In order to enforce policy-as-code for tracing sampling in your applications using Open Policy Agent (OPA) and Conftest, you can define specific rules that govern the allowable sampling rates for tracing events. This ensures consistency and adherence to your organization's tracing policies.
Here is an example of how you might implement this:
package trace
# Define a rule for enforcing the sampling rate
default allow = false
# Allow if the sampling rate is within permitted limits
allow {
input.sampling_rate >= 0
input.sampling_rate <= 100
}
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?