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Cherrywork Digital Applications

Pre-packaged, ready to deploy applications

Overview

Intelligent Task Management
Deliver Intelligent Notifications, Tasks and Process
Insights in Real-time

In-Store Perishables Management
Enable grocery retailers to prepare for
peak hour sales

Accounts Payable Automation
Automate Tasks for Better Visibility and Control
over Financial Data

Proof of Delivery
Organize, Manage and Track Shipment Detail
in Real-time

Supplier Collaboration Portal
Gain Control over Supplier Data and
Collaboration across the Processes

Mobility for Warehouse
Ensuring data accuracy for inventory and
boost warehouse operation efficiency.

Collaborative Order Management
Simplify, Streamline and Integrate Orders to
Grow Revenues

Intelligent Price Management
Manage Pricing and Respond to Marketplace
Changes Quickly

HXM Modernization Suite
Deliver More Intuitive, Engaging Experiences that
Boost Productivity

Permit to Work
Automate work permit approval processes
and ensures safe operation.

Resource Management
Plan your Resources and Project Schedule
Effectively

Advanced Metering Analytics
Transform SMART Meter Data into Actionable
Intelligence

Predictive Asset Maintenance
Balance Risk and Maximize Value Across the
Asset Lifecycle

Pipeline Corrosion and Leak Detection
Identify pipelines susceptible to leaks & corrosion
and manage the complete pipeline lifecycle.

Digital Solutions

Overview

Robotic Process Automation

SAP BTP Starter Pack
Enable Digital Transformation to Strengthen Operations with SAP BTP Services

Robotic Process Automation

Application & Process Integration
Connect People, Processes, and Applications to
Build an Intelligent Enterprise

Robotic Process Automation

Mobility
Leverage Enterprise Mobile Applications for
Agility, Scalability, and Availability

User Experience
Visualize Business Operations with
User-Friendly and Intuitive Designs

Data Management and Analytics
Utilize Actionable Insights with Advanced Data Analytics

Robotic Process Automation
Digitize Time-consuming Tasks and Processes
with Intelligent Automation

Robotic Process Automation

Hyperautomation
Discover Next-level Business Automation with
Our Hyperautomation Solutions

Robotic Process Automation

Design Mantrai
Transform Your Organization with Design-led
Innovation and Technology

Robotic Process Automation

Cloud Migration
Enhance Your Business Capabilities with
Cloud Migration Services

Industries

Consumer Products & Retail
Drive Intelligent Value with Digital

Manufacturing
Digitize E2E Value Chain

Oil and Gas
Extend Beyond the Barrel with Digital

Life Sciences
Improve Patient Outcomes and Safety

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Press Room
SAP Innovation Pitch Decks

Cherrywork.com

SAP CLOUD INTEGRATION CI/CD USING GITLAB

WRITTEN BY

Anitha K
PUBLISHED​
1st June 2022

INTEGRATION

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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:

Menu

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.

view merged YAML

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”

deployment status

3. Run the pipeline
Click the commit changes as shown below to run the pipeline.

project information

4. Pipeline successfully triggered:
Once the pipeline is passed successfully you can see the status as shown below.

Update gitlab ci.yml file
5. Validate flow deployment Once the pipeline is successful it will trigger the respective Cloud integration flow “maildemo”
maildemo
From the above snapshot we could conclude that whenever the pipeline runs successfully in the GitLab, it will automatically trigger the respective cloud integration flow.
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