Below you will find pages that utilize the taxonomy term “Error Handling”
API Error Handling: HTTP Status Codes, Error Bodies, and Retry Logic
Errors are not edge cases in API development. They are a primary output. Every API call that can fail will fail — due to invalid input, authentication problems, resource conflicts, rate limits, or infrastructure issues — and how an API communicates those failures determines whether integrators can handle them gracefully or are left guessing. An API that returns clear, consistent, actionable errors is a well-designed API. Everything else is guesswork at scale.
API Observability: Logging, Metrics, and Distributed Tracing
An API that works in development and fails in production in ways you cannot diagnose is worse than an API that fails loudly. Production is where assumptions meet reality, and the gap between them only becomes visible if you can see what is happening inside the system. Observability is the discipline of making distributed systems understandable — building in enough visibility that when something goes wrong, you can find out what, where, and why without guessing.
Batch Operations in APIs: Designing for Bulk Without Breaking Everything
The standard REST pattern is one resource per request. Create one user, update one order, fetch one product. This works until an integrator needs to create ten thousand users, update five hundred orders, or sync an entire product catalog. Making ten thousand individual API calls is slow, expensive in terms of rate limit quota, and brittle — a network failure on request 7,432 leaves the integrator with a partially completed operation and no clean recovery path.
Designing APIs for Developer Experience: What Makes an API a Pleasure to Use
Developer experience is not a soft concern. It determines how quickly developers integrate your API, how many support tickets they file, how many abandon the integration and use a competitor, and how they describe your product to other developers. An API with good developer experience turns integrators into advocates. An API with poor developer experience turns them into complaints.
Good DX is not a single feature or a checklist item added at the end of the design process. It emerges from a series of small decisions made throughout design and implementation. Every naming convention, every error message, every documentation page, and every SDK is a DX decision.