PODCAST · technology
The New Stack Podcast
by The New Stack
The New Stack Podcast is all about the developers, software engineers and operations people who build at-scale architectures that change the way we develop and deploy software.For more content from The New Stack, subscribe on YouTube at: https://www.youtube.com/c/TheNewStack
Episodes
-
Kubernetes won the orchestration wars. Its teams are still fighting.
Kubernetes has become the dominant container orchestration platform, used by more than 80% of container users, but widespread adoption hasn’t eliminated tensions between developers and operations teams. Developers value Kubernetes for its self-service capabilities and ability to move quickly…
more -
The CNCF is graduating projects faster than ever. AI agents are helping with the due diligence.
Open-source technology has played a foundational role in the AI boom, giving companies the flexibility to scale unprecedented computing workloads across providers and hardware. OpenAI, for example, used Kubernetes as early as 2018 to balance compute across its own data centers, AWS and Azure —...
-
Dynatrace wants its AI agents to fix problems instead of adding alerts
Dynatrace's view is that AI apps should be monitored like any other app. They still run alongside older systems, including mainframes, and when something breaks, teams need to know what it cost and why it happened. Their Bluebox agent, introduced in July, compares a team’s code with production…
more -
Bit Cloud’s next chapter starts after the AI builds your app
For many developers, turning an AI-generated prototype into maintainable software requires more than generating code—it requires infrastructure, collaboration, testing and review. In this episode of The New Stack podcast, Bit Cloud founder and CEO Ran Mizrahi discusses Bit Cloud 2.0 and Hope, the...
-
CloudBees just committed to an AI-first pivot. Here's why it matters for enterprise DevOps teams
CloudBees CEO Mo Plassnig is leading the CI/CD company through a major transformation as generative AI reshapes software development. Returning to CloudBees eight years after joining through its acquisition of CodeShip, which he co-founded, Plassnig says the emergence of generative AI renewed his...
-
A third option is emerging in the fight over AI and your data
The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect their model weights from being exposed to customers. Traditionally, businesses had to choose…
more -
Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents
Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bottleneck during early GitHub Copilot trials, the three ways enterprises are coping with the…
more -
How to find failures without drowning in tracing data
Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce downtime and developer burnout, collecting every trace creates its own problems. Storing massive...
-
Why CPUs still matter in the age of AI agents
As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Patel of Arm and Mo Farhat of Google about how CPUs act as an “air traffic controller” for agentic...
-
Why Doist Says Less AI Can Deliver More
Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subtraction over addition,” removing features that fail to deliver lasting value despite development...
-
Why your company should (try to) build its own AI SRE
As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human fully understands. In this episode ofThe New Stackpodcast, Sam Farid and Nate Heinrich of...
-
Nvidia
In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them practical for enterprise and personal use alongside frontier cloud models. Rather than replacing…
more -
Meet Brain, the AI that decides when Azure is officially down
In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasingly automates responses such as pausing problematic deployments and notifying affected…
more -
What comes after attention? This startup says it already knows.
Subquadratic is beginning to back up its ambitious claims with benchmarks and third-party validation for its SubQ 1.1 Small model, which uses its proprietary Sparse Attention (SSA) architecture to dramatically improve long-context performance. Rather than comparing every token to every other…
more -
“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production
Harness has introduced Autonomous Worker Agents, a new capability that allows enterprises to replace rigid CI/CD pipeline scripts with AI agents that can deploy applications, run tests, and perform security scans while operating under existing governance, security, and audit controls. Unlike...
-
Public cloud vs. on-prem: Summit on where each workload belongs
More than two decades after AWS helped usher in the public cloud era, many organizations are reassessing whether a cloud-first strategy still delivers the cost and operational benefits it once promised. While hyperscalers such as AWS, Azure and Google Cloud have built enormously successful...
-
Gusto Cofounder: An AI agent that runs payroll, HR, and benefits without waiting to be asked
Gusto is betting that small businesses need more than another AI assistant. The company’s new product, Gusto Cofounder, is designed to act as a proactive business partner that helps owners manage and grow their companies, drawing inspiration from the traditional mom-and-pop partnership that...
-
WeAreDevelopers is coming to the US to give unsung developers a bigger voice
WeAreDevelopers, the Berlin-based developer conference founded in 2015, has grown into a major global event, attracting 15,000 developers from over 70 countries each year. In 2026, it expands beyond Europe with new editions in San Jose, California, and Bengaluru, India. Co-founder and CEO Sead...
-
Why MotherDuck refuses to fork DuckDB
At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead atMotherDuck, about the company’s growing role in the evolving DuckDB ecosystem. Backed by investors includingTomasz Tunguz, MotherDuck is commercializing the open-source analytical databaseDuckDBwhile also expanding...
-
JetBrains is selling independence as the rest of AI coding picks sides
JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere...
-
Why Block handed Goose to the Linux Foundation
What began as an internal developer tool atBlockhas evolved into a broader open-source initiative with industry backing. Goose, Block’s AI coding agent, followed a path similar to Amazon’s transformation of internal infrastructure intoAmazon Web Services. After deploying Goose companywide, Block...
