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First, create azure-pipelines.yml file in the root directory of your project.

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1. Navigate to Pipelines > Create new Pipeline.

2. Select the source GIT repository which will be most probably your Azure repos Git.

3. Select the name of the repository.

4. Select Starter pipeline and add following content

   Code Block
   trigger: - qa steps: - script: docker run pricefx/pfxpackage pfxpackage -import -timeout 120 -url ${URL} -user ${PFX_USER} -password $(PFX_PASS) -partition ${PARTITION} -from . ${OPTIONS} displayName: 'Deploy QA' env: PARTITION: partition-qa URL: https://qa.pricefx.eu

Notes:

1. You should set the name of the job to correspond to your partition, eg. Deploy QA or Deploy PROD

2. You must set the PARTITION and URL variables for your environment

3. You must set which branch to use for the source under trigger section

4. Click Save. This will create azure-pipelines.yml file in the root directory of your project.

5. Click Variables and create variables PFX_USER and PFX_PASS CI variables must be set up by Azure admin as

   Set

   :

   • Add variable PFX_USER and set value to 'pfx.deploy' and click OK.

   • Add variable PFX_PASS and set to a strong password (at least 14 characters, at least 1 digit, at least 1 capital letter). Select “Keep this value secret” and click OK.

6. Create a user account 'pfx.deploy' in the target partitions (QA, PROD) which has General Admin privileges in each of the partitions where you want to enable deployment and set the password identical to the PFX_PASS variable.

Notes:

1. You should set the displayName to correspond to your partition, eg. Deploy QA or Deploy PROD

2. You must set the PARTITION and URL variables to the right values of your environment

3. You must set which branch to use for the source under trigger section