AWS Cloud & DevOps
Cloud Architecture, Containerization, and Automated CI/CD Deployment
Cloud Infrastructure That Deploys Itself, Safely
A good cloud setup is invisible: code ships automatically, the bill is predictable, secrets are locked down, and nobody is afraid to deploy on a Friday. We design AWS architecture and the DevOps automation around it for businesses that want their infrastructure to be an asset, not a recurring emergency. This is not theory for us; it is how we run 15+ live production applications and 40+ deployment pipelines every day.
AWS Architecture, Right-Sized
The most expensive cloud mistakes are made at the whiteboard: too many moving parts, the wrong service for the job, and a bill that grows for no reason. We design with the smallest set of AWS services that actually solves the problem, S3 and CloudFront for storage and delivery, RDS for managed databases, Lambda where serverless fits, Bedrock for managed AI, ECR for containers, and Secrets Manager and IAM holding everything together. The goal is an architecture you can understand, afford, and grow.
CI/CD: Deploys Without Drama
Manual deployment is where outages and key-person risk come from. We automate it end to end:
- Build and ship on every change - GitHub Actions pipelines that build, test, and deploy automatically
- Containers - Docker so the app runs identically in development and production, with Traefik handling routing and automatic TLS
- Safe database migrations - automated, versioned, with a git-SHA rollback path when something needs to be undone
- Repeatable environments - no snowflake servers, no "it works on my machine," no deploy that only one person knows how to run
Security by Default
Credentials do not belong in environment variables or your repository. We keep 100% of secrets in AWS Secrets Manager, scope every permission with IAM, and use GitHub OIDC so pipelines reach AWS without long-lived keys to leak. Security is not a phase at the end; it is the default the system is built on.
Cost and Cleanup
Many engagements begin as a rescue: an account that grew organically, a bill nobody can explain, deploys done by hand, and credentials in a dozen env files. We audit what exists, fix the security and cost problems first, then automate the deployment so it stops being fragile. You keep what works and lose the parts that keep you up at night.
Cloud, On-Prem, or Hybrid
AWS is our default, but the same discipline applies anywhere. When keeping data in-house matters, we build on-premises and hybrid setups that pair with our NAS infrastructure and local AI work, and ongoing infrastructure support keeps it all running.
Frequently Asked Questions
Which AWS services do you work with?
The ones a real production system needs: S3 and CloudFront for storage and delivery, RDS for managed databases, Lambda for serverless, Bedrock for managed AI, ECR for container images, Secrets Manager and IAM for credentials and access, SES for email, SSM for operations, and Lightsail when a simple footprint is the right call. We pick the smallest set of services that solves the problem rather than over-architecting.
What does DevOps actually mean for my business?
In practice: your code deploys automatically, safely, and repeatably instead of by hand. We set up CI/CD pipelines that build, test, and ship on every change, containerize the app so it runs the same everywhere, automate database migrations with a clean rollback path, and keep every secret out of the codebase. The result is fewer outages, faster releases, and no single person who is the only one who knows how to deploy.
How do you handle secrets and security?
Credentials never live in environment variables or the repository. We keep 100% of secrets in AWS Secrets Manager, scope access with IAM, and use GitHub OIDC so pipelines authenticate to AWS without long-lived keys. This is the same standard we hold across every deployment we run.
Can you fix or take over an existing AWS setup?
Yes. A lot of engagements start as a cleanup: an account that grew organically, surprise bills, manual deploys, or credentials scattered across env files. We audit what is there, fix the security and cost problems first, then automate the deployment so it stops being fragile. You do not have to start from scratch.
Do I have to use AWS?
No. AWS is our default because we run it daily and it covers the most ground, but the same DevOps discipline (containers, CI/CD, automated migrations, secrets management) applies anywhere. We also build on-premises and hybrid setups, which pairs naturally with our NAS and local AI work when keeping data in-house matters.
Cloud Bill Out of Control, or Deploys by Hand?
Tell us what your stack looks like today. We will tell you where the security, cost, and reliability problems are, and what it takes to make deployment boring in the best way.