Serverless Architecture: Where It Helps and Where It Doesn't

GraphQL and REST are the two dominant styles for building APIs, and the right choice depends on how your client applications actually consume data rather than which one is newer. REST remains the simpler choice for most APIs, with predictable caching behaviour and a lower learning curve for new developers. GraphQL earns its complexity when front-end clients need to fetch deeply nested, variable data shapes and would otherwise require many separate REST calls, such as in complex dashboards or mobile apps with limited bandwidth.

We choose based on the shape of the client's data needs rather than following the trend, and have shipped both successfully depending on the project.

A useful way to think about it in practice: REST resources map cleanly to CRUD operations and benefit from HTTP-level caching, CDNs, and simple monitoring, since every endpoint has a fixed, predictable response shape. GraphQL trades that predictability for flexibility, letting a client request exactly the fields it needs in a single round trip, which matters a lot on mobile networks where every extra request adds latency.

The common pitfall we see teams run into with GraphQL is underestimating the operational overhead: query complexity limits, N+1 database query problems behind resolvers, and caching strategies all need deliberate design, whereas a REST endpoint mostly gets these for free from standard HTTP infrastructure. Teams that adopt GraphQL without addressing resolver performance often end up with a slower API than the REST version it replaced.

A hybrid approach is also common and often underrated: expose a REST API for simple, well-defined resources and add a GraphQL layer only for the specific screens that genuinely need flexible, nested queries. This avoids rewriting an entire API surface just to solve one dashboard's data-fetching problem.

When we scope a new API for a client, we start by mapping the actual screens and client applications that will consume it, counting how many round trips a REST approach would need for the most data-heavy views. If that number stays low, REST wins on simplicity and tooling maturity; if it climbs into double digits for key screens, GraphQL usually pays for its added complexity.