Portfolio case study documenting a real-world AWS environment review and optimization assessment.
Client identity and infrastructure identifiers are anonymized due to NDA.
Date: January 2025
Prepared By: Abhishek Pandey
Role: Cloud Pre-Sales Engineer (AWS)
Client: Client A (Masked)
Region: ap-south-1 (Mumbai)
- Audit current AWS infrastructure
- Analyze utilization via CloudWatch (~4 weeks)
- Identify cost inefficiencies and rightsize compute
- Recommend improvements without impacting reliability or security
- Client name and organization details removed
- Instance IDs, bucket names, IPs masked
- Workload names generalized (Production / Staging)
Key Services Observed: EC2, S3, VPC, ELB/ALB, CloudWatch, IAM, Route53, WAF, Lambda, DynamoDB, CloudFront, SNS/SQS
Estimated monthly savings: ~$77.24
Estimated monthly savings: ~$47.59
- 1-Year RI: ~$27.95/month
- 3-Year RI: ~$53.36/month
Estimated monthly savings: ~$10.95
Estimated range: ~$141.55 to $165.42 / month
Annual impact: ~$1,700 to $2,000 / year
- Enable MFA (especially privileged users)
- Rotate and audit access keys
- Least privilege IAM policies
- Encrypt EBS using AWS KMS
- Reduce public exposure (private subnets)
- Enable Trusted Advisor + VPC Flow Logs
aws-infrastructure-optimization-case-study/
├── README.md
└── artifacts/
├── ec2-rightsizing-analysis.md
├── reserved-instance-analysis.md
└── security-recommendations.md
Abhishek Pandey
LinkedIn: https://linkedin.com/in/abhishek-pandey-045241316
GitHub: https://github.com/abhishek071700