Start MongoDB from a versioned template
Use the MongoDB 7 template and initialize administrative credentials through secret references rather than committing passwords to the manifest.
Data services · plans from $10/month
Deploy MongoDB.Keep document data durable and credentials private.
Start MongoDB 7 with persistent storage, protect administrative credentials, connect the application database, and verify writes after a restart.
Keep the repositoryInspect build and logsCustom domains and TLS
Adios deploy
Candidate release
MongoDB
SOURCE
Git
REGION
de
ROUTE
HTTPS
01Source received
02Build completed
03Runtime started
04Health check passed
Promoted route
production.adios.run
A production path for
MongoDB 7Document dataPersistenceSecretsApplication databases
The production path
A working MongoDB 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.
Make persistence an explicit decision
The official template attaches a persistent data volume. Define backup, restore, capacity, and version-upgrade expectations before it becomes the system of record.
Keep service state visible to operators
Connect with an application user, insert and read representative documents, restart the service, and verify data plus client reconnect behavior.
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.
- 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 - 02
Review the deployment contract
Keep commands, runtime or service version, health behavior, and secret references in adios.yaml.
$git diff -- adios.yaml - 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 projectname: document-db
template: mongodb:7
env:
MONGO_INITDB_ROOT_USERNAME: root
MONGO_INITDB_ROOT_PASSWORD: secret://MONGO_INITDB_ROOT_PASSWORDCreate a separate application user after initialization instead of using the root credential from application code.
Deployable starting points
Start MongoDB from a template when the repository is not ready.
The MongoDB 7 template provides a persistent service starting point and an exact source path you can inspect before deployment.
Data services
MongoDB 7
A MongoDB 7 template with persistent storage and an app database.
Document dataAdios managed
- Template key
- mongodb:7
- Runtime
- mongodb
- Repository
- templates
- Source path
- mongodb/7
git clone https://github.com/adiosdotdev/templates.git
cd templates/mongodb/7
adios upBefore 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…
- Root and application credentials are separate.
- The application database and indexes are reproducible.
- Clients reconnect after a service restart.
- Backup and restore ownership is documented.
Preview when…
- A schema or index migration touches a large collection.
- The app changes MongoDB major versions.
- Replica-set-specific behavior is required.
Questions, answered
What to know before deploying MongoDB.
Review the runtime or service boundary, template path, failure behavior, and production checks before creating the first release.
Can I deploy MongoDB from an official template?
Yes. Choose the MongoDB template that matches the version or configuration you need, store credentials as Adios secrets, and deploy it from the console or with adios up.
Does the MongoDB template use persistent storage?
The official template attaches a persistent data volume. Define backup, restore, capacity, and version-upgrade expectations before it becomes the system of record.
Is the landing URL /deploy-mongo or /deploy-mongodb?
This page uses the common search term Mongo in its URL while describing MongoDB accurately throughout the content and linking to the MongoDB template and documentation.
Can a Node.js or Python app connect to this MongoDB service?
Yes. Inject the application connection value as a secret and test authentication, indexes, writes, reads, reconnects, and failure behavior.
Where should database and broker passwords be stored?
Store sensitive values in Adios secrets and reference them with secret://NAME. Do not place production credentials directly in adios.yaml or commit them to Git.
What should I verify before production traffic?
Verify authentication, application connectivity, write and read behavior, restart persistence, backup or recovery expectations, capacity, and the failure behavior of every dependent application.
Related deployment paths
Connect the rest of the stack.
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 MySQL
Start MySQL 8 with persistent storage, create a dedicated application database and user, protect both passwords, and verify data after restart.
Deploy Node.js
Deploy a persistent Node.js web process or worker from its existing package scripts, with release health, logs, secrets, routing, and Git history attached.
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.
The first release
Deploy MongoDB 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.