Memoizing an n-ary function in TypeScript
In this post, I talk about an approach to memoizing a n-ary function in JavaScript / TypeScript preserving the flow of types.
Metrics, Logging, and Tracing are some primary forms of monitoring we use in our services. In this post, I talk about how we can leverage the power of GraphQL to prevent sensitive information ending up in these monitoring tools.
In previous posts, we saw how to optimize data between GraphQL Server and a backend server using the concepts of lookaheads and field filtering. In this post, we are going to leverage look aheads for other forms of optimization - especially prefetching resources.
In the previous posts, we saw how to optimize the data transfer between the GraphQL server and a data provider - backend server. In this post, I'm going to talk about how we can handle the complexities we discussed in previous posts with a Dataloader