Listen Score
LS 37
Global Rank
TOP 2.5%

ABOUT THIS PODCAST 🔗

Update frequency:
weekly
Average audio length:
30 minutes
Guest interviews
English
United States
660 episodes
since Aug. 16, 2019
episodic

AUDIENCE OF THIS PODCAST 🔗

~97.47% of listeners are from United States.
🇺🇸
US
97.47%
🇸🇪
SE
0.59%
🇵🇭
PH
0.24%
🇩🇰
DK
0.23%
🇫🇷
FR
0.20%
🇨🇦
CA
0.18%
🇳🇱
NL
0.16%
Others
0.93%
* Data source: directly measured on Listen Notes. real-time

LATEST EPISODE 🔗

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, while…

SEARCH PAST EPISODES

Search past episodes of The New Stack Podcast.

PREVIOUS EPISODES

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 — year…
Dynatrace completed its $915 million acquisition of Arize on Oct. 1, combining Dynatrace’s application and infrastructure monitoring with Arize’s AI agent tracing and evaluation capabilities. The deal aims to provide a unified view of AI applications, from model behavior to the underlying systems s…
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 H…
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 i…
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 between…
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 volume …
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 vol…
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 work…
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 in…
Disclaimer: The podcast and artwork embedded on this page are from The New Stack, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.