An existing app was lifted into the cloud but never redesigned to use it well.
Service
Applications built cloud-native from the first commit.
We build microservices, serverless functions, and containerized apps designed around managed cloud services from the start, using Kubernetes, Docker, and provider-native tooling on AWS, Azure, or Google Cloud. Roles are matched to your stack after discovery, not staffed from a fixed template.
- Discovery & stack fitConfirm requirements and the right cloud services for the workload
- 02Service designDefine service boundaries, APIs, and data ownership
- 03Iterative buildsShip in short cycles with AI-assisted code generation and human review
- 04Integration & testingWire services together and validate against real usage patterns
- 05Launch supportSupport the first production releases and tune as load arrives
What this service helps you solve
Scaling one part of the app means scaling, and paying for, the whole thing.
Deploys are risky because services are too tightly coupled to release independently.
What’s included
How the service works
- 01
Scope the workload and confirm the right cloud services during discovery
- 02
Design service boundaries and data ownership before writing code
- 03
Build in short, reviewable iterations
- 04
Integrate services and test against realistic traffic
- 05
Support launch and hand off or continue as an ongoing team
Roles that may support this service
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
Questions about this service
It depends on your traffic shape, team size, and operational appetite. We model both during discovery and recommend whichever costs less to run and maintain for your actual load, not whichever is trendiest.
Yes, we integrate with the AWS, Azure, or Google Cloud environment and pipelines you already have rather than standing up parallel infrastructure, unless discovery finds a specific reason to change it.
Either works — a defined MVP or feature set fits well as a fixed-scope project with a set deliverable and budget, while a product under continuous development is better served by an ongoing team that scales with your roadmap.