The New Stack Podcast

The New Stack

312 episodes listed below

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Cloud-native infrastructure, questioned in practical detail.

The gist

The New Stack Podcast is a technical interview show about the platforms behind modern software delivery. Recent conversations stay close to Kubernetes, service mesh, infrastructure as code, AI conformance, edge inference, and the operational cost of making powerful systems usable.

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About The New Stack Podcast

The New Stack Podcast covers software infrastructure from close range. It is especially strong on the messy middle between platform vision and production reality. Recent episodes circle Kubernetes, AI infrastructure, service mesh, infrastructure as code, conformance programs, edge inference, and enterprise adoption. The format is interview-driven, usually with guests who are directly involved in the systems being discussed. That gives the show access to useful detail. It also means the best moments arrive when a broad claim gets turned into a practical question. Can Kubernetes become invisible? Where does automation remove toil, and where does it just move complexity somewhere else? What does a standard API make possible for cloud providers, application vendors, observability tools, and security systems? Those are the kinds of questions the show keeps returning to. AWS EKS conversations focus on Auto Mode, node lifecycle management, dynamic resource allocation, gateway APIs, and the goal of taking on undifferentiated infrastructure work. CNCF discussions look at AI conformance as a way to create a shared center of gravity without making standards so heavy that only the largest companies can pass. Microsoft Azure episodes bring Istio, service mesh, mTLS, LLM routing, and day-two operations into the same frame. Akamai conversations connect distributed cloud and edge computing to low-latency AI workloads. Spacelift and OpenTofu bring infrastructure as code back to team workflows, where solo tools become harder in multiplayer environments. OutSystems adds the enterprise angle on AI-assisted application development and what adoption looks like inside large organizations. The show is casual, but the vocabulary is technical. It assumes listeners can follow terms like GPU, FPGA, API, CDN, mTLS, and observability without a long warm-up. The result is not a beginner explainer. It is a field report for people who need to understand where cloud-native platforms are heading, which abstractions are becoming normal, and which problems still resist simplification.

Made for: Built for software engineers, operations people, platform teams, DevOps leaders, and technical decision-makers who already know the vocabulary of cloud-native systems. It suits listeners who want implementation context more than trend summaries.

What sets it apart: The show pairs access to infrastructure insiders with a habit of pressing past platform claims into operations, standards, APIs, and adoption tradeoffs. It treats abstraction as useful, but never automatic.

In their own words

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

As heard by us

Based on 5 episodes we listened to · September 2026

Technical interviews connect AI and cloud-native ambitions to the operational tradeoffs, standards and infrastructure beneath them.

The New Stack Podcast follows technical complexity to the point where someone has to operate it. Its interviewers begin with a guest's role, then press into the machinery: AI-assisted command lines, enterprise decision systems, Kubernetes infrastructure, service meshes and…

Read our full review in PlayNext →

Why you'd press play

Kubernetes keeps trying to disappear, and this is where you hear the people hiding it explain themselves.

Press play if you want

the people shaping EKS, Istio, and cloud standards to explain what their abstractions are actually buying you
AI coding talk that moves past demos into terminals, organizational judgment, and human accountability

Read the full recommendation in PlayNext →

Kubernetes complexityAI infrastructurecloud-native standardsservice mesh operationsinfrastructure as codeenterprise adoptionedge inferenceopen-source ecosystems

Talks about

Technology AI Infrastructure

Best episodes of The New Stack Podcast

Short reviews from the PlayNext desk, based on the episodes we processed.

Can you make Kubernetes invisible? Here's why AWS is on a mission to do it.Apr 14, 2026

AWS's case for making Kubernetes less painful without claiming the hard parts have disappeared.

The episode keeps its attention on a practical goal: making Kubernetes easier to work with without pretending the platform has stopped being complicated.

The next stages of AI conformance in the cloud-native, open-source worldApr 9, 2026

A practical look at how AI conformance could make cloud-native systems easier to trust.

The episode asks whether AI will need a shared contract in the same way Kubernetes did with conformance, and what that might mean once GPUs, storage, networks, and applications all have to fit together.

Microsoft wants to make service mesh invisibleApr 8, 2026

A grounded look at how Istio operations change once AI workloads enter the picture.

The episode stays with the less glamorous side of service meshes: upgrades, day two operations, and the work of making Istio easier to run as platforms change.

You can’t fire a bot: The blunt truth about AI slop and your jobFeb 11, 2026

Enterprise AI feels grounded here, as org charts give way to the actual paths that shape decisions.

The episode follows Writer from an early model-building phase into a more enterprise-minded view of AI, where the real question is how decisions move inside a company.

Stop Writing Code, Start Writing DocsOct 31, 2025

A grounded look at AI moving into the terminal.

