Third-party cyber evaluations involving OpenAI models
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Cloud & Infrastructure
Google Cloud Blog·1d ago·5 min read
Real-world mainframe modernization with AI: A safe, scalable path from mainframe to cloud
TL;DR
Google Cloud introduces an AI-driven modernization strategy for legacy mainframe systems, enabling enterprises to transition to the cloud safely and iteratively. This approach mitigates risks associated with traditional big bang migrations.
✦ Why It Matters
Consider adopting an AI-driven approach to modernize your legacy systems incrementally and reduce migration risks.
Key Takeaways
- Utilize the Mainframe Assessment Tool for dependency mapping.
- Choose between rewriting or deterministic modernization strategies.
- Implement Dual Run to validate new applications against legacy systems.
- Engage with Google Cloud experts for hands-on modernization workshops.
How It Works
The Mainframe Assessment Tool (MAT) reverse-engineers legacy code to visualize dependencies and extract business rules, providing a foundation for modernization. This tool integrates with AI agents to facilitate code transformation, ensuring high accuracy and scalability in the modernization process.