Operate watches what runs in production and turns noise into a short list of real problems. It takes in the logs, groups errors by cause, triages each one and finds the root cause, then sends the fix back through Build, Stage, Verify and Release, with the requirement it violates attached. Patches reach production strictly on approval.
Operate runs continuously, and its output flows backwards, into Build.
Signal, triage, diagnosis: each step answers the next question an engineer on call would ask, and the last one hands the fix to Build.
Each one has a codename, one job and a record of everything it did. These views show a sample project.
It takes in production logs and errors, normalizes them and fingerprints each one, so a thousand occurrences of the same failure become one issue with a count, not a thousand alerts. That alone removes most of the noise an on-call engineer wades through.
For every open issue it works out how severe it is, how far it reaches, whether it is a regression and which release introduced it. And because every release knows the requirements it closed, it can say which requirement the error violates and which business goal is at risk.
It correlates the failing signal with the architecture and the changes in the originating release, and writes a root-cause hypothesis with its evidence and a confidence score. Then it drives the fix: a Build ticket, built with Test-Driven Development, that travels through Stage and Verify and ships only when a person approves it.
Operate reads production; it does not change it. Every fix travels back through Build, Stage and Verify, and reaches production only after a named person approves it, with the evidence and the way back on the same page.
A production error arrives as a requirement, not a stack trace: “violates BRQ-0014, which realizes OBJ-0001.” The fix earns its way back to production through every gate.
We open Orlian on a live project and walk you through the Operate wing: what goes in, what the agents produce, and where a person signs. No slides.
