Mike Vizard explores BMC’s latest advancements in DevOps analytics for mainframe environments, highlighting new AI capabilities, improved security, and enhanced cloud data management.

BMC Extends Scope and Reach of DevOps Mainframe Workflows

By Mike Vizard

BMC, mainframe

BMC has announced enhancements to its DevOps analytics solutions for mainframe environments, with several new capabilities designed to streamline development workflows, enhance security, and support hybrid infrastructure operations.

Key Updates

Enhanced DevOps Analytics with Git Integration

BMC AMI zAdviser Enterprise, the company’s analytics platform tailored for mainframe environments, can now collect and analyze Git usage data.
This integration aims to simplify the identification of workflow bottlenecks and other inefficiencies in the development pipeline, supporting improved collaboration between teams managing distributed and mainframe systems.

AI-Powered Operations Support

BMC has introduced, in beta, the BMC AMI Assistant tool.
This solution provides IT teams with a natural language chat interface, leveraging a generative artificial intelligence (AI) model trained by BMC.
The assistant is designed to help optimize operations by providing actionable insights, recommendations, and task automation opportunities.

Improved Security with Okta Integration

New connectors for Okta’s identity management platform are now available, enabling tighter security controls and enhanced protection for software supply chains within mainframe DevOps workflows.

Cloud Data Management and Advanced Protections

BMC AMI Cloud, the data management platform, now supports:
- Enforced password and IBM zMFA token entry for enhanced access control.
- Advanced support for protecting both on-premises and public cloud object storage data.
- Multi-volume capabilities, allowing for storage of up to 255TB in data sets within cloud object storage services.

Strategic Impact and Market Context

John McKenny, Executive Vice President and General Manager of BMC’s mainframe business unit, highlighted:

The importance of extending DevOps workflows to mainframe systems, which still run many mission-critical applications.
The pressure to modernize these environments due to the demand for rapid application updates, as seen in distributed computing.
The emergence of Java and Linux on mainframes, bridging traditional and modern application ecosystems.

The Role of Artificial Intelligence

The article notes:

The blending of distributed and mainframe environments is further catalyzed by the adoption of AI technologies.
AI-powered agents can offload manual and tedious IT operations tasks, addressing talent shortages and reducing burnout as experienced mainframe professionals retire.
Teams are encouraged to inventory and automate repetitive tasks, focusing human expertise on value-added activities and oversight.

Takeaway

BMC’s new capabilities target organizations seeking a unified approach to DevOps across hybrid infrastructure, integrating modern workflows, security, and AI-driven automation for resilient and efficient operations.

This post appeared first on “DevOps Blog”. Read the entire article here