Real-Time Data Pipeline Costs
Kinesis Data Streams, MSK, and EventBridge each have different cost models. Choosing and right-sizing the right streaming service for transaction volumes significantly impacts monthly costs.
Cost Optimization & FinOps
AWS Cost Optimization for Fintech Companies
We optimize AWS costs for fintech companies — reducing real-time data processing costs, right-sizing financial databases, and managing compliance logging overhead without compromising regulatory requirements.
- Waste is found in the current bill — idle, oversized, uncommitted.
- The pass is written before anything is changed.
- Right-sizing covers idle and oversized capacity.
- Commitments are modeled, not bought on a hunch.
- You approve the spend change before we touch the account.
- Recovered spend is what remains after the change, in writing.
Key Challenges We Solve
DynamoDB Capacity for Transactions
Financial transaction processing has predictable hourly patterns (market hours) and unpredictable spikes. Choosing between on-demand and provisioned capacity — and when to switch — directly impacts costs.
Compliance Logging Costs
PCI DSS and SOC 2 require comprehensive logging. CloudTrail data events on high-volume S3 buckets, CloudWatch Logs for all application logging, and Security Hub findings accumulate significant monthly costs.
Over-Provisioned Production Databases
Financial workloads are often over-provisioned for peak trading hours. RDS and Aurora instances at peak capacity 24/7 waste 60-70% of compute outside market hours.
Our Approach
Streaming Service Cost Analysis
Kinesis vs. MSK vs. EventBridge cost modeling based on your actual message volume, retention requirements, and consumer count — identifying the most cost-effective architecture for your transaction processing patterns.
Database Cost Optimization
Aurora Serverless v2 analysis for variable trading workloads, DynamoDB on-demand vs. provisioned crossover analysis, and RDS Read Replica rightsizing for reporting workloads.
Compliance Logging Optimization
Targeted CloudTrail data events (PHI/financial data S3 buckets only), CloudWatch Logs tiering to S3 after 30 days, and Security Hub finding suppression for known-acceptable configurations — reducing logging costs 40-60%.
Frequently Asked Questions
Which is more cost-effective for transaction processing: Kinesis or EventBridge?
For high-volume transaction streaming (>1M events/day), Kinesis Data Streams is typically more cost-effective — you pay for shard hours regardless of volume, making it predictable at scale. EventBridge is more cost-effective for lower volumes (<100K events/day) with pay-per-event pricing. MSK (Kafka) becomes competitive at very high volumes with complex routing requirements. We model your specific volume and retention requirements to recommend the optimal choice.
Should financial transaction DynamoDB tables use on-demand or provisioned capacity?
For payment processing tables with predictable market-hours patterns, provisioned capacity with Application Auto Scaling is typically 30-40% cheaper than on-demand. Configure scaling policies to scale up pre-market-open (8am ET) and scale down post-close (5pm ET). Keep on-demand for tables with truly unpredictable access — fraud detection lookups, for example, can spike unexpectedly.
How do you optimize CloudTrail costs for a financial services environment?
CloudTrail management events are free. The cost is in data events — S3 object-level logging and Lambda invocation logging. For fintech, we enable data events only for S3 buckets containing sensitive financial data and Lambda functions in the PCI scope, rather than all buckets and functions. This typically reduces CloudTrail costs by 70-80% while maintaining compliance coverage.
Ready to Get Started?
Talk to our AWS experts about aws cost optimization for fintech companies.