Case Study
Reducing AWS Cost for a B2B SaaS Platform
Infrastructure spend was rising faster than revenue as traffic increased.
Client Type
B2B SaaS platform
Result
40% AWS cost reduction
Detailed Breakdown
Infrastructure cost was increasing faster than revenue as the platform scaled. The system was functional, but inefficient resource usage and poor scaling decisions were driving unnecessary spend.
Problem
Infrastructure spend was rising faster than revenue as traffic increased.
- Over-provisioned services
- Inefficient background jobs
- Suboptimal database usage
- Autoscaling not aligned with real traffic patterns
Solution
Focused on eliminating waste and improving scaling behaviour:
- Right-sized EC2 and container workloads
- Optimised background jobs and queue usage
- Improved database query efficiency and indexing
- Refined autoscaling policies based on actual load patterns
Technical Approach
- Analysed infrastructure usage patterns (CPU, memory, I/O)
- Identified idle and underutilised resources
- Reworked job processing flow for better throughput
- Tuned database queries and reduced redundant calls
Result
🔥 40% AWS cost reduction
- Significant drop in monthly infrastructure spend
- More predictable scaling behaviour
- No impact on performance or reliability