Hands-on Labs & Final Challenge

Scenario:

SecureCart’s engineering team must implement a cost-optimized AWS compute solution balancing performance, scalability, and cost efficiency.

Final Study Group Challenges:

✅ Scenario 1: Select the Most Cost-Effective AWS Compute Service for a Given Workload ✅ Scenario 2: Implement Auto Scaling to Reduce Compute Costs During Low Traffic Periods ✅ Scenario 3: Optimize Compute Purchasing Using Spot Instances & Reserved Instances ✅ Scenario 4: Deploy a Serverless Architecture Using AWS Lambda & Fargate ✅ Scenario 5: Extend AWS Compute to Hybrid & Edge Environments Using AWS Outposts

🔹 Outcome: Learners demonstrate AWS best practices for cost-optimized compute architectures.

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📚 Recommended Study Resources

✅ AWS Well-Architected Framework – Cost Optimization Pillar ✅ AWS Compute Optimization Best Practices ✅ AWS Cost Explorer & AWS Budgets for Compute Cost Management ✅ AWS Auto Scaling & Load Balancing Strategies ✅ AWS Savings Plans & Spot Instances for Cost Reduction