshness of an HTTP response and help ensure cache consistency ...