pyats-config-mgmt

Network change management is automated by capturing a pre-change baseline, applying the new configuration, and validating the post-change state. This ensures deployments are safe, auditable, and easily rolled back if issues occur.

Yes, pyATS performs post-change verification and compliance checks across multi-vendor networks. It validates device state against captured baselines to ensure deployed configurations meet your governance and auditing requirements.

You need Python 3 installed and a configured pyATS environment with the PYATS_TESTBED_PATH variable set. This setup allows the MCP workflow to execute the required pre-change and post-change baseline validations.

Baseline capture records the pre-change device state before config pushes, allowing you to compare it against post-change results. This deterministic change deployment approach identifies misconfigurations early and enables rollback planning.

Automating your workflow with baseline capture and post-change verification generates audit trails and change reports automatically. These documents provide the governance and auditing records needed for network compliance validation.

Yes, rollback planning is integrated into the deterministic change deployment process. By capturing pre-change baselines across multi-vendor networks, the system can safely revert configurations if post-change verification detects failures.