Janet reads your OpenTelemetry data and works out what it means. Ask how a service is doing, what broke, or tell Janet what to watch, in plain English.
How it works
Traces, metrics and logs are hard to read one at a time. Janet ingests your OpenTelemetry data, connects it across services, and keeps that picture current.
You don't write queries or build dashboards first. You ask a question, and Janet investigates the data and tells you what it found.
What you can ask
Janet handles questions, instructions and investigations.
Get a current read on latency, errors and throughput, and how they compare to normal.
Describe what you want watched. Janet sets it up and posts to Slack when it happens.
Janet follows the evidence across services and points to the likely cause.
Anomalies
Janet learns what normal looks like for your infrastructure and flags what departs from it. You don't set a threshold for every metric.
Each finding explains what changed, where, and when it started, so you begin with context rather than a bare alarm.
AI coding tools let teams change more, more often. Every change is a new chance for something to behave differently in production, and nobody has read all of the code that got there.
That makes observability and monitoring matter more, not less. Janet shortens the path from "something is off" to "here's why", so you can find what's wrong without digging through every signal by hand.
Set up your organisation and ask your first question in minutes.
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