AWS engineering: serverless architectures on Lambda, event-driven data systems, and secure, cost-governed infrastructure. The cloud most of our production systems run on.
AWS complexity as a self-inflicted wound
AWS offers two hundred services and no opinion about which five you need, so architectures balloon: NAT gateways for traffic that never leaves, oversized RDS instances at four percent utilization, IAM policies wide enough to be incidents in waiting. Good AWS work is mostly the discipline of restraint.
What we build with AWS
- Serverless architectures on Lambda, SQS, EventBridge, and S3
- Data pipeline infrastructure with throttling, retries, and idempotency built in
- IAM and security posture reviews with least-privilege remediation
- Cost optimization: rightsizing, storage tiering, and architecture simplification
How we work
Start from the workload and pick the fewest services that carry it
Event-driven where it decouples, boring and synchronous where it does not
Least-privilege IAM from the first role, not the first audit
Tag, budget, and alarm so cost surprises die in staging
Typical stack
Frequently asked questions
For spiky or event-driven workloads, dramatically, since you pay per execution rather than per idle hour. For steady high-volume compute, provisioned capacity wins. We model your traffic shape and price both before choosing.
Yes. Security posture, cost, and architecture in one pass, delivered as a prioritized fix list rather than a hundred-page report. The Protego platform we built runs this exact serverless stack in production.