Kristopher Sandoval

Kristopher Sandoval

Kristopher is a web developer and author who writes on security and business. He has been writing articles for Nordic APIs since 2015.

Posts By: Kristopher Sandoval

Comparing Tools For GraphQL Schema Stitching: Hasura vs. Apollo

In the world of microservices, an API could reference tens or more services within a single function. This significantly elevated functionality has unfortunately brought with it some greater complexity.

One way to deal with such complexity is schema stitching. Stitching is a robust process that ties many microservices under a single relational network. Read more

What is Coming In HTTP/3 QUIC?

HTTP/3 is a robust protocol, offering many gains with few adoption blockers. The promise of this protocol, however, is just that – a promise. While the protocol is, in theory, an attractive proposition, it still has quite a lot of iteration to go through, which has left many programmers with a simple question – what is the current state of HTTP/3 and QUIC, and what is explicitly the protocol offering compared to HTTP/2 and HTTP/1? Read more

6 Helpful GraphQL Frameworks: FlacheQL, Relay, Apollo, and others

GraphQL is a powerful solution for many users. Having the ability to determine the data returned and the format it’s returned great makes for a robust system, delivering excellent user experience and unmatchable data exchange. That said, GraphQL is not entirely perfect out of the box. Read more

REST vs GraphQL: How Constraints Determine API Style

Much has been said about REST and GraphQL. Unfortunately, these conversations almost always hover around the idea of one being better than the other — more often than not, GraphQL is presented as the next step towards a RESTless world. Read more

Review of Supermodel

Perhaps one of the most important elements of any implementation leveraging data is the actual modeling of the data itself. Data is only useful when it’s understood and contextualized – when it’s ultimately either shared or made into information. Failing to actually model this data in an understandable way is damaging, and can seriously hamper any effort to develop a product. Read more