full-gap-analysis

To check OpenShift feature gate and IAM policy differences before a version upgrade, you need a comprehensive gap analysis. This process compares policy configurations and feature gates between OpenShift versions to ensure cloud compliance and validate upgrade readiness.

OpenShift version gap analysis is a pre-upgrade compliance check that identifies differences in IAM permissions and feature gates between versions. It ensures environments remain compliant by validating configurations across AWS STS, GCP WIF, and OCP admin gates.

Yes, you need python3, the oc CLI, jq, and PyYAML to validate OpenShift upgrade readiness. These dependencies are required to execute the Python scripts that detect and compare policy differences between stable and candidate versions.

Yes, you can integrate OpenShift feature gate validation into a CI/CD pipeline. The gap analysis process is specifically designed for continuous integration and deployment workflows to automatically detect and compare stable and candidate OpenShift versions.

An OpenShift gap analysis handles AWS STS and GCP WIF permissions by detecting and reporting differences in IAM configurations across versions. This comprehensive comparison ensures cloud policy compliance for managed OpenShift environments before upgrades.

Python scripts for OpenShift feature gate analysis are limited to detecting and comparing configurations between versions. They require specific dependencies including oc, jq, python3, and PyYAML, and are intended solely for pre-upgrade compliance checks in managed environments.