Infrastructure designed around the product
The objective is not the most complicated cloud architecture. It is an environment that is secure, observable, economical and easy to deploy.
- We choose technology based on the product, team and business problem
- The stack serves the product — not the other way around
- Google Cloud
- AWS
Core technologies
What we use in this category
Best for: Enterprise cloud estates
AWS
Broad cloud services for mature enterprise and product workloads.
Best for: Next.js apps
Vercel
Strong deployment path for Next.js and frontend-heavy products.
Best for: Services, CI, portability
Docker
Consistent environments across development and production.
Best for: Build and deploy pipelines
GitHub Actions
CI/CD close to the repository your team already uses.
What we build
Our bias: start simple
Add infrastructure complexity only when the product actually needs it. Over-engineered clouds create cost and delay without improving the customer experience.
- Hosting architecture
- CI/CD pipelines
- Development environments
- Secrets management
- Monitoring
- Logging
- Background processing
- Storage
- Serverless workloads
- Environment separation
FAQ
Questions teams ask
Straight answers on stack choices, fit, and how we engage.
Both are capable. We lean on Google Cloud when AI and data services matter together, and AWS when it matches an existing estate or team skills. The product and organization decide.
Yes. Pipelines, environments, secrets and release discipline are part of shipping — not an afterthought.
Often. We look for idle resources, over-provisioning and architecture choices that trade clarity for unnecessary cost.
Next step
Review your cloud architecture
We’ll assess what you have, what you need, and what you can safely simplify.
Discuss my project