AWS cloud engineering
We design, build, and run production systems on AWS, defined as Terraform infrastructure as code and shipped through CI/CD pipelines.
Compute and data, matched to the workload
AWS is broad, and the skill is picking the right pieces. We run long-lived services on ECS Fargate, event-driven work on Lambda, and data on RDS PostgreSQL with S3 for storage. Each choice is made for your workload and budget, so you are not paying for capacity or complexity you do not use.
- ECS Fargate for services
- Lambda for event-driven work
- RDS PostgreSQL and S3
Networking, CDN, and access done right
We set up VPCs, load balancing, and CloudFront so traffic is fast and secure, and configure IAM so each part of the system has exactly the access it needs and no more. Getting the foundations right early is what stops small AWS setups from turning into something fragile later.
- VPC and load balancing
- CloudFront CDN
- Least-privilege IAM
Scaling and observability
We configure auto-scaling where demand actually varies, and add CloudWatch metrics, logs, and alarms so you can see how the system behaves. That keeps the service responsive under load and surfaces problems and cost spikes early, rather than letting them show up on the bill or in a user complaint.
- Auto-scaling tuned to demand
- CloudWatch metrics and alarms
- Early warning on cost and errors
Repeatable, defined as code
Your whole AWS environment is built with Terraform, so it is version controlled, reviewable, and easy to recreate. Staging mirrors production, changes go through review, and nothing depends on remembering which buttons someone clicked. That is what makes AWS dependable rather than a black box.
- Terraform infrastructure as code
- Staging that mirrors production
- Reviewable, repeatable changes
The cloud under your stack
We run AWS as part of building on it, from Django and FastAPI services to full cloud architecture. Need a specialist? You can hire a senior AWS solutions architect.
AWS questions
The ones your workload needs, commonly EC2, ECS Fargate, Lambda, S3, RDS PostgreSQL, CloudFront, VPC, IAM, and CloudWatch. We pick deliberately rather than defaulting to a fixed stack, and define it all with Terraform.
Yes. We assess your current setup, plan the migration in steps, and move production with minimal downtime, testing at each stage so we can roll back if needed.
We right-size resources, use auto-scaling only where demand varies, and set CloudWatch alarms so cost and usage spikes are visible before they reach the invoice.
Let's build, scale, or automate it.
Hire a full senior team or a single specialist across frontend, backend, AWS, DevOps, and AI. You work directly with the engineers, not an account manager.