SAP CLOUD INTEGRATION CI/CD USING GITLAB
WRITTEN BY
INTEGRATION
In this blog I have explained how to deploy and run CI/CD pipeline for SAP Cloud Integration artifact using GitLab.
By the end of this article you would be able to deploy a basic CI/CD pipeline for your artifact.
pre-requisite:
1. SAP Cloud Integration trial account.
2. An existing cloud integration flow.
3. GitLab with an active runner.
1. Create a new project in GitLab:
2. Modify the YAML config file :
Update the YAML file to deploy the integration artifact using Piper.
Piper is an open source tool to implement continuous delivery.
Replace the “CREDENTIALS” value as explained below:
Go to your SAP BTP trial account > select your API instance (create a new instance, if not already done)> click on the service keys > copy the entire credentials.
{
“oauth”: {
“clientid”: “xx-xlkjjfd-asd-xxxx-0000-xxxxxx!0000|it!sssss”,
“clientsecret”: “12345–6788–45rt-adcd-asdgthkjfn_xxxxxxxxxxxx”,
“url”: “https://3xxxxxxxx.it-cpitrialxx.cfapps.us10-001.hana.ondemand.com“,
“tokenurl”: “https://3xxxxxxxx.authentication.us10.hana.ondemand.com/oauth/token“
}
}
Replace the “maildemo” with your actual Iflow ID
bin/piper integrationArtifactDeploy –verbose –apiServiceKey $(CREDENTIALS) –integrationFlowId “maildemo”
3. Run the pipeline
Click the commit changes as shown below to run the pipeline.
4. Pipeline successfully triggered:
Once the pipeline is passed successfully you can see the status as shown below.
Once the pipeline is successful it will trigger the respective Cloud integration flow “maildemo”
Driving Innovation with SAP Build: AI-driven Extensions and App Development
Accelerate your digital transformation with the SAP Build AI-driven extension toolkit. As a core component of the SAP Build platform, these features empower developers to bypass traditional backlogs through visual tools and guided workflows. By leveraging SAP embedded AI capabilities, enterprises can rapidly deploy custom solutions while maintaining a clean core on SAP BTP. Choosing an SAP Build AI-driven extension strategy ensures faster time-to-production, allowing the SAP Build platform to bridge the gap between complex business needs and agile SAP Build AI-driven extension delivery.
End-to-End SAP BW to Datasphere Migration: Roadmap, Tools & Partner Strategies
Modern enterprises are evolving past rigid SAP business warehouse setups to embrace cloud agility. While a legacy SAP business warehouse provides structure, the shift from SAP BW to Datasphere is essential for AI readiness and scalability. Incture specializes in SAP BW to Datasphere transitions, offering a proven roadmap for your SAP datasphere implementation. By modernizing your SAP business warehouse, we help you reduce operational costs and build a future-ready Business Data Cloud.












































