Overview

Table of contents

1. Introduction
2. Dataflow
3. Components
4. Next Steps

Introduction

Bridge the gap between distributed DevOps/SRE teams and centralized ServiceNow platform owner teams by automatically generating Change Requests. Utilize data from your existing CI/CD tools against sophisticated change policies to accelerate your pipeline.

Dataflow

1. Create a Work Item in Azure Boards and note the Work Item ID (e.g. AB#14) and assign the item to a developer.
2. Make your code and configuration changes and commit your changes to GitHub.

NOTE: Makes sure to set the commit message to the Work Item ID relating the code change to the Azure Boards work item.

1. Trigger the ADO Pipeline to start the build and deployment of your changes.
2. Service is built and the Docker image is published to Docker Hub ready for final deployment.
3. The ADO Pipeline pauses, and a Change Request is automatically generated in ServiceNow for approval.
4. The Change Request is reviewed in ServiceNow and approved after reviewing all the changes.
5. The ADO Pipline is released and the Docker image is deployed to the Azure Kubernetes environment

Components

Next Steps

• Follow the Guide to implement in your environment.

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