README.md

August 4, 2025 · View on GitHub

Release Manager

Transforming software delivery process with intelligent agent orchestration

🚀 Overview

In modern software development, Release Managers play a pivotal role bridging the gap between development and operations. As the orchestrators of software deployment, they ensure that releases are timely, efficient, and risk-mitigated. However, increasing complexity and fragmentation across systems have made this role more challenging than ever.

The Release Manager Assistant (RMA) is a solution accelerator designed to augment release managers with AI-driven intelligence, multi-system integration, and real-time decision support. It simplifies the release lifecycle from planning to post-deployment analysis, all through a unified and contextual interface.

Watch a quick demo below!

▶️ Demo Video

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🧩 Key Challenges

Fragmented release data across platforms
Lack of real-time release health visibility
High manual effort in compiling readiness reports
Difficulty managing cross-team/service dependencies
Visualizing complex data across multiple systems
Notifying stakeholders on change in the system

✅ What the RMA Solves

🔄 Release Planning & Coordination

Real-time dependency mapping and release health assessment
Visualization of complex data

🕓 Scheduling & Readiness Automation

Smart notifications
Issue and stakeholder updates via integrated channels (emails)

🌐 Cross-System Collaboration

Seamless integration with tools like:
- JIRA
- DevOps (MySQL database and/or API integration)
- Microsoft Graph APIs
Unified, contextual insights from disparate systems

🧠 Solution Architecture

The architecture is built on a modular and secure AI-native design leveraging:

Azure AI Foundry service for agents in cloud and supporting tools (Code Interpreter).
Semantic Kernel for agent orchestration, agent memory and tools integration.
Microsoft Graph API for enterprise identity and email notification integration*.
Azure Key Vault & Azure Storage for secure secret and data management.

For setting up email notifications, additional setup is required. For instructions, please refer to this guide: Microsoft Email Notifications Setup

🎯 Architecture Walkthrough

https://github.com/user-attachments/assets/619f5a11-45ed-4a8b-a2e4-7d3900eee60e

📐 Architecture Diagram

This diagram provides a visual representation of how the JIRA Agent, DevOps Agent, Visualization Agent and Notification Agent collaborate to streamline release planning and execution for a release manager.

RMA Solution Architecture

Diagram above highlights components in the end-to-end system run that run locally (highlighted in green) and components that run in the cloud (highlighted in blue).

🛠️ Getting Started

Note: This solution accelerator is designed to be adaptable. You can customize integrations and workflows based on your internal tooling landscape.

For detailed setup instructions, please follow the guide here: SETUP INSTRUCTIONS

Prerequisites

Azure Subscription
Access to Azure OpenAI and Azure AI Foundry
Local/Cloud instance for JIRA, DevOps (MySQL connection), etc.
python >= 3.12
Docker runtime for running service containers locally (For more information on local execution, refer to this guide: LOCAL EXECUTION IN DOCKER)

🔗 Integrations Supported

Synthetic dataset is included in the solution under /data directory for reference purposes.

📈 Roadmap (subject to change)

✅ Multi-system integration baseline
✅ Natural language release query support
🚧 Azure DevOps integration
🚧 Teams notifications support