121. Verify API Handling of Slow Requests
Answer: Use tools like Postman with delay or scripts to simulate slow network conditions. Ensure the API doesn’t timeout unexpectedly and returns 200 OK or appropriate error (e.g., 504 Gateway Timeout) with a clear message.
๐น 122. Verify API Handling of High Traffic
Answer: Perform stress testing using tools like JMeter or Locust to simulate high traffic. Validate API scalability and consistent responses. Check for rate-limiting with 429 Too Many Requests.
๐น 123. Verify API Handling of Low Traffic
Answer: Ensure API remains responsive and functional even when traffic is minimal. Monitor for performance degradation due to cold starts in serverless environments.
๐น 124. Verify API Error Recovery
Answer: Simulate failures (e.g., DB disconnects) and confirm that the API retries operations or fails gracefully with proper error codes like 503 Service Unavailable.
๐น 125. Verify API Failover Handling
Answer: Test with one server down in a multi-node setup. The API should redirect traffic to another node with no user impact, ensuring high availability.
๐น 126. Verify API Load Balancing
Answer: Check if incoming traffic is evenly distributed among servers. Validate using monitoring tools or logs that load balancer (e.g., NGINX, AWS ELB) is active.
๐น 127. Verify API Server Clustering
Answer: Ensure horizontal scaling works by checking if API requests are served by any active cluster node without errors or data inconsistency.
๐น 128. Verify API Versioning
Answer: Test multiple API versions (e.g., /v1/users, /v2/users) return version-specific responses. Backward compatibility must be preserved.
๐น 129. Verify API Documentation
Answer: Use Swagger/OpenAPI to ensure endpoints, responses, error codes are well documented. Access /docs or /swagger routes if available.
๐น 130. Verify API Change Logs
Answer: Ensure each API version or release includes a changelog file or endpoint, helping consumers adapt to changes easily.
๐น 131. Verify API Testing Support
Answer: Check if APIs are testable through environments like Swagger UI, Postman collections, or sandbox environments.
๐น 132. Verify API Monitoring
Answer: Validate if APIs are monitored for health, uptime, response time using tools like Datadog, New Relic, or AWS CloudWatch.
๐น 133. Verify API Security
Answer: Ensure implementation of authentication (OAuth, JWT), encryption (HTTPS), and protection from OWASP threats.
๐น 134. Verify API Performance
Answer: Measure throughput, latency, and response time using performance tools. Validate SLAs are being met.
๐น 135. Verify API Scalability
Answer: Ensure API handles increasing load by adding nodes or resources without compromising performance or availability.
๐น 136. Verify API Availability
Answer: Use uptime monitoring tools. High availability (99.9% or above) should be ensured with redundancy and failover.
๐น 137. Verify API Reliability
Answer: Track success/failure rate. Ensure retry mechanisms, idempotency, and fault tolerance are in place.
๐น 138. Verify API Maintainability
Answer: Review codebase and modular structure. Check if APIs follow best practices (REST standards, naming conventions) for easy maintenance.
๐น 139. Verify API Usability
Answer: API should be easy to understand and integrate. Error messages must be meaningful and well-structured.
๐น 140. Verify API Accessibility
Answer: Validate that the API is accessible from various platforms, devices, and conforms to standards (like WCAG if UI is involved).
