Helping Government Software Teams Move Faster | Carnegie Mellon's Robin Yeman

Both the aerospace and defense sectors are renowned for long project timelines rife with silos and hurdles that get in the way of productivity. With over 20 years of experience at Lockheed Martin and elsewhere, Robin Yeman literally wrote the book Industrial DevOps on how to implement DevOps principles at traditional behemoths to build faster, safer systems.As Space Domain Lead at Carnegie Mellon's Software Engineering Institute, Robin’s pioneering work reveals how applying DevOps principles can significantly improve speed, quality, and collaboration at traditional enterprises. She emphasizes the importance of cross-functional teams, modular architectures, and a growth mindset in driving innovation and overcoming the challenges of digital transformation within the aerospace and defense sectors.Tune in to gain practical insights about the application of DevOps in large-scale systems, the role of organizational design in fostering communication, and how these principles have helped government software teams.Episode Highlights: - 01:12 Robin’s book Industrial DevOps- 04:00 How did Robin’s work at Lockheed Martin lead to Carnegie Mellon?- 05:46 How should you get started thinking about industrial DevOps?- 08:01 How Robin’s research came together across varied experiences- 10:25 What patterns can you adapt to be more successful?- 16:54 Quantitative vs. qualitative data when making long term plans- 20:27 Shifting left in Industrial DevOpsShow Notes: Robin YemanIndustrial DevOpsWiring the Winning Organization - IT RevolutionDownload your copy of the Gen AI Impact Report todayOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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