OpsTrace is a local-first deployment workspace for moving an app from a local repository to a reachable URL with clearer checks, approvals, and evidence.
PythonFastAPITyperSQLiteDeployment safety
Interactive Walkthrough
Move through a deployment session
Project control center with deployment readiness and workspace context.
Problem
Deployments often fail for ordinary reasons: missing environment variables, unclear server state, undocumented commands, weak rollback notes, and no clean record of what happened.
What I Built
Local CLI and web dashboard for deployment planning
Project scanner for frameworks, Docker files, env hints, and health checks
Guided sessions with readiness checks, approvals, execution records, and reports
Read-only inspectors for servers, databases, storage, and cloud visibility
Redaction and policy checks before AI receives deployment context
Safety Model
OpsTrace is intentionally conservative. Secrets stay local, real env values are not exposed to AI context, provider outputs are redacted, unsupported actions are blocked, and execution stays narrow and approved.
Result
The project demonstrates backend-heavy operational software with real-world constraints: secrets, deployment risk, local tooling, user trust, production evidence, and practical AI workflow design.
