57 posts
When you're running multiple AI coding agents across terminals, you lose track of what each one is doing. aimux multiplexes them into a single dashboard with full visibility, trace inspection, annotation for evaluation, and now infrastructure support for scaling agents to Kubernetes.
Container registries store bytes. They don't know what's inside. The Agent Registry is a governance layer for AI agents, skills, and MCP servers, built on A2A AgentCard, MCP server.json, and Agent Skills as native identity formats.
Every agent team rebuilds the same auth, rate limiting, and credential management. I built an agent gateway for Kubernetes that generates it all from two CRDs so the people building agents never touch security and the people running the platform never touch agent code.
The agent gateway for Kubernetes. Covers agent discovery, authentication, routing, credential injection, rate limiting, and MCP protocol support.
n8n is good at workflow automation. But when your workflows touch internal models and sensitive data, you need it on the same cluster. Here's how to deploy n8n on OpenShift and wire it into vLLM and OpenShift AI.
An interactive overview of Kata Containers architecture end-to-end, from the CRI runtime to the lightweight VM boundary.
—
Recently I have been trying to wrap my head around what has been happening in the kubernetes runtime space, doing so made me realize that alot has happened and...
—
Kubernetes has been taking over the container orchesteration stage for sometime now, it has a large community and a great set of tooling and contributers...
Okay, so I am going to try and make this brief and to the point for you to get going. You need a Kubernetes cluster working with Kubeadm? good you are in the...