Why Enterprise AI Is Really an Infrastructure Problem | Colton, Spectro Cloud
Enterprise ai Ai infrastructure Kubernetes Software supply chain security Sbom Log4shell Edge ai Ai governance Container security Spectro cloud Docker
This Docker podcast episode explores why enterprise AI success depends more on infrastructure than model selection. It covers software supply chain security lessons from Log4Shell, SBOMs for dependency visibility, AI code governance risks, and Kubernetes deployments in public sector environments. The discussion is aimed at infrastructure engineers, platform teams, and technical decision-makers building production AI systems.
Related videos
Cloud Native Live Fireside Chat—Powering Private AI: Customer’s View
Commit-Then-Disclose: Cryptographic SBOM Auditing Without IP Leakage - Sharvil Bhatt & Swastik Gour
Making the Most of Your Docker Hardened Images (Docker Tutorial)
Introducing OCI Webhook Support in Argo CD: From Polling To Real-Time - N. Kumar & S. Mishra
What is Spanner Omni?
Sandbox for Agentic Application With Cloud Native Stack - Xu Wang, Ant Group & Yu Hu, JAPAN AI
From tokenmaxxing to tokenomics for your AI agents
Keep Cloud Native Moving: Building Japan's Platform for Open... - Jonathan Bryce & Chris Aniszczyk
Infinite Agents, Finite Kubernetes - Mohammad Mikal Bin Amrul Halim Gan, Softbank Corp.
What Docker Sandboxes Get Right About AI Security
Run NanoClaw on MacBook Safely with Docker MicroVM Sandboxes
