Azure Local on Galleon: When Cloud Must Work Without the Cloud
Azure Local on Armada's Galleon MDC delivers sovereign AI inference that runs fully disconnected, without cloud dependency, for defense and regulated industries.
KubeCon 2026: Kelsey Hightower on AI and the Expertise Reset
Kelsey Hightower at KubeCon: when AI moves this fast, expertise resets. What 'everyone is junior on AI' means for platform engineering teams building on open source.
LLMs on Kubernetes: The Four Threats That Actually Matter
Kubernetes has no visibility into what LLM workloads do. CNCF maps OWASP's Top 10 LLM risks to the infrastructure patterns platform teams already know.
AI-Generated Code and Open Source Risk: What OSSRA 2026 Found
The 2026 OSSRA analyzed 947 codebases and found 581 vulnerabilities per codebase on average — up 107%. Here's what AI-generated code has to do with it.
WebAssembly vs Containers: What WASI 0.3 Actually Changes
WASI 0.3 finalizes the WebAssembly component model, enabling 5–10x faster cold starts than containers. Here's what it means for platform engineering teams.
The $43,800 Hidden Tax on Kubernetes: How Virtual Clusters Fix Platform Team Sprawl
Cluster sprawl consumes 25–30% of platform engineering time. Virtual clusters eliminate the hidden tax — without sacrificing the isolation teams actually need.
AWS Bedrock AgentCore: Architecting Agentic AI for Production
AWS's architectural blueprint separates agentic AI into three layers — orchestration, tools, and knowledge — closing the gap between prototype and production.
The Platform Under the Model: Why Cloud Native Infrastructure Determines AI Production Success
82% of container users run Kubernetes in production. Only 41% of AI developers identify as cloud native. That gap is where most AI production failures happen.