How do I enforce policy-as-code for Load testing using OPA and Conftest?

To enforce policy-as-code for load testing using Open Policy Agent (OPA) and Conftest, you can define your policies in Rego, OPA’s policy language, and then use Conftest to validate that your load testing configurations adhere to those policies. This ensures that your load tests conform to best practices and organizational standards.

The following example illustrates how to set up a simple load testing policy and use Conftest to check a configuration file against that policy.

// Example policy in Rego package load_test # Allow load testing only if the duration is less than 1 hour deny[{"msg": msg}] { input.duration > 3600 msg := "Load test duration exceeds the maximum allowed limit of 1 hour." } # Allow load testing only if the number of virtual users is within acceptable limits deny[{"msg": msg}] { input.virtual_users > 1000 msg := "Number of virtual users exceeds the maximum allowed limit of 1000." } // Example load test configuration file { "duration": 3600, "virtual_users": 500, "test_name": "API Load Test" }

DevOps OPA policy-as-code load testing Conftest Rego software testing

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?