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Infrastructure that scales itself — so you can focus on building.

AWS Serverless Architecture

Zero-ops infrastructure that scales automatically and costs only what you use. I design event-driven systems on Lambda, DynamoDB, and API Gateway that are production-ready from day one.

What is AWS Serverless Architecture?

AWS serverless architecture runs your application without provisioning or managing servers. Compute happens in AWS Lambda functions that start on demand, data lives in managed services like DynamoDB, and traffic flows through API Gateway — each scaling automatically from zero to millions of requests and billed only for what you actually use. I design these systems event-driven and define every resource as code with the AWS CDK, so deployments are reproducible and auditable. It fits teams that want production-grade APIs, data pipelines, or integrations without the cost and overhead of always-on servers, and that value fast iteration over managing infrastructure.

Serverless architecture eliminates the need to provision, scale, or maintain servers. With core services like AWS Lambda, DynamoDB, and API Gateway, your applications respond to demand in real time — scaling from zero to millions of requests without manual intervention.

I design event-driven systems using Infrastructure as Code (AWS CDK), ensuring every deployment is reproducible, auditable, and version-controlled. From REST APIs to real-time data pipelines, my serverless architectures are built for production from day one.

The result: lower operational costs, faster time to market, and infrastructure that grows with your business — not against it.

Key Benefits

Zero Ops Overhead

No servers to patch, scale, or monitor. AWS handles the infrastructure so your team focuses on features.

Pay Only for Usage

No idle compute costs. You pay per request and per millisecond of execution — nothing more.

Infinite Scalability

From zero to millions of requests automatically. No capacity planning, no bottlenecks.

What's Included

Serverless Architecture
Infrastructure as Code
Event-driven microservices
Pay-per-use cost model

Use Cases

REST & GraphQL APIs with automatic scaling
Event-driven data processing pipelines
Real-time webhooks and integrations
Scheduled batch jobs and ETL workflows

Proof, not just promises

I run my own products on the same AWS serverless stack I build for clients. GeoHook — a live geofencing-to-webhook service — is built end to end on AWS Lambda, DynamoDB, and API Gateway and deployed as Infrastructure as Code. It's a working example of the architecture, reliability, and cost model described on this page.

Frequently Asked Questions

What is AWS Serverless and why should I care?

AWS Serverless means you run applications without managing servers. Services like Lambda, DynamoDB, and API Gateway automatically scale with demand and you only pay for actual usage. This eliminates idle server costs, reduces operational overhead, and lets your team focus on building features instead of maintaining infrastructure.

How do you ensure GDPR compliance for AI solutions?

I build on AWS Bedrock, which processes data in the EU region (Frankfurt) and doesn't use your data for model training. All my AI architectures include data residency controls, consent management, and audit trails. I design for GDPR compliance from the start — it's not an afterthought.

What does a Fractional CTO engagement look like?

A Fractional CTO engagement typically starts with a technology audit and strategy session. From there, I work with you on an ongoing basis — usually a few days per month — covering architecture decisions, team mentoring, vendor evaluation, and roadmap planning. You get C-level expertise without the full-time salary.

How much can serverless save compared to traditional infrastructure?

Most clients see 40-70% cost reduction after migrating to serverless. The savings come from eliminating idle compute costs, reducing ops overhead, and paying only for actual usage. I provide a detailed cost analysis before any migration to quantify your specific savings potential.

Do you work with international clients?

Yes. I work with clients across Europe and beyond, with experience in cross-border data compliance and multi-region AWS deployments. My GDPR expertise is particularly valuable for companies operating in or selling to the EU market.

What's the typical engagement timeline?

It depends on the scope. A serverless architecture review takes 1-2 weeks. An AI agent MVP typically takes 4-8 weeks. A full cloud migration can span 2-6 months. In a free initial call, I'll map out a timeline tailored to your specific needs and priorities.

Let's Build Something Great

Ready to transform your ideas into reality? Let's discuss how we can help.

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