How API Query Languages Cut Payload Bloat
from The API Podcast with Fexingo: REST, GraphQL, and Modern Web APIs Hosted by Fexingo
In this episode, Lucas and Luna dig into the practical problem of API payload bloat and how modern query languages like GraphQL and OData solve it. They use the case of a hypothetical e-commerce checkout flow to show how REST responses can carry twice the data you need, and how a query language lets the client ask for exactly the fields it wants. They also touch on the trade-offs: caching headaches, security risks, and the extra complexity on the server side. If you've ever felt your API responses are heavier than they should be, this episode gives you a clear framework for deciding when a query language is worth it — and when a simple REST endpoint with a couple of query parameters is still the right call. Plus, they share a few field-selection tricks that work even if you're stuck with REST. By the end, you'll know how to trim your payloads without losing your mind. #GraphQL #OData #PayloadBloat #APIDesign #RESTfulAPI #FieldSelection #QueryLanguages #APIOptimization #Technology #FexingoBusiness #BusinessPodcast #WebAPIs #APIDevelopment #ClientServer #DataTransfer #ECommerce #APISecurity #Caching Keep every episode free: buymeacoffee.com/fexingo
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