Adios
Apps and APIs · plans from $10/month

Deploy Flask.Replace the debug server.

Take a Flask application from a local development server to a persistent Gunicorn process with a documented port, health check, logs, and production route.

Deploy my projectDeploy a template
Keep the repositoryInspect build and logsCustom domains and TLS
Adios deploy

Candidate release

Flask

Healthy

SOURCE

Git

REGION

de

ROUTE

HTTPS

01Source received

02Build completed

03Runtime started

04Health check passed

Promoted route

production.adios.run

A production path for

FlaskGunicornWSGIREST APIspipPipenv

The production path

A working Flask project still needs a safe release.

The application or service is only one part of production. Build evidence, runtime state, health, secrets, logs, routes, and the promoted version should remain inspectable together.

Keep the Flask build you already use

Install the exact locked dependencies and keep the application import target in source control. No provider-specific wrapper needs to replace the Flask project structure.

Promote the version that reports healthy

Run the WSGI app with Gunicorn rather than flask run, bind to the configured port, and promote only after the lightweight health route responds.

Trace production back to source

Build output, runtime logs, health state, secrets, domains, and the promoted release stay attached to the project instead of being split across unrelated tools.

From source to release

Three steps keep the deployment path reviewable.

Use the source and production behavior the project already has. The manifest records what the platform should build or provision and how the result becomes ready.

  1. 01

    Start with source or a template

    Bring the existing repository, or inspect and deploy one of the exact starter variants linked below.

    $adios login
  2. 02

    Review the deployment contract

    Keep commands, runtime or service version, health behavior, and secret references in adios.yaml.

    $git diff -- adios.yaml
  3. 03

    Deploy and inspect the result

    Follow build and runtime evidence, verify the candidate, and open the promoted route or service connection.

    $adios up
adios.yaml
Your project
name: flask-api
build_cmd: pip install -r requirements.txt
start_cmd: gunicorn --bind 0.0.0.0:8000 app:app

runtime:
  name: python@3.13
  port: 8000
  health_path: /healthz
Change app:app to the module and application object exported by your project.

Deployable starting points

Start Flask from a template when the repository is not ready.

Start from a Flask variant using pip or Pipenv, then replace the example route with your application code.

API starters

Python Flask

FastAPI, Django, Flask, Litestar, and Sanic starters with production start commands.

Pythonpip
Template key
python-flask
Runtime
python
Repository
template-python-flask
Source path
.
git clone https://github.com/adiosdotdev/template-python-flask.git
cd template-python-flask
adios up
DeployView source

API starters

Python Flask with Pipenv

FastAPI, Django, Flask, Litestar, and Sanic starters with production start commands.

Pythonpipenv
Template key
python-flask-pipenv
Runtime
python
Repository
template-python-flask-pipenv
Source path
.
git clone https://github.com/adiosdotdev/template-python-flask-pipenv.git
cd template-python-flask-pipenv
adios up
DeployView source
Review the Python runtime guide

Before production

Verify the workload.Then promote it.

The safest first release starts with a reproducible build or service configuration and a preview that exercises the dependencies production will actually use.

Ready when…

  • The app imports without the Flask debug reloader.
  • Gunicorn starts from a clean checkout.
  • The process binds to 0.0.0.0 on the manifest port.
  • Session keys and service credentials are secret-backed.

Preview when…

  • The app writes uploads or generated files to local disk.
  • Native packages are required during dependency installation.
  • Request timeouts or worker counts need traffic testing.

Questions, answered

What to know before deploying Flask.

Review the runtime or service boundary, template path, failure behavior, and production checks before creating the first release.

Can Adios deploy an existing Flask project?

Yes. Run the Adios CLI from the project root, keep the repository and dependency files you already use, and add an adios.yaml file that describes the production build, start command, port, and health path.

Do I need Docker to deploy Flask?

Not for a standard supported runtime. Use the project's normal production commands in adios.yaml. If the build needs unusual operating-system packages or native libraries, verify those dependencies in a preview before promotion.

Can I use a Flask application factory?

Yes. Point the production start command at the factory syntax supported by your WSGI server, then confirm the app initializes correctly with production environment variables.

Can Flask serve an API and scheduled work?

Use the Flask process for HTTP traffic and keep scheduled or long-running work in a separate worker or Adios workflow. This prevents request serving and background retries from competing silently.

What happens when the build or health check fails?

The candidate release keeps its build and runtime output for inspection. It must report healthy before it becomes the promoted version serving the application route.

Can I start from a template instead of an existing repo?

Yes. This page links to the closest official Adios Flask starters. Inspect the exact source variant, deploy it in the console, or clone it locally and run adios up.

Related deployment paths

Connect the rest of the stack.

Browse all deployment pages

Deploy Python

Run a Python web app or worker with the dependency file, process command, health route, and secret-backed configuration kept beside the source.

Deploy FastAPI

Deploy a FastAPI service with its ASGI import target, dependency install, runtime port, health endpoint, secrets, and promoted release tied to source.

Deploy PostgreSQL

Choose a PostgreSQL version, keep database credentials out of Git, attach persistent storage, connect the application, and verify data after a restart.

Deploy Redis

Start Redis 7 for cache, session, pub/sub, or fast state workloads, then verify connectivity, persistence expectations, eviction, and dependency failure behavior.

The first release

Deploy Flask with the source and evidence attached.

Start from the repository or a template, review the deployment contract, and inspect what becomes the promoted production version.

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