Design a Predictive Auto-Scaling System — System Design Interview Practice
Design an AIOps system that predicts future resource demands using ML models and proactively scales infrastructure, reducing both over-provisioning costs and under-provisioning incidents. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Forecast resource demand using historical patternsRequirement
- Scale infrastructure proactively before demand spikesRequirement
- Handle multiple scaling dimensions (CPU, memory, network)Requirement
- Learn from seasonal patterns and special eventsRequirement
- Integrate with cloud auto-scaling APIsRequirement
- Implement scaling guardrails and limitsRequirement
- Track cost savings from predictive scalingRequirement
- Handle multi-service scaling dependenciesRequirement
- aiopsConcept to explore
- auto scalingConcept to explore
- predictiveConcept to explore
- forecastingConcept to explore
- cost optimizationConcept to explore
- cloudConcept to explore