Package apps
Use Docker and Compose so apps, APIs, workers, and dependencies run the same way for every developer.
I turn fragile setup steps into documented Docker, AWS, remote access, and deployment workflows that teams can repeat.
What this solves
Cloud work is most useful when it removes repeated manual steps. The setup should make local development, staging, production, logs, and recovery easier to understand.
Use Docker and Compose so apps, APIs, workers, and dependencies run the same way for every developer.
Set up practical runtime boundaries across storage, compute, networking, environment variables, and releases.
Support private network paths, remote development, Linux/WSL2 workstations, and clear access rules.
How it works
The structure should make development, testing, deployment, access, and rollback easier to reason about.
01 / Package
Containerize apps and services so local, staging, and production environments behave consistently.
02 / Configure
Move secrets, URLs, model paths, and service endpoints into environment-aware configuration.
03 / Deploy
Use CI-friendly scripts and cloud conventions to reduce fragile hand-run deployment commands.
04 / Operate
Document remote access, logs, backups, network rules, and recovery paths for maintainable operations.
Runtime Shape
$ docker compose up --build
api_service ready on :3000
rag_worker connected to vector store
gateway routes model requests
$ deploy production
release completed with versioned config
The same pattern can support normal full-stack apps, dashboards, backend APIs, and heavier AI services that need predictable local and remote execution.
Operational Priorities
Keep commands scriptable so tests, builds, and deploy checks can run outside one developer machine.
Support headless Linux, VS Code Server, SSH, WSL2, or private mesh access when local hardware is not enough.
Separate public app access from admin, model, database, and internal service paths.
Platform Delivery
I can help turn fragile setup steps into documented, repeatable workflows across local development, staging, production, and AI service environments.