In the rapidly evolving world of software development and deployment, enforcing policy-as-code for security incident response is crucial. Open Policy Agent (OPA) and Conftest provide a robust framework for implementing these policies efficiently. Below, we provide an example of how to set up OPA with Conftest to ensure security best practices during incident responses.
# Sample Conftest policy for OPA enforcement on security incident response
package security.incident
import data.kubernetes.pods
deny["Pod security policy violation"] {
pod := pods[_]
pod.metadata.namespace == "security-team"
pod.spec.containers[_].securityContext.runAsUser != 1000
}
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?