-
Fivetran's CPO: closed data stacks won't survive the agent era
At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generate exponentially more queries, often routing them through the same expensive compute…
more -
The new FinOps problem isn't cloud bills
At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOps had a decade to mature, AI economics are forcing the industry to adapt within a year. Unlike...
-
How Microsoft is governing thousands of Kubernetes clusters without manual intervention
Managing Kubernetes at fleet scale introduces significant complexity, especially as organizations expand from a few clusters to hundreds or thousands across cloud, on-premises, and edge environments. While GitOps remains the dominant model for declarative management, its traditional one-to-one...
-
Why long-running AI agents break on HTTP and how Ably is fixing it
In this episode ofThe New Stack Makers, Matthew O’Riordan, CEO of Ably, explains how infrastructure originally built for human collaboration is now well-suited for long-running AI agents. While Ably initially resisted positioning itself as an AI company, the rise of agents that reason, call…
more -
Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert
Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Protocol (MCP), Goose, and AGENTS.md—under the newly formed Agentic AI Foundation (AAIF) in late…
more -
Fresh data has us asking, does AI demand Kubernetes?
Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems...
-
How SUSE positions itself as the infrastructure layer for the AI era
In this episode ofThe New Stack Makers,Pete Smailsoutlines howSUSEis evolving from its Linux roots into an AI-native infrastructure platform. Speaking atKubeCon + CloudNativeCon Europe 2026, Smails explains the company’s strategy to unify AI, containers and virtual machines on a single open,...
-
Cut AI token usage by 96%? Here’s how AWS Strands Agents does it.
In this episode of The New Stack Makers, AWS developer advocate Morgan Willis demonstrates Strands Agents, an open source agentic framework with rapid adoption since its launch. Using a simple accounting API, she walks through three approaches to retrieving a customer’s latest invoice…
more -
Why Broadcom is betting on a private cloud comeback
Broadcom’s VMware Cloud Foundation (VCF) is evolving from a turnkey infrastructure stack into a modern application platform, balancing simplicity with the flexibility demanded by Kubernetes-driven environments. AtKubeCon + CloudNativeCon Europe 2026, Broadcom leaders highlighted how VCF is…
more -
Why Broadcom gave Velero to the CNCF Sandbox — and what it means for Kubernetes data protection
Broadcom continues to expand its role as a major contributor to cloud-native open source, particularly within the Cloud Native Computing Foundation (CNCF) ecosystem. Its recent donation of Velero—originally developed by VMware—to the CNCF Sandbox reflects a strategic move to foster broader...
-
Why AI engineering needs old-school discipline
In this episode of The New Stack Makers, Nimisha Asthagiri of Thoughtworks explores why many AI initiatives stall between proof of concept and production. A key issue is that organizations focus on speed—asking how to move faster—rather than rethinking what new capabilities AI actually enables....
-
Jim Bugwadia on why finding a Kubernetes problem is only half the battle for Kyverno users
Graduating within the CNCF marks a major milestone for an open source project, signaling not just technical maturity but strong governance, security practices, and widespread adoption. Kyverno, a Kubernetes policy engine, reached this stage after five years — becoming only the 35th project to...
-
How AWS Bedrock is shaping Model Context Protocol
At the MCP Summit in New York City, AWS’s Luca Chang, a Bedrock team member and MCP specification maintainer, discussed the rapid rise of the Model Context Protocol (MCP) as a standard for connecting AI models and agents to tools and data. He explained that MCP’s development is shaped by a…
more -
Why Microsoft is betting on temporary identities to stop autonomous agents from going rogue
AtKubeCon Europe 2026,Jorge Palmaoutlined how Microsoft is advancing AI operations across cloud and edge environments. He demonstrated an agent capable of diagnosing, mitigating, and explaining application issues in minutes, highlighting the growing role of agentic operations in Kubernetes. Palma...
-
As agentic AI explodes, Amazon doubles down on MCP
At the MCP Summit inNew York City,Clare LiguoriofAmazon Web Servicesdiscussed the rapid rise of theModel Context Protocol(MCP), now a leading way to connect AI agents with tools and data. Originally developed byAnthropicand later transferred to theLinux Foundation, MCP has seen surging enterprise...
-
A year in, Google wants its Axion processors to feel like a scheduling decision
At KubeCon Europe, Google Cloud’s Jago Macleod and Abdel Sghiouar argued that adopting Arm for Kubernetes workloads has shifted from a complex migration to a practical, low-friction choice. After a year of production use, Google’s custom Arm-based Axion processors—powering C4A and N4A…
more -
Can you make Kubernetes invisible? Here's why AWS is on a mission to do it.
In this episode ofThe New Stack Makers, Jesse Butler, principal product manager for AWS Elastic Kubernetes Service, shares his vision for simplifying cloud-native computing. Since joining AWS in 2020, Butler has focused on making Kubernetes easier to use, emphasizing open-source as a…
more -
The next stages of AI conformance in the cloud-native, open-source world
Running AI models on Kubernetes has historically been inconsistent, with workloads behaving differently across cloud providers due to variations in GPUs, networking, and autoscaling. As organizations move AI from experimentation to production, standardization has become critical. In this episode…
more -
Microsoft wants to make service mesh invisible
At KubeCon EU 2026, Mitch Connors of Microsoft outlined a vision to make service meshes effectively invisible to users. Now working on Azure Kubernetes Application Network, a fully managed service built on Istio’s ambient mode, Connors aims to deliver core capabilities like mTLS without requiring...
