Real systems, real numbers — infrastructure built to be owned, not rented.
3–12× below metered SaaS · self-healing · yours to ship
A self-hosted, all-signals observability platform (metrics, logs, traces) running in the customer's own cloud — one deployment replaced a ~$60K/month Datadog bill; another took over an AWS-managed stack at ~10× the data for half the cost. Autonomous spokes, no central point of failure, and embeddable in your own product.
~$17K/month egress → $0 · hybrid cloud + bare metal
A crypto trading platform was paying ~$17K/month to pull blockchain data into the cloud. We moved the compute to the data — bare-metal Kubernetes beside the nodes — secured it on hardware we didn't own, and ran it all as one portable stack.
Stranded hardware → elastic, self-service cloud
A global payments platform needed a real, dynamic cloud but couldn't use a public one. We built an on-prem OpenStack cloud from already-purchased hardware that had nowhere to go — self-service, elastic, and secured so hard the pen-testers couldn't get in to test it.
~30,000 servers, zero downtime · one ground truth
Replacing a custom userspace config system on ~30,000 servers with commodity Chef — and winning the cross-team politics that made it possible. Simpler, supportable by anyone, and one source of truth for Dev, Infra, Security, and Audit.
Beat a $1M product · still running 15+ years
A self-service PKI and key-delivery system that let an unskilled user issue a TLS certificate and push it to production safely — with a full audit trail from creation to restart. Beat a $1M commercial product that couldn't even do last-mile delivery.
85% MTTR reduction · 60–80% of triage automated
An AI diagnostic bot that investigates incidents across logs, metrics, and traces — and why the bot is the easy part. The real work is an observability design that makes the data equally available to humans and machines.