Video Interviews
MLOps at Scale: How Community Is Driving AI Into Production
At swampUP 2025, Alan caught up with Demetrios Brinkmann, founder of the MLOps Community, to discuss the growing gap between AI research and real-world production deployments. Brinkmann leads a global network of ...
Securing the Software Supply Chain with Full Visibility and Compliance
At swampUP 2025 in Napa Valley, JFrog’s Yossi Shaul, senior vice president of DevOps, joined Alan to reflect on both his personal journey and JFrog’s evolving role in shaping modern software delivery ...
Empowering Secure, Agentic Software Delivery
At swampUP 2025 in Napa Valley, JFrog co-founder and CTO Yoav Landman joined Alan to reflect on the company’s latest announcements and the broader direction of software delivery in the AI era ...
Building End-to-End Trust in the Software Supply Chain
At swampUP 2025, JFrog’s Guy Levi, head of the architects team, highlights some of the technologies shaping the company’s next chapter. Levi's role centers on exploring advanced technologies “beyond the horizon,” but ...
Sketch Coding and the Rise of MCP in DevOps
At swampUP 2025, JFrog’s Yonatan Arbel reflects on his journey inside the company and how developer DNA continues to shape JFrog’s culture. Arbel, who has spent nearly a decade with JFrog, began ...
Bringing Trust and Governance to AI-Driven DevOps
At swampUP 2025 in Napa Valley, Alan Shimel sat down with three industry leaders whose companies sit at the heart of today’s AI-driven DevOps transformation: Rahul Tripathi, general vice president and GM ...
Bringing Order to Chaotic Software Engineering Workflows
Software development has never been tidy, but the current landscape feels more chaotic than ever. Shannon Mason, chief strategy officer for Tempo, dives into why software engineering workflows remain chaotic and what ...
Why APIs Alone Won’t Cut It in the AI Era
Kumar Chivukula, co-founder and CEO of Codeglide.ai (a subsidiary of Upsera), explains why the rise of the Model Context Protocol (MCP) is reshaping how enterprises connect APIs to large language models. For ...
MCP Emerges as a Catalyst for Modern DevOps Processes
Loreli Cadapan, VP of product at CloudBees, discusses how the Model Context Protocol (MCP) developed by Anthropic will provide the foundation for reinventing DevOps workflows. Cadapan explains that MCP acts as a ...
How AI-Created Code Will Strain DevOps Workflows
Nick Durkin, Field CTO at Harness, explains why as artificial intelligence (AI) tools are relied on more to create code, it's now only a matter of time before bottlenecks in existing DevOps ...
AI-Driven Observability: Fast, Context-Rich MCP Servers
Christine Yen—developer-turned-CEO—explains why Honeycomb built an MCP server and why every observability vendor may follow. MCP, short for Model Context Protocol, acts like a concierge for AI agents: It makes a product’s ...
Context on Tap: How MCP Servers Bridge AI Agents and DevOps Pipelines
Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the ...
