Transaction Processing Latency
Processing financial transactions with single-digit millisecond latency using DynamoDB and Lambda, even during peak volumes.
Serverless & Lambda Consulting
AWS Serverless for Fintech Applications
We build serverless fintech applications on AWS that process transactions in milliseconds, scale automatically during peak trading hours, and cost nothing during off-hours.
- An event arrives — API, queue, or schedule.
- A function handles one unit of work.
- Integration is the bus and the store, not a hidden hop.
- Traces and alarms are in the same change as the function.
- Deploys stop on the pipeline check, not after customers see it.
- Capacity follows load; idle time is not a fleet you pay for.
Key Challenges We Solve
Exactly-Once Processing
Ensuring financial transactions are processed exactly once using DynamoDB transactions, idempotency keys, and Step Functions.
Regulatory Compliance
Meeting PCI DSS, SOC 2, and financial regulatory requirements while using serverless services.
Event-Driven Workflows
Orchestrating multi-step financial workflows — payment authorization, settlement, reconciliation — with reliable error handling.
Our Approach
Serverless Payment Processing
API Gateway + Lambda + DynamoDB for payment APIs with sub-100ms latency, automatic scaling, and PCI-compliant architecture.
Transaction Orchestration
Step Functions saga pattern for multi-step financial workflows with automatic compensation on failure.
Real-Time Event Processing
EventBridge and Kinesis for real-time transaction monitoring, fraud detection triggers, and compliance event streaming.
Frequently Asked Questions
Is AWS Lambda fast enough for payment processing?
Yes. Lambda with Provisioned Concurrency delivers consistent sub-100ms execution times. Combined with DynamoDB single-digit millisecond reads, the total payment API latency is typically under 200ms — well within payment processor SLA requirements.
How do you ensure transaction consistency with serverless?
DynamoDB supports ACID transactions across up to 100 items. For multi-service transactions, Step Functions implements the saga pattern with automatic compensating transactions on failure. Idempotency keys prevent duplicate processing.
Can serverless fintech platforms handle peak trading volumes?
Yes. Lambda scales to thousands of concurrent executions in seconds. DynamoDB on-demand mode handles any traffic spike without capacity planning. There is no need to pre-provision for peak — serverless scales automatically.
Ready to Get Started?
Talk to our AWS experts about aws serverless for fintech applications.