-
Amazon EKS Auto Mode wants to end Kubernetes toil — one node at a time
At KubeCon + CloudNativeCon Europe 2026 in Amsterdam, Alex Kestner, principal product manager for Amazon Elastic Kubernetes Service (EKS), discussed how Amazon EKS Auto Mode aims to reduce the operational burden of running Kubernetes at scale. While Kubernetes delivers significant power, it also...
-
Edge-forward: Akamai eyes sweet spot between centralized & decentralized AI inference
At KubeCon + CloudNativeCon Europe 2026, Lena Hall and Thorsten Hans of Akamai outlined how the company is evolving from a CDN provider into a developer-focused cloud platform for AI. Akamai’s strategy centers on low-latency, distributed computing, combining managed Kubernetes, serverless...
-
Kubernetes co-founder Brendan Burns: AI-generated code will become as invisible as assembly
In this episode of The New Stack Makers, Microsoft Corporate Vice President and Technical Fellow, Brendan Burns discusses how AI is reshaping Kubernetes and modern infrastructure. Originally designed for stateless applications, Kubernetes is evolving to support AI workloads that require complex…
more -
AI can write your infrastructure code. There's a reason most teams won't let it.
In this episode ofThe New Stack Agents, Marcin Wyszynski, co-founder of Spacelift and OpenTofu, explains how AI is transforming infrastructure as code (IaC). Originally built for individual operators, tools like Terraform struggled to scale across teams, prompting Wyszynski to help launch…
more -
OutSystems CEO on how enterprises can successfully adopt vibe coding
Woodson Martin, CEO ofOutSystems, argues that successful enterprise AI deployments rarely rely on standalone agents. Instead, production systems combine AI agents with data, workflows, APIs, applications, and human oversight. While claims that “95% of agent pilots fail” are common, Martin…
more -
Inception Labs says its diffusion LLM is 10x faster than Claude, ChatGPT, Gemini
On a recent episode of the The New Stack Agents, Inception Labs CEO Stefano Ermon introduced Mercury 2, a large language model built on diffusion rather than the standard autoregressive approach. Traditional LLMs generate text token by token from left to right, which Ermon describes as “fancy...
-
NanoClaw's answer to OpenClaw is minimal code, maximum isolation
OnThe New Stack Agents, Gavriel Cohen discusses why he built NanoClaw, a minimalist alternative to OpenClaw, after discovering security and architectural flaws in the rapidly growing agentic framework. Cohen, co-founder of AI marketing agencyQwibit, had been running agents across operations…
more -
The developer as conductor: Leading an orchestra of AI agents with the feature flag baton
A few weeks after Dynatrace acquired DevCycle, Michael Beemer and Andrew Norris discussed on The New Stack Makers podcast how feature flagging is becoming a critical safeguard in the AI era. By integrating DevCycle’s feature flagging into the Dynatrace observability platform, the combined…
more -
The reason AI agents shouldn’t touch your source code — and what they should do instead
Dynatrace is at a pivotal point, expanding beyond traditional observability into a platform designed for autonomous operations and security powered by agentic AI. In an interview on *The New Stack Makers*, recorded at the Dynatrace Perform conference, Chief Technology Strategist Alois Reitbauer...
-
You can’t fire a bot: The blunt truth about AI slop and your job
Matan-Paul Shetrit, Director of Product Management at Writer, argues that people must take responsibility for how they use AI. If someone produces poor-quality output, he says, the blame lies with the user—not the tool. He believes many misunderstand AI’s role, confusing its ability to accelerate...
We're indexing this podcast's transcripts for the first time — this can take a minute or two. We'll show results as soon as they're ready.
No matches for "" in this podcast's transcripts.
No topics indexed yet for this podcast.
Loading reviews...
ABOUT THIS SHOW
The New Stack Podcast is all about the developers, software engineers and operations people who build at-scale architectures that change the way we develop and deploy software.For more content from The New Stack, subscribe on YouTube at: https://www.youtube.com/c/TheNewStack
HOSTED BY
The New Stack
CATEGORIES
Loading similar podcasts...
Frequently Asked Questions
How many episodes does The New Stack Podcast have?
The New Stack Podcast currently has 300 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is The New Stack Podcast about?
The New Stack Podcast is all about the developers, software engineers and operations people who build at-scale architectures that change the way we develop and deploy software.For more content from The New Stack, subscribe on YouTube at: https://www.youtube.com/c/TheNewStack
How often does The New Stack Podcast release new episodes?
The New Stack Podcast publishes regularly with 300 episodes available. Check the episode list for the typical release schedule.
Where can I listen to The New Stack Podcast?
You can listen to The New Stack Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts The New Stack Podcast?
The New Stack Podcast is created and hosted by The New Stack.
URL copied to clipboard!