As enterprises embrace modern DevOps and AI-driven application modernization with Copilot, integrating IBM Z mainframes with GitHub has become a critical yet complex challenge. Traditional mainframe environments often lack version control, collaboration tools, and seamless data access, creating inefficiencies that slow down innovation. VirtualZ is solving these challenges by enabling real-time mainframe data access and seamless GitHub integration — bridging the gap between legacy systems and modern development workflows.
Explore two key GitHub-driven modernization use cases powered by VirtualZ’s Zaac™, Lozen™, and PropelZ™:
GitHub Integration for Mainframe DevOps
See how Zaac™ enables mainframe developers to work natively with GitHub, supporting version control, CI/CD pipelines, and modern DevOps workflows without disrupting legacy processes.
AI-Driven Application Modernization with GitHub Copilot
GitHub Integration for Mainframe DevOps
Zaac™ transforms how mainframes participate in DevOps by enabling direct integration with GitHub, allowing developers to seamlessly manage source code, versioning, and collaboration.
Key features include:
1. Direct GitHub Integration. Zaac™ allows mainframe applications to:
- Mount GitHub repositories as local file systems, enabling direct access to source code.
- Compile and edit code stored in GitHub using legacy mainframe tools like COBOL and Assembler.
- Automatically synchronize changes to and from GitHub, ensuring version history is maintained without manual intervention.
2. Streamlined Development Workflows. Zaac™ simplifies DevOps for mainframes by:
- Enabling mainframe applications to participate in GitHub-based CI/CD pipelines.
- Supporting existing mainframe build processes without requiring significant changes.
- Providing developers with a unified platform for managing code across mainframes and modern systems.
3. Enhanced Collaboration. Zaac™ breaks down silos between mainframe and modern development teams by:
- Standardizing source control on GitHub, ensuring all teams work within the same environment.
- Allowing mainframe developers to leverage GitHub’s branching, versioning, and collaboration tools.
- Reducing the need for proprietary mainframe-specific versioning tools like Panvalet or Librarian.
AI-Driven Application Modernization with GitHub Copilot
The VirtualZ + GitHub Copilot Use Case
VirtualZ Computing provides real-time, no-code access to mainframe data, empowering AI tools like GitHub Copilot to drive application modernization with accurate, up-to-date insights.
Here’s How:
- Real-Time Data Access: VirtualZ eliminates the need for ETL and CDC, providing AI tools like GitHub Copilot with real-time access to mainframe data.
- Enhanced AI Capabilities: Enable GitHub Copilot to analyze live mainframe datasets for AI-driven refactoring, migration, and modernization.
- Seamless Cloud Integration: Integrate mainframe data directly into cloud-based AI models, enabling accurate, real-time decision-making.
Benefits:
- Accelerated Modernization: Leverage AI-powered insights to modernize applications faster and more efficiently.
- Reduced Costs: Eliminate data replication and transformation, lowering operational expenses.
- Improved Accuracy: Ensure AI tools have access to live data for precise decision-making.