Objectives

  • Establish unified visibility across AWS accounts.
  • Identify opportunities for rightsizing and cost reduction.
  • Standardize cloud governance and optimization practices.
  • Minimize overprovisioned resources and operational inefficiencies.
  • Improve forecasting accuracy with transparent consumption insights.

Overview

The client experienced rising AWS costs without proper financial observability. MoreYeahs was engaged to analyze spend, identify inefficiencies, and build a Power BI cost dashboard. 

Challenges

  •  No clear understanding of:
  •  Cost distribution across services
  • Drivers behind increasing expenses
  •  Resource right-sizing needs
  •  Data transfer impact on spend 

Assessment Approach 

Analyzed AWS CUR, focusing on service cost, region, instance type, and data movement. Singapore region accounted for 87% of total spend. 

Key Findings

  1.  RDS Overspend
    Aurora Serverless v2 consumed high ACUs continuously; Multi-AZ instances and Aurora Proxy added unnecessary cost. 
  2. Data Transfer Inefficiencies
    Most outbound traffic bypassed CloudFront, leading to high egress charges. 
  3.  EC2 & Licensing Overspend
    Use of Ubuntu Pro and lack of Savings Plans increased monthly expenses. 
  4.  ElastiCache Redundancy
    Mixed node families and oversized clusters resulted in 20–30% unnecessary spend. 
  5. Savings Impact
    Estimated cost reduction from ~$3,813 to ~$2,502 per month (~34% savings). 

Deliverables

  •  AWS Cost Optimization Report
  •  Power BI dashboard
  •  Remediation roadmap
  •  Service-level savings estimates 

Conclusion

The client gained visibility into cost drivers, a clear optimization roadmap, and long-term FinOps governance maturity. 
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