Build resilient guardrails for OpenClaw AI agents on Kubernetes
Learn how to secure AI agents like OpenClaw using containers for isolation, RBAC for access control, secrets management, and full observability on Kubernetes.
I’m Cedric, a developer advocate based at Red Hat, with a background in Kubernetes, DevOps, and container tools. I love all things open-source, and create demos, workshops, and content to make developers' lives easier! Based out of New York City.





Learn how to secure AI agents like OpenClaw using containers for isolation, RBAC for access control, secrets management, and full observability on Kubernetes.
Learn how Model Context Protocol (MCP) standardizes how AI models discover and call tools, enabling the shift from simple chatbots to reliable agentic AI applications.
A look at the open source AI model landscape in 2025, from DeepSeek and Qwen to gpt-oss and small language models, and how to run them on your own hardware.
Learn how to run AI models locally with RamaLama, an open source project that simplifies running AI models in containers for local inference, serving, and RAG.