# Docker-in-Docker configuration

The Docker-in-Docker pipeline configuration allows you to use the [Meterian Dockerized Client](/the-client/the-meterian-client-dockerized.md) directly in your pipeline. The key advantage of this configuration is that you do not have to worry about installing the supporting tooling that would be used to perform a scan on your project beforehand as it is already provided in our Docker image.

The example below uses a very specific tag `latest-java`. This Meterian Dockerized Client tag ensures that a variant which only includes the tooling to support Java scans (the java runtime, Maven, Gradle, Ant) is employed for the analysis. This ensures that build times are reduced as language-specific variants images are considerably lighter than the main (`latest`) image that contains all the tooling for the languages we support.

```
meterian-analysis:
 image: docker:latest
 
 services:
   - docker:dind
 
 stage: test
 
 script:
   - ROOT=`pwd`
   - METERIAN_IMAGE=meterian/cli:latest-java
   - docker pull --quiet $METERIAN_IMAGE
   - METERIAN_CLI_OPT="--report-console"
   - docker run --rm --volume $ROOT:/workspace --env METERIAN_API_TOKEN=$METERIAN_API_TOKEN $METERIAN_IMAGE $METERIAN_CLI_OPT

```

You can also pin a specific version of the image, like docker:20.10.16. If you use a tag like docker:latest, you may have no control over which version is used, and in certain situations this can cause incompatibility problems when new versions are released.

```
meterian-analysis:
  image: docker:20.10.16

  services:
    - docker:20.10.16-dind

  stage: test
 
 script:
   - ROOT=`pwd`
   - METERIAN_IMAGE=meterian/cli:latest-java
   - docker pull --quiet $METERIAN_IMAGE
   - METERIAN_CLI_OPT="--report-console"
   - docker run --rm --volume $ROOT:/workspace --env METERIAN_API_TOKEN=$METERIAN_API_TOKEN $METERIAN_IMAGE $METERIAN_CLI_OPT

```

A live example can be found in this[ sample project based on Java](https://gitlab.com/MeterianHQ/sample-java-spring) hosted on GitLab.


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