AWS Development Services
We design, build and run applications on AWS, from serverless back ends to containerized APIs, sized to real traffic.
What we build on AWS
Serverless apps
APIs and event-driven back ends on Lambda, API Gateway and DynamoDB that scale down when idle.
Containerized APIs
Services in containers behind a load balancer, often Node.js.
Data and storage
S3 for files, DynamoDB or a managed relational database for app data, with backups.
Infrastructure as code
Environments defined in code and deployed by pipelines, with our DevOps consulting services.
Security and monitoring
Least-privilege IAM, encrypted data, CloudWatch alarms and logs from the first release.
AI workloads
Hosting for AI features and data pipelines, with private networking and logging.
How an AWS project runs
Whether we start from an empty account or yours, the work follows the same steps.
Step 1: Access setup
Separate environments and least-privilege roles, with no shared root access.
Step 2: Architecture
Serverless, containers or both, sized to expected traffic.
Step 3: Infrastructure as code
Every resource in code, reviewed and repeatable.
Step 4: Pipelines and alerts
CI/CD for each change, plus dashboards and alarms.
Node.js
Python
.NET
Next.js
React
DynamoDB
OpenAI
Anthropic ClaudeAWS development FAQs
How do you keep AWS costs under control?
We size resources to real usage, use serverless or autoscaling where traffic varies, and set budget alerts. Tags show which feature spends what, and regular reviews remove idle resources.
Can you take over an existing AWS account?
Yes. We review the architecture, IAM, security settings, backups, monitoring and spend, fix the urgent risks, then move the infrastructure into code step by step.
Is serverless on AWS right for our app?
Often, when traffic is spiky or hard to predict: Lambda and DynamoDB scale up at peaks and down to almost nothing when idle. Steady, heavy workloads and long-running jobs usually fit containers better, and many apps use both.
Tell us what you're building.