The conversation follows a familiar but still useful arc: the terminal is no longer just a place for manual commands, but a place where AI can sit inside the workflow.

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Find your next episode

About The New Stack Podcast

In their own words

As heard by us

Why you'd press play

Talks about

Best episodes of The New Stack Podcast

Podcasts like The New Stack Podcast

Episodes

Kubernetes won the orchestration wars. Its teams are still fighting.

The CNCF is graduating projects faster than ever. AI agents are helping with the due diligence.

Dynatrace wants its AI agents to fix problems instead of adding alerts

Bit Cloud’s next chapter starts after the AI builds your app

CloudBees just committed to an AI-first pivot. Here's why it matters for enterprise DevOps teams

A third option is emerging in the fight over AI and your data

Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents

How to find failures without drowning in tracing data

Why CPUs still matter in the age of AI agents

Why Doist Says Less AI Can Deliver More

Why your company should (try to) build its own AI SRE

Nvidia

Meet Brain, the AI that decides when Azure is officially down

What comes after attention? This startup says it already knows.

“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production

Public cloud vs. on-prem: Summit on where each workload belongs

Gusto Cofounder: An AI agent that runs payroll, HR, and benefits without waiting to be asked

WeAreDevelopers is coming to the US to give unsung developers a bigger voice

Why MotherDuck refuses to fork DuckDB

JetBrains is selling independence as the rest of AI coding picks sides

Why Block handed Goose to the Linux Foundation

Fivetran's CPO: closed data stacks won't survive the agent era

The new FinOps problem isn't cloud bills

How Microsoft is governing thousands of Kubernetes clusters without manual intervention

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert

Why long-running AI agents break on HTTP and how Ably is fixing it

Fresh data has us asking, does AI demand Kubernetes?

How SUSE positions itself as the infrastructure layer for the AI era

Cut AI token usage by 96%? Here’s how AWS Strands Agents does it.

Why Broadcom is betting on a private cloud comeback

Why Broadcom gave Velero to the CNCF Sandbox — and what it means for Kubernetes data protection

Why AI engineering needs old-school discipline

Jim Bugwadia on why finding a Kubernetes problem is only half the battle for Kyverno users

How AWS Bedrock is shaping Model Context Protocol

Why Microsoft is betting on temporary identities to stop autonomous agents from going rogue

As agentic AI explodes, Amazon doubles down on MCP

A year in, Google wants its Axion processors to feel like a scheduling decision

Can you make Kubernetes invisible? Here's why AWS is on a mission to do it.

The next stages of AI conformance in the cloud-native, open-source world

Microsoft wants to make service mesh invisible

Amazon EKS Auto Mode wants to end Kubernetes toil — one node at a time

Edge-forward: Akamai eyes sweet spot between centralized & decentralized AI inference

Kubernetes co-founder Brendan Burns: AI-generated code will become as invisible as assembly

AI can write your infrastructure code. There's a reason most teams won't let it.

OutSystems CEO on how enterprises can successfully adopt vibe coding

Inception Labs says its diffusion LLM is 10x faster than Claude, ChatGPT, Gemini

NanoClaw's answer to OpenClaw is minimal code, maximum isolation

The developer as conductor: Leading an orchestra of AI agents with the feature flag baton

The reason AI agents shouldn’t touch your source code — and what they should do instead

You can’t fire a bot: The blunt truth about AI slop and your job

GitLab CEO on why AI isn't helping enterprise ship code faster

The enterprise is not ready for "the rise of the developer"

Meet Gravitino, a geo-distributed, federated metadata lake

CTO Chris Aniszczyk on the CNCF push for AI interoperability

Solving the Problems that Accompany API Sprawl with AI

CloudBees CEO: Why Migration Is a Mirage Costing You Millions

Human Cognition Can’t Keep Up with Modern Networks. What’s Next?

From Group Science Project to Enterprise Service: Rethinking OpenTelemetry

Why You Can't Build AI Without Progressive Delivery

Do All Your AI Workloads Actually Require Expensive GPUs?

How Nutanix Is Taming Operational Complexity

Breaking Data Team Silos Is the Key to Getting AI to Production

Why AI Parallelization Will Be One of the Biggest Challenges of 2026

How Nutanix Is Taming Operational Complexity

Kubernetes GPU Management Just Got a Major Upgrade

The Rise of the Cognitive Architect

Why the CNCF's New Executive Director is Obsessed With Inference

Kubernetes Gets an AI Conformance Program — and VMware Is Already On Board

How etcd Solved Its Knowledge Drain with Deterministic Testing

Helm 4: What’s New in the Open Source Kubernetes Package Manager?

All About Cedar, an Open Source Solution for Fine-Tuning Kubernetes Authorization