Test your application's resilience by simulating various API failure scenarios. This guide shows you how to create realistic error conditions to ensure your app handles failures gracefully.
Define custom error responses with specific status codes, messages, and response bodies to test how your frontend application handles different failure scenarios.
Invalid parameters or malformed request
Missing or invalid authentication
Resource does not exist
Unexpected error on server
Create complex failure scenarios like network timeouts, rate limiting, and partial data failures. Simulate intermittent issues to test retry logic and error recovery mechanisms.
Network timeouts and latency
Rate limiting with Retry-After headers
Malformed responses with partial data
Authentication failures with token expiration
Intermittent failures that occur randomly
{ "status": 429, "statusText": "Too Many Requests", "body": { "error": "rate_limit_exceeded", "message": "API rate limit exceeded", "retry_after": 30 }, "headers": { "Retry-After": "30", "X-RateLimit-Limit": "100", "X-RateLimit-Remaining": "0" }, "delay": 1500 }
Modify existing endpoints to include failure cases or expand them with additional error handling logic. Evolve your test scenarios as your application develops.
Create sophisticated failure responses that only occur under specific conditions based on request parameters, headers, or body content.
// Fail if request includes certain parameters if (request.body && request.body.userId === "invalid") { return { status: 400, body: { error: "invalid_user", message: "The specified user ID is invalid" } }; } // Fail if authorization header is missing or malformed if (!request.headers.authorization || !request.headers.authorization.startsWith("Bearer ")) { return { status: 401, body: { error: "unauthorized", message: "Valid authorization token required" } }; } // Otherwise return success return { status: 200, body: { success: true, data: { /* normal response data */ } } };
Test your configured failure scenarios using Postman or your application to verify that error handling works correctly.
Track all simulated failures with comprehensive logging of status codes, response times, and error details to help with debugging.
By thoroughly testing how your application responds to API failures, you can build more robust software that gracefully handles unexpected conditions.
Ensure your app gracefully handles API failures and maintains a good user experience
Test complex edge cases and verify error handling before deploying to production
Provide helpful error messages and recovery options instead of generic failure screens