Wire anomaly detection, runbook search, an LLM and Ansible into a guarded remediation loop with approval tiers, audit logs and verification.
This project builds a control loop that watches one Kubernetes workload, detects an anomaly with a machine learning model, asks an LLM (with runbook...
This milestone creates the project and brings in what you need from the two earlier projects.
This milestone defines exactly what the system may do.
This milestone writes one playbook per action.
This milestone builds the code that stands between a proposal and an action.
This milestone runs the playbook and then checks whether the fix actually worked.
This project builds a control loop that watches one Kubernetes workload, detects an anomaly with a machine learning...
This milestone creates the project and brings in what you need from the two earlier projects.
This milestone defines exactly what the system may do.
This milestone writes one playbook per action.
This milestone builds the code that stands between a proposal and an action.
This milestone runs the playbook and then checks whether the fix actually worked.
This milestone lets a human approve or reject a Tier 3 action.
This milestone connects everything into the main loop.
This milestone gives the system the smallest set of Kubernetes permissions it needs: a Role in the one namespace it...
This milestone proves each guardrail works, and records the numbers. Run them in order, starting with the safest.
Confirm each safety property before you call the project finished.
Roles that use the skills in this module.
AI Engineer
MLOps Engineer
Platform Engineer
DevOps Engineer
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