E-Commerce Platform Reduces Cloud Spend by 40% with Cloudshot
How a growing online retailer optimized their AWS infrastructure during peak shopping seasons.
40% Reduction
Annual Cost Savings
10+ Hours
Weekly Time Saved
2 Hours
Setup Time
Background
A rapidly growing e-commerce platform was experiencing significant spikes in cloud costs during seasonal shopping events.
With their infrastructure scaling automatically to handle increased traffic, they needed better visibility and control over their cloud spending.
The Challenge
They were facing the following challenges:
- Unpredictable cost spikes during high-traffic periods
- Difficulty identifying which services were driving cost increases
- Lack of proactive cost management tools
- Limited resources for manual cost optimization
The customer team found it increasingly hard to answer basic cost-related questions:
- "How can we maintain performance while controlling costs during peak periods?"
- "Which services are scaling inefficiently?"
- "How can we better forecast our cloud spending?"
Reporting was manual and time-consuming. It took more than 6 hours every week just to prepare reports for stakeholders.
They also struggled with accountability. It wasn't clear who owned which resources, and tags were often missing or inconsistent. And when costs spiked unexpectedly, they would notice only after the invoice arrived.
Why They Chose Cloudshot
The team was looking for a solution that was:
- Seamless integration with existing AWS infrastructure
- Real-time cost monitoring and alerts
- Automated optimization recommendations
- Minimal impact on development workflows
Cloudshot checked all the boxes.
Within an hour of onboarding, they had connected their accounts and were viewing cross-account costs in a single dashboard. There was no engineering effort needed.
Cloudshot offered:
- Real-time Cost Monitoring: Continuous tracking of resource usage and spending.
- Seasonal Analysis: Patterns and trends identification during high-traffic periods.
- Automated Scaling Recommendations: Suggestions for optimizing auto-scaling configurations.
- Resource Right-sizing: Identification of over-provisioned resources.
- Reserved Instance Planning: Strategic recommendations for long-term cost savings.
The Results
With Cloudshot in place, the customer was able to:
- 40% reduction in overall cloud spending
- Maintained performance during peak traffic periods
- Improved forecasting accuracy for budget planning
Over the course of a year, the customer saved
40% Reduction
These savings came from:
- Optimized auto-scaling configurations
- Right-sized over-provisioned instances
- Implemented strategic reserved instance purchases
- Eliminated unused resources and services
They also saved hours every week in manual effort time that the CloudOps team could now spend on higher-value tasks.
Conclusion
Cloudshot provided the visibility and automation needed to optimize cloud spending without sacrificing performance.
The platform now scales efficiently during peak periods while maintaining predictable costs.
The e-commerce team can focus on growth and customer experience rather than managing cloud infrastructure.
Ongoing optimization continues to identify new savings opportunities as the business evolves.
Ready to Take Control?
Start your free trial of Cloudshot today and take back control of your cloud costs.