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Interview Question
How would you design and implement a cost-optimization strategy for a large-scale multi-cloud setup?
Key Points to Cover
- Use cloud-native cost explorers and budgets for visibility
- Implement rightsizing for compute/storage
- Adopt reserved instances, spot fleets, or savings plans
- Leverage tagging and chargeback models for ownership accountability
- Automate shutdown of idle workloads and orphaned resources
Evaluation Rubric
Provides methods to gain cost visibility30% weight
Suggests valid optimization techniques30% weight
Enforces accountability via tagging/budgets20% weight
Leverages automation to reduce costs20% weight
Hints
- 💡FinOps practices, cost policies, and auto-remediation tooling.
Common Pitfalls to Avoid
- ⚠️Lack of centralized visibility and consistent tagging across multiple cloud providers.
- ⚠️Over-provisioning resources due to fear of performance degradation, leading to wasted capacity.
- ⚠️Ignoring data transfer costs, especially in complex multi-cloud architectures.
- ⚠️Failing to regularly review and re-evaluate commitment-based discount strategies as usage patterns change.
- ⚠️Treating cost optimization as a one-time project rather than an ongoing operational discipline.
Potential Follow-up Questions
- ❓How do you manage costs in Kubernetes?
- ❓Which tools would you use for cross-cloud visibility?
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