Day Two DevOps

Packet Pushers
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Mar 25, 2026 • 44min

D2DO298: Spacelift Intelligence: Infrastructure Keeping Pace with AI-Enhanced Development (Sponsored)

On today’s sponsored episode, Ned Bellavance and Kyler Middleton welcome guest Marcin Wyszynski, Head of R&D at Spacelift to guide them through the potential future of IaC and how AI is changing the landscape of developer productivity, especially around infrastructure. They discuss two of Spacelift’s products, Spacelift Intent and Spacelift Intelligence. Spacelift Intent is an... Read more »
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Mar 18, 2026 • 45min

D2DO297: The Future of Open-Source Contributions in the AI Age

Kyler and Ned sit down with Liz Fong-Jones, Technical Fellow at Honeycomb, to discuss the impact of AI on open-source contributions. Liz proposes shifting the script from code patch contributions to detailed bug reports. They also break down the distinction between programming and software engineering, and the critical role of OpenTelemetry in ensuring the observability... Read more »
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Mar 11, 2026 • 44min

D2DO296: Make Multi-Cloud and Hybrid Cloud Portability a Reality With FluidCloud (Sponsored)

FluidCloud calls itself a cloud-cloning platform. In other words, the company can map and copy all the cloud infrastructure settings from one public cloud—including compute, storage, networking, and identity—and port those settings to a different public cloud. On today’s sponsored Day Two DevOps, Ned and Kyler talk with FluidCloud’s co-founders to understand how the platform... Read more »
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Mar 4, 2026 • 46min

D2DO295: Risks and Benefits of Putting AI in Production

Rich Mogull, Chief Analyst at the Cloud Security Alliance and cloud security expert, walks through putting AI into production and its operational and risk trade-offs. He covers AI-caused outages, how coding agents shift developer responsibility, non-determinism and prompt risks, using AppSec pipelines to catch AI regressions, and defense strategies like isolation, segmentation, and zero trust.
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Feb 18, 2026 • 34min

D2DO294: AI in My Vuln Research Workflow

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »
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Feb 4, 2026 • 43min

D2DO293: Haskell in the Modern Day

Ned and Kyler sit down with Tikhon Jelvis to discuss Haskell and other niche programming languages. They explore how this decades-old language isn’t just surviving, but thriving. They also break down how Haskell can provide distinct advantages over traditional programming, especially for complex domain modeling and concurrent applications. Episode Links: Copilot Language Haskell Project Haskell... Read more »
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Jan 21, 2026 • 47min

D2DO292: AI, Augmented Engineers, and the Timeless Principles of Software Architecture

Ned and Kyler sit down with industry analyst Jon Collins for a fun and free-ranging discussion that covers everything from the changing landscape of software engineering to the importance of good architecture (physical and digital). They tackle the pros and cons of “Vibe Coding” as well as the “Augmentation Gap”, the idea that AI tools... Read more »
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Jan 7, 2026 • 42min

D2DO291: From Politics to Machine Learning and AI Engineering

Marina Wyss, Senior Applied Scientist at Twitch, joins Kyler and Ned to discuss her unique path from political science to AI Engineering. Wyss clarifies the difference between AI Engineering and Machine Learning Engineering and offers practical advice for aspiring engineers who want to incorporate data science, AI, and machine learning into their work. She digs... Read more »
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Dec 17, 2025 • 46min

D2DO290: AI’s Impact on Developer Productivity Vs. Development Productivity

Rachel Stephens, Research Director at RedMonk who studies developer-led tech trends, joins to dissect AI’s real effects. She contrasts individual developer productivity with overall development throughput. Conversations cover where AI speeds create bottlenecks, risks of long-running agents, shifts in education and verification, and how to adapt processes to keep humans central.
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4 snips
Dec 10, 2025 • 37min

D2DO289: Instana: Leading the Future of Observability (Sponsored)

As AI tools and agentic AI become part of how applications are developed, delivered, and managed, application performance monitoring and observability have to adapt. Ned Bellavance sits down with Drew Flowers and Jacob Yackenovich from IBM Instana about where these fields sit today, and the potential impacts of AI. They detail the challenges of application... Read more »

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