Meterian
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Meterian
Meterian
The client
Meterian Thin Client
Using the client from your command line
Using the client in your CI/CD pipeline
General operations
System requirements
Command line parameters
The Dockerized Client
THE METERIAN DASHBOARD
The Web Dashboard
Advanced functionalities
Sentinel - Meterian Notifications service
Troubleshooting
Github Badges
Introduction
Public repository
Private repository
ONLINE INTEGRATIONS
GitHub Action
Bitbucket Pipe
Azure DevOps Pipelines
Languages support
Introduction
Java/Kotlin/Scala
NodeJS
Javascript
Python
Ruby
PHP
.NET
Golang
Swift / Objective-C
Rust
Elixir (erlang)
Perl
C/C++
Special platfoms
Jupyter Notebooks
Unity Packages
Containers support
Container Scanner
CI SERVER INTEGRATIONS
Introduction
Generic CI
Jenkins
Azure DevOps
Using the Docker image
Using the Java Thin client
Bamboo
TravisCI
CircleCI
TeamCity
GitLab CI/CD
CodeShip
AWS CodeBuild
Concourse CI
Meterian API
API basics
Authorizing the APIs
Account APIs
Samples
Management Platforms
Threadfix
DefectDojo
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Azure DevOps

How to integrate Meterian with Azure DevOps pipeline

In order to execute the Meterian analysis in Azure DevOps pipeline you will need first to choose the integration that best suits your needs:
Using the Dockerized image can be convenient as it contains, by default, all the tools you need to run your analysis: you won't need to install anything else. However, when a complex pipeline is used, in presence of a docker-in-docker setup or when specific version of the tooling is needed, you can always revert to the Java Thin client. This will require you to install all the tools you need but it will grant you greater control to the specifics of the environment, including of course specific version of tools.
When creating the pipeline, or just by opening the Edit panel, rember to set the METERIAN_API_TOKEN environment variable. Please note that checking the 'Keep this value secret' option will prevent the script from working as it will not be able to read it
To retrieve a Meterian API Token visit the Meterian Dashboard; in your account select the tab "Tokens" and create a new one, or use an existing one.
API tokens are available only on paid accounts: to upgrade your subscription, please contact us.

How does it work

When the script specified in the configuration file is executed, the latest version of the Meterian client gets downloaded in the home folder of the machine and the Meterian client is launched against the source code.
At the end of the scan the pipeline task will pass or fail depending on the scan results.
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Using the Docker image
Last modified 8mo ago
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How to integrate Meterian with Azure DevOps pipeline
How does it work