Design an AI-Driven Change Risk Assessment System — System Design Interview Practice
Design a system that uses ML to assess the risk of production changes (deployments, config changes, infrastructure updates), predicts potential impact, and recommends safe deployment windows. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Analyze historical change-incident correlationsRequirement
- Score risk for proposed changesRequirement
- Identify high-risk change combinationsRequirement
- Recommend optimal deployment windowsRequirement
- Predict blast radius of proposed changesRequirement
- Track change success rate by type and teamRequirement
- Enforce change policies based on risk scoresRequirement
- Integrate with CI/CD and change management toolsRequirement
- aiopsConcept to explore
- change managementConcept to explore
- risk assessmentConcept to explore
- deploymentConcept to explore
- ci cdConcept to explore
- predictionConcept to explore