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The New Stack Podcast — 300 episodes · page 1 of 3

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Title
1

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

2

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

3

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

4

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

5

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

6

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

7

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

8

How to find failures without drowning in tracing data

9

Why CPUs still matter in the age of AI agents

10

Why Doist Says Less AI Can Deliver More

11

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

12

Nvidia

13

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

14

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

15

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

16

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

17

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

18

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

19

Why MotherDuck refuses to fork DuckDB

20

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

21

Why Block handed Goose to the Linux Foundation

22

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

23

The new FinOps problem isn't cloud bills

24

How Microsoft is governing thousands of Kubernetes clusters without manual intervention

25

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

26

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

27

Fresh data has us asking, does AI demand Kubernetes?

28

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

29

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

30

Why Broadcom is betting on a private cloud comeback

31

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

32

Why AI engineering needs old-school discipline

33

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

34

How AWS Bedrock is shaping Model Context Protocol

35

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

36

As agentic AI explodes, Amazon doubles down on MCP

37

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

38

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

39

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

40

Microsoft wants to make service mesh invisible

41

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

42

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

43

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

44

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

45

OutSystems CEO on how enterprises can successfully adopt vibe coding

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

Meet Gravitino, a geo-distributed, federated metadata lake

54

CTO Chris Aniszczyk on the CNCF push for AI interoperability

55

Solving the Problems that Accompany API Sprawl with AI

56

CloudBees CEO: Why Migration Is a Mirage Costing You Millions

57

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

58

From Group Science Project to Enterprise Service: Rethinking OpenTelemetry

59

Why You Can't Build AI Without Progressive Delivery

60

How Nutanix Is Taming Operational Complexity

61

Do All Your AI Workloads Actually Require Expensive GPUs?

62

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

63

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

64

Kubernetes GPU Management Just Got a Major Upgrade

65

The Rise of the Cognitive Architect

66

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

67

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

68

How etcd Solved Its Knowledge Drain with Deterministic Testing

69

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

70

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

71

Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible

72

2026 Will Be the Year of Agentic Workloads in Production on Amazon EKS

73

From Cloud Native to AI Native: Where Are We Going?

74

Amazon CTO Werner Vogels' Predictions for 2026

75

How Can We Solve Observability's Data Capture and Spending Problem?

76

How Kubernetes Became the New Linux

77

Keeping GPUs Ticking Like Clockwork

78

Jupyter Deploy: the New Middle Ground between Laptops and Enterprise

79

From Physics to the Future: Brian Granger on Project Jupyter in the Age of AI

80

Jupyter AI v3: Could It Generate an ‘Ecosystem of AI Personas’?

81

Stop Writing Code, Start Writing Docs

82

Why PyTorch Won

83

Harness CEO Jyoti Bansal on Why AI Coding Doesn't Help You Ship Faster

84

How Agentgateway Solves Agentic AI’s Connectivity Challenges

85

Sentry Founder: AI Patch Generation Is 'Awful' Right Now

86

Why Linear Built an API For Agents

87

ServiceNow Says Windsurf Gave Its Engineers a 10% Productivity Boost

88

How the EU’s Cyber Act Burdens Lone Open Source Developers

89

How Warp Went From Terminal To Agentic Development Environment

90

The Linux Foundation In The Age Of AI

91

Is Your Data Strategy Ready for the Agentic AI Era?

92

MCP Security Risks Multiply With Each New Agent Connection

93

Why Your ‘Data Exhaust’ Is Your Most Valuable Asset

94

The Top AI Tool for Devs Isn’t GitHub Copilot, New Report Finds

95

Confronting AI’s Next Big Challenge: Inference Compute

96

Databricks VP: Don’t Try to Speed AI Evolution through Brute Force

97

How Fal.ai Went From Inference Optimization to Hosting Image and Video Models

98

Why AI Agents Need a New Kind of Browser

99

How AWS is Working to Help Developers with AI Reality

100

How Shortwave Wants To Reinvent Email With AI