SREday

Site Reliability, DevOps and Cloud

October 2, 2026 San Francisco, CA, USA

1
Day
16+
Speakers
2
Tracks
100+
Attendees

Open Source SRE Agents for your internal Labs

Geoff White
Nexsys Systems LLC
Abstract

At 2 a.m. during the Kubernetes buildout for my home agent lab, my SRE agent Gandalf helped me chase down a routing bug quietly breaking federation between the gateway cluster and five agent homeservers behind a VPN tunnel. A few weeks later, Gandalf moved off my laptop and onto a proper server, the same week the swarm outgrew my desk. That's the origin story of Agent-Matrix: a fleet of sovereign AI agents, each with its own identity on the Matrix protocol, letting people message agents from Element or FluffyChat on their phone exactly like messaging a colleague, without routing a single message through Telegram, Signal, or anyone else's chat cloud. This talk is about what it takes for one SRE, not a platform team, to stand up that fleet on a spare server with open protocols and open source tools. You'll meet Gandalf, the SRE agent watching for Grey Rhinos and helping stabilize Black Jellyfish style cascades, and Galadriel, the research agent drawing on OpenBrain, the fleet's shared long-term memory. I'll give an honest accounting of what's solid today (federation, per-agent identity, shared memory) and what's still being built (full end-to-end encryption via a Rust rewrite of the Matrix MCP server), so you can judge what's worth building at your own org, on your own budget.

Bio

Geoff White is a Principal-level Site Reliability and AI Infrastructure Engineering leader with decades of experience designing and operating enterprise-scale Virtual and Kubernetes platforms. His expertise spans NVIDIA AI Ops, Kubernetes, vSphere, Terraform, Ansible, NSX, and observability stacks such as Prometheus, Grafana, and ELK. Geoff has participated in and led infrastructure deployments and reliability transformations for organizations including Dell and Autodesk, blending automation, DevSecOps, and Agentic Engineering. A hands-on architect fluent in Python, C/C++, and Go, he applies performance engineering and root-cause discipline to build scalable, secure, and compliant enterprise platforms. He values measurable SLOs, cost efficiency, troubleshooting, and engineering mentorship.

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