Roptal connects GitHub to your own cloud accounts, reconstructs the runtime, generates reviewable Docker assets, deploys to production targets, then keeps logs, cost, drift, and release controls in one place.
Product story
Watch a narrated walkthrough from GitHub repository to a live ML endpoint.
The deployment story
01 / Connect
GitHub App permissions stay scoped to selected repositories. Roptal reads structure, manifests, entry points, model files, and branch context without turning your codebase into a black-box upload.
02 / Reconstruct
The runtime analyser and CLI capture Python, CUDA, package imports, exposed ports, model artifacts, and system libraries so the cloud build is anchored to real execution conditions.
03 / Review
Dockerfiles, compose files, handlers, and dockerignore output are inspectable and editable. Automation proposes the plan; engineers approve the change.
04 / Operate
Live logs, health verification, budgets, cost explorer, drift signals, webhooks, canary release, blue-green, rollback, and migration are part of the same operating plane.
Architecture
Roptal orchestrates authenticated API calls, encrypted credentials, generated build artifacts, deployment jobs, and signed callbacks. Your infrastructure remains in accounts you control.
RoptalProduct surfaces
SSE logs / live stages
generated vs repository
forecast / platform spend
scan_repository / deploy_model
HMAC / replay / history
canary / promote / rollback
Developer plane
The console is not the only interface. Use the legacy-compatible CLI, JSON API, webhook delivery system, or MCP tools to fold Roptal into existing engineering workflows.
Security posture
Code, cloud credentials, payment state, deployment logs, and AI tooling all meet in one product. Roptal is designed around explicit auth, reviewable generated files, and cloud ownership.
Start with a repository, connect provider credentials, review generated artifacts, and deploy into the infrastructure your team already owns.