Partial Failure, Ordering, and Eventual Consistency
Understand partial API failures, message ordering, and eventual consistency, then design status models and recovery paths clients can reason about.
Understand partial API failures, message ordering, and eventual consistency, then design status models and recovery paths clients can reason about.
Set fair API rate limits and quotas with clear scopes, useful headers, burst handling, and protection against noisy consumers and accidental traffic spikes.
Design consistent API request and response envelopes, validation errors, and problem details so client developers can handle success and failure reliably.
Model API URLs around stable resources and relationships, with clear collection behavior that clients can navigate without learning server internals.
Set API deadlines, bounded retries, exponential backoff, and circuit breakers so transient failures recover without multiplying load or hiding outages.
Compare API scopes, roles, and object-level permissions, then combine them to grant callers only the access each operation and resource requires.
Build an API test strategy with fast unit tests, realistic integration checks, and consumer contract tests without relying on brittle end-to-end suites.
Compare REST-style RPC, gRPC, and event APIs by interaction pattern, latency, coupling, tooling, and operational needs before choosing an integration style.
Learn how JSON representations, media types, and serialization rules shape API compatibility, validation, and reliable client-server data exchange.
Choose HTTP methods that match the operation, return status codes clients can act on, and use headers for metadata, caching, and safe retries.