Virtualization & Cloud Concepts — Modern Infrastructure Fundamentals The shift from physical servers to virtualized and cloud-based infrastructure is one of the most significant changes in IT over the past two decades. For anyone working in IT today, understanding virtualization and cloud computing isn’t optional — it’s table stakes. ...
Paperclip.ai is a self-hosted AI project management platform. It gives you a Linear-style issue tracker where AI agents can actually pick up tasks, reason through them, and take action — all running on your own infrastructure. No cloud dependency, no data leaving your environment. For a homelab running a SOC stack, threat intelligence pipelines, and a growing collection of automation projects, having an AI agent that can work through a backlog is genuinely useful. ...
Running a homelab Ubuntu server long enough and you’ll hit two milestones eventually: the drive fills up and you need to migrate to a larger one, and your stack needs a proper maintenance pass to stay current. Both operations are straightforward once you understand the order of operations — but get either one wrong and you’re looking at an unbootable system or a fleet of containers that won’t start. ...
The multi-agent security pipeline we built earlier produces useful reports — structured risk analysis, mitigations, recommendations. But it has a ceiling: every agent reasons from what the model learned during training. It doesn’t know about the domain that started hosting malware last week, the C2 infrastructure tied to a campaign your MISP instance just ingested, or the specific indicators your feeds have flagged today. ...
Most AI project tutorials end the same way: deploy to AWS, add an OpenAI API key, pay monthly. That works, but it sidesteps the more interesting question — what does it look like to build something real without handing control to a cloud provider? ...
If you’ve followed the Self-Hosted AI Stack walkthrough, you’ve got Ollama running locally, OpenClaw as your agent UI, and the whole thing locked down behind Tailscale. That’s a solid foundation. But a chat interface, however useful, isn’t the ceiling of what this stack can do. ...
There’s a certain appeal to running your own language model. No API costs, no data leaving your network, no rate limits, no terms of service to worry about when you feed it sensitive context. For anyone who works in security — or just values privacy — the idea of keeping inference local is worth the setup cost. ...
CyberGrind is a personal cybersecurity portfolio, threat intelligence platform, and educational resource — all running on free and open source tooling. This article documents how it was built: the design decisions, the architecture, how all the pieces connect, and the gotchas learned along the way. ...
What I Built and Why Most threat intelligence dashboards are either expensive enterprise platforms or simple embeds pulling from someone else’s API. Neither felt right for a portfolio — one costs money, the other doesn’t demonstrate anything about your actual capabilities. ...