Mike Vizard discusses BMC’s enhancements to its mainframe DevOps analytics tool, including Git data integration and a new generative AI assistant to facilitate workflow optimization.

Overview

BMC has announced significant enhancements to its DevOps analytics offering, BMC AMI zAdviser Enterprise, which is tailored for mainframe environments. The tool can now collect Git usage data, providing deeper visibility into development workflows and making it easier to pinpoint bottlenecks and other issues that can impact team productivity.

Key Updates

  • Git Usage Data Integration: By extending support to collect Git data, BMC AMI zAdviser Enterprise helps IT teams analyze version control interactions and streamline collaboration. This integration aims to surface workflow inefficiencies earlier, enabling quicker remediation and overall better DevOps practices for mainframe systems.

  • BMC AMI Assistant Beta Release: Alongside analytics improvements, BMC introduced a beta for BMC AMI Assistant. This assistant leverages a generative AI trained by BMC, providing IT personnel with a natural language interface. The assistant can answer questions, provide recommendations, and help optimize mainframe operations without navigating complex dashboards or interfaces.

Impact for Mainframe DevOps

These additions reflect BMC’s commitment to modernizing mainframe environments, blending traditional system reliability with contemporary DevOps and AI tools. The integration facilitates a smoother workflow, enhances problem diagnosis through analytics, and empowers teams with intuitive AI-driven support.

Conclusion

By incorporating Git data and AI-powered assistance, BMC aims to help organizations bridge the gap between legacy mainframe infrastructure and modern DevOps methodologies, ultimately making mainframe operations more agile and efficient.

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