Why we're building Alrith

Operations tooling has sprawled. Metrics live in one silo, logs in another, traces in a third, and the glue between them is a pile of dashboards, runbooks, and tribal knowledge that someone has to keep alive.

When something breaks, you don't find out from one place. You stitch it together — a metric here, a log line there, a guess about how the pieces connect. Mean time to understanding is measured in tabs, not minutes.

One surface instead of many

Alrith is our answer: a single operational control plane that spans observe, understand, and operate.

• Observe — agents collect metrics, logs, traces, and topology where the data already lives. No new central silo to feed.
• Understand — conductors correlate those signals into a live model of your systems, so you go from symptoms to likely cause with blast radius.
• Operate — coordinate operations through the same plane, for both human teams and AI agents.

Built to last

We're holding ourselves to three principles: simple, broad, and timeless.

One lightweight agent per machine, with no sidecars to manage. Every cloud, rack, and edge — Kubernetes-native, VM-friendly, bare-metal fluent. Open protocols and plain data you can walk away with, because your instrumentation should outlive any vendor, including us.

Where we are

Alrith is in active development, with a public launch targeted for 2027. This journal is where we'll share progress as we go — what we're building, why, and what we learn along the way.

If you're tired of stitching silos together, stay tuned.