Design an AI-Powered Cloud Cost Optimization Platform — System Design Interview Practice
Design a platform that uses ML to analyze cloud spending patterns, identify waste, recommend rightsizing, optimize reserved capacity purchases, and forecast future costs across multi-cloud environments. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Analyze cloud spending across providersRequirement
- Detect idle and underutilized resourcesRequirement
- Recommend instance rightsizing based on usageRequirement
- Optimize reserved instance and savings plan coverageRequirement
- Forecast future cloud costs by team and serviceRequirement
- Identify cost anomalies and unexpected spikesRequirement
- Implement automated cost governance policiesRequirement
- Provide cost allocation and showback/chargebackRequirement
- aiopsConcept to explore
- cost optimizationConcept to explore
- finopsConcept to explore
- cloud spendingConcept to explore
- rightsizingConcept to explore
- multi cloudConcept to explore