
Platform Engineering
The largest community of platform engineers out there. Learn from leading DevOps experts. Connect with fellow platform nerds. This community was born as a series of Meetup events in Berlin, Germany and Austin, Texas. It grew to much more than that in just a few months. We recently launched our Slack community, Platformengineering.org and this channel. More to come. Join our Slack channel - http://platformengineering.org/slack-rd
Episodes


95% of enterprise AI fails | Platform Engineering Meetup in San Francisco

One environment to rule them all: How mirrord eliminates dev environment chaos

How platform engineering is eating observability & security | Weave Intelligence

How artifact caching and virtual registries can supercharge your CI/CD

The $2B migration consulting industry is over: Can Agents actually do it?

Confessions of a Platform Therapist: The 5 biggest “aha” moments from the field

Platform Engineering tools you NEED to know in 2026

My platform has 25,000 customers. This is what we are doing right | Weave Intelligence

Biggest mistakes platform engineering teams make

AI & Platform Engineering: The future of enterprise innovation | Weave Intelligence

How to scale automated testing beyond CI/CD pipelines

Scaling evaluation systems for agentic platforms from prototype to prod

Why are enterprises struggling with Platform Engineering? #1: Adoption

How platforms are foundational to AI: Platform engineering exec roundtable

Backstage + Crossplane + Kyverno for the ultimate platform magic

Repo tricks for scaling GitOps across Kubernetes

Building and running agentic AI platforms on Kubernetes

AI needs platform engineers

Beyond DORA: Metrics, AI and the future of platform engineering
The podcast explores the intersection of AI and platform engineering, particularly addressing how organizations can effectively leverage AI to solve real problems. It emphasizes that successful AI implementation requires a strong engineering foundation, including quality internal platforms, APIs, and data. The discussi...
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