To conduct performance testing in a non-production environment where rate limits are enforced, the most cost-effective approach is:
C: Create a Mocking service that replicates the back-end system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance test.
* Mocking Service: Develop a mock service that emulates the performance characteristics of the production back-end system. This service should mimic the response times, data formats, and any relevant behavior of the actual back-end system without imposing rate limits.
* Configuration: Modify the API implementation to route requests to the mocking service instead of the actual back-end system. This ensures that the performance tests are not impacted by the rate limits imposed in the non-production environment.
* Performance Testing: Conduct the performance tests using the API implementation configured with the mocking service. This approach allows you to assess the performance under expected production load conditions without being constrained by non-production rate limits.
This method ensures that performance testing is accurate and reflective of the production environment without additional costs or constraints due to rate limiting in staging environments.
References:
* MuleSoft Documentation: Mocking Services
* MuleSoft Documentation: Performance Testing