Cloud work after the hype wears off.
Day Two DevOps treats infrastructure and software delivery as work done after the hype settles. Conversations move from multi-cloud migrations and VMware exits to AI in production, vulnerability research, Haskell, observability, and the habits engineers need when platforms keep changing.
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Day Two DevOps is a grounded technology show about running, securing, observing, and evolving modern systems. Its conversations start where implementation gets difficult. A cloud migration is not just a diagram. It can mean months of account moves, IAM pain, Terraform mapping, landing zones, and hard choices about AWS, Azure, GCP, OCI, OpenShift, Nutanix, VMware, and on-prem infrastructure. AI gets the same treatment. The show asks what happens when models write code, assist vulnerability research, support production security work, or make engineers faster while also changing what engineers practice. That tension gives the show much of its shape. It is curious about new tools, but not easily dazzled by them. Recent episodes move from Fluid Cloud’s portability pitch to Rich Mogul on AI and security, Kat Traxler on AI-assisted vulnerability research, Tikan Jelvis on why Haskell still exists, John Collins on architecture during another wave of change, Marina Wyss on AI engineering pipelines, Rachel Stevens on developer productivity, and IBM Instana Observability on real-time mapping and explainable AI assistance. The hosts keep the pace conversational, with light wordplay, nerdy asides, and quick pivots back to the work. The best moments come when someone names the hidden cost: code still has to be read, detections still have to be trusted, automation still needs boundaries, and production systems still punish vague thinking. Day Two DevOps suits engineers who like practical depth more than launch-day excitement. It is for people comparing tools, building pipelines, managing cloud estates, watching AI enter their workflow, or trying to keep their technical judgment sharp while the industry keeps renaming its problems.
Made for: For DevOps engineers, cloud operators, security practitioners, platform teams, software architects, and technical managers who want practical conversations about production systems. It especially suits listeners tracking AI’s impact on engineering work without treating it as either miracle or doom.
What sets it apart: The show pairs approachable host banter with unusually concrete operational detail: Terraform, cloud accounts, observability agents, batch pipelines, security workflows, and migration constraints all stay in view. It is less about announcing trends than testing how those trends behave inside real engineering teams.
Join hosts Ned Bellavance and Ethan Banks as they dive deep into the challenges of cloud operations from the perspective of seasoned practitioners. You'll hear from expert guests—technical leaders, trainers, and consultants with years of hands-on experience—discussing the nuances of modern cloud environments. From AWS to Azure, networking to security, automation to DevOps, each weekly episode equips you with the insights to confidently address tech and business challenges such as resilience, cost management, and performance. Whether you want to hone your skills today or prepare for what’s coming next, Day Two Cloud cuts through the vendor fog to guide you through a shifting IT landscape.
Based on 6 episodes we listened to · September 2026
Day Two DevOps turns AI and cloud promises into concrete questions about production systems, engineering judgment, and operational risk.
Day Two DevOps follows technology from confident proposal to awkward production reality. Kyler Middleton and Ned Belovance ask guests to explain what changes when AI-generated code, model pipelines, observability systems, and cloud migrations become operational concerns.
AI writes the code; congratulations, you've been promoted to reading it.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A sponsored but practical look at cloud portability, centered on the hard migration details.
Day Two DevOps frames a sponsored discussion around cloud portability with a sharp migration pain point at its center: moving from one AWS account to another after an acquisition took almost nine months, and IAM policies come across as especially difficult.
A sharp, candid look at AI speed, human direction, and the risk when agreement takes the place of scrutiny.
Day 2 DevOps frames AI in production as less a tooling story than an alignment problem with real operational stakes. The conversation opens with reports of an AI-powered IDE potentially contributing to a major-service outage, then settles into the more useful question: when a…
A practical look at AI engineering, where shipping work matters more than polished credentials.
The episode connects AI engineering to an unusual career path, pairing the question of how a politics background can help with engineering work with Marina Wyss of Twitch on what counts as solid proof in hiring.
A practical DevOps discussion of AI, code reading, and the skill tradeoffs that follow.
Day Two DevOps keeps its attention on a practical question: whether AI is changing the job from writing code to reading it. With Rachel Stevens, an industry analyst focused on the future of AI, the discussion stays grounded in conference season, the way AI tools are reshaping…
A sponsor-backed observability conversation that gets concrete about AI, mapping, and regulated environments.
Day 2 DevOps uses this sponsored stop at KubeCon in Atlanta to frame observability through an AI lens. Ned Bellavance talks with Drew Flowers and Jacob Yukenovich of IBM Instana Observability about application performance monitoring, agentic systems that explain how they reached…
Dina Solis links AI anxiety, career change, and the value of lived context in a relaxed technology conversation.
AI's pressure on entry-level work becomes a wider conversation about careers with Dina Solis, a freelance FinOps engineer and mentor who has thought carefully about changing direction.
A clear look at AI infrastructure, with routing, storage, repatriation, and the cost-latency-regulation tradeoffs.
F5 and Men.io treat AI infrastructure as a question of where data lives, how it moves, and who keeps control. The conversation stays close to the mechanics: loosely coupled systems, storage that can shift between cloud and on-premises, and an application layer that does not need…
Linux talk with hands-on scars.
Kubernetes changes, explained by the people who made them.
Ruby talk with the edges left on.
Sponsored episode discussing how FluidCloud enables multi-cloud and hybrid cloud portability, featuring co-founders Sharad Kumar and Harshid Omar.
A Day Two DevOps sponsored episode centers on Fluid Cloud after Sharad Kumar says Acurex’s 2021 acquisition led to an almost nine-month move from one AWS account to another.
Day 2 DevOps hosts Kyler Middleton and Ned Belovance talk with Cloud Security Alliance chief analyst Rich Mogul about the Kiro IDE incident that reportedly caused an AWS outage, and what putting AI coding agents into production means for security.
Kat Traxler describes using Claude and Gemini to sift 20 cloud-focused codebases for unauthenticated remote code execution.
An interview with Tikan Jelvis about the modern use and evolution of Haskell and other niche programming languages.
Marina Wyss, a senior applied scientist at Twitch, defines AI engineering as building products on pre-trained models rather than training everything from scratch.
Rachel Stevens says AI helps write code, but not the rest of the delivery pipeline.
Ned Bellavance records this sponsored Day 2 DevOps episode from KubeCon Atlanta with Drew Flowers and Jacob Yukenovich from IBM Instana Observability.
Dina Solis says AI cannot disrupt a career path that was never certain in the first place.
Day 2 DevOps hosts Ned Belovance and Kyler Middleton talk with F5’s Mark Menger and MinIO’s Keith Pijanowski about AI infrastructure for storage, routing, and governance.
Kyler Middleton and Ned Belovance interview threat detection engineer Lydia Grassley about cloud security, humor, and the value of helpdesk experience.
Sponsored episode exploring Cisco ThousandEyes' Cloud Insights product for deep visibility and troubleshooting in public cloud networks.