Grafana MongoDB Atlas Logs Datasource

MongoDB Atlas allows to fetch logs from their service. More information can be found here: https://docs.atlas.mongodb.com/reference/api/logs/

This plugin allows to fetch process, database and disk logs from MongoDB Atlas in your Grafana dashboard. This allows you to monitor your whole MongoDB Atlas infrastructure within your grafana dashboards.

Installation

Grafana Setup

You can load the latest plugin version with the following command:

grafana-cli --pluginUrl https://github.com/valiton/grafana-mongodb-atlas-datasource/releases/v3.0.1/download/valiton-mongodbatlas-datasource.zip plugins install valiton-mongodbatlas-datasource

For docker setup add the following environment variable to automatically install the plugin:

docker run -p 3000:3000 \
  -e GF_INSTALL_PLUGINS="https://github.com/valiton/grafana-mongodb-atlas-datasource/releases/download/v3.0.1/valiton-mongodbatlas-datasource.zip;valiton-mongodbatlas-datasource" \
  -e "GF_PLUGINS_ALLOW_LOADING_UNSIGNED_PLUGINS=valiton-mongodbatlas-datasource" \
  grafana/grafana:8.0.0

Note: Plugin ID was changed from mongodb-atlas-datasource to valiton-mongodbatlas-datasource from v3.0.0 on due to the new plugin naming convention!

For more information about the plugin installation have a look at the plugin official documentation.

Usage

Create datasource

After installing the datasource in Grafana (see Grafana Setup section), you can create a Grafana datasource.

Please enter here your programmatic API key credentials in the two input fields and click on enter. If the credentials are valid, you will see a green info box. For more information, have a look at the MongoDB Atlas documentation to create these credentials.

Create Panel

After setting up the datasource, you are able to create a query for a Grafana panel. You have to first select here the project you want to monitor and the cluster. After that, you can select one of three different metrics:

1. Process logs,
2. Database logs and
3. Disk logs

Next, you are asked different other parameters, such as the database name and then you can select the dimension you want to display in the query. To name the query, please use the alias input. You can use {{name}} to use metrics or dimensions for the name (see hint field of alias for more information).

Dev setup

Frontend

1. Install dependencies

   yarn install

2. Build plugin in development mode or run in watch mode

   yarn dev

   or

   yarn watch

3. Build plugin in production mode

   yarn build

Backend

1. Update Grafana plugin SDK for Go dependency to the latest minor version:

   go get -u github.com/grafana/grafana-plugin-sdk-go
   go mod tidy

2. Build backend plugin binaries for Linux, Windows and Darwin:

   mage -v

3. List all available Mage targets for additional commands:

   mage -l

Limitations

• Annotations are not supported yet

Contributing

Pull requests for new features, bug fixes, and suggestions are welcome!

Release

1. Add Release Notes to Changelog in CHANGELOG.md

2. Update package.json version

3. Create Tag with format vx.y.z

We use semversion format for tagging the releases.´

4. Create Release Zip

yarn install
npm run build
mage -v
rm -Rf valiton-mongodbatlas-datasource && \ 
  cp -R dist valiton-mongodbatlas-datasource

Next, please remove all dev-related topics from the valiton-mongodbatlas-datasource/README.md file. Otherwise, we can not publish it as Grafana plugin (only keep introduction & usage section).

Next, bundle it as

zip -r valiton-mongodbatlas-datasource.zip ./valiton-mongodbatlas-datasource

5. Create Release with zip files as attachment

see https://help.github.com/en/articles/creating-releases for more information

Changelog

Changelog

License

MIT

Thanks to

We also want to thank the Grafana team for their Github Datasource that helped us to get started and we also used some of their code parts. This decreased our development effort a lot, which made it easier for us to switch to the new Grafana Plugin v2 version! :-)