Optimizing Cloud Costs & Infrastructure Efficiency
WhiteCup leverages cloud-based infrastructure to power its CRM and BI solutions, enabling businesses to streamline operations and gain actionable insights. However, increasing cloud costs were impacting overall efficiency and profitability.
Client:
Whitecup

WhiteCup leverages cloud-based infrastructure to power its CRM and BI solutions, enabling businesses to streamline operations and gain actionable insights. However, increasing cloud costs were impacting overall efficiency and profitability. By implementing a structured cost optimization strategy, WhiteCup significantly reduced its cloud spend while improving system performance and scalability.
π Industry: CRM, BI, AI-Driven Analytics Software
π Key Technologies / Platforms: AWS (EC2, RDS, S3, Lambda), Kubernetes, Terraform, Cost Explorer, Auto Scaling
The Challenge
As WhiteCup expanded its cloud-based offerings, its AWS infrastructure costs surged due to: Β
β Underutilized resources β Several EC2 instances and RDS databases were over-provisioned.
β Lack of auto-scaling β Servers ran 24/7, even during non-peak hours.
β Unused storage & snapshots β Old snapshots and unoptimized S3 storage led to unnecessary costs.
β Expensive licensing β WhiteCup used on-demand pricing instead of reserved instances.
These inefficiencies resulted in unnecessary cloud expenses and lower cost predictability.
The Solution: Cost Optimization Strategies Implemented
1οΈβ£ Compute Cost Optimization (EC2 & RDS)
- Right-Sized Instances: Identified oversized EC2 and RDS instances and adjusted them based on actual usage.
- Reserved Instances & Savings Plans: Migrated from on-demand to 1-year Reserved Instances (RIs) and Compute Savings Plans.
- Auto-Scaling Implementation: Enabled EC2 Auto Scaling based on traffic patterns, reducing idle resource costs.

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2οΈβ£ Storage Optimization (S3 & Snapshots)
- S3 Lifecycle Policies: Moved infrequently accessed data from S3 Standard to S3 Intelligent-Tiering.
- Unused Snapshots Cleanup: Automated deletion of old EBS snapshots.
- Data Compression & Deduplication: Compressed large BI logs before storing them in S3.
3οΈβ£ Cost Monitoring & Governance
- AWS Cost Explorer & Budgets: Β
- Set up automated alerts for cost anomalies.
- Implemented tag-based cost tracking for each product team.
- CloudWatch Cost Savings: Β
- Identified and removed unused metrics to reduce CloudWatch costs.
- FinOps Best Practices: Established monthly cost review meetings to ensure continued savings.

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Impact & Results
β π° Significant overall cost reduction on AWS by 25 %
β π Optimized EC2 & RDS instances through right-sizing & reservations
β π Lowered storage costs by optimizing S3 & snapshots
β π Reduced CloudWatch costs by eliminating unused metrics
These strategies helped WhiteCup improve cloud efficiency, reduce waste, and optimize costs while maintaining high performance.
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