Nobl9 is the reliability platform, built on service level objectives (SLOs) and error budgets. It tells you whether the services your customers depend on are working, how much room you have before they notice a problem, and what to fix first. With this app, you can ask ChatGPT those questions in plain words and get answers from your own live Nobl9 data, in the same conversation where you do the rest of your work.
Ask things like: Which of my services are closest to burning their error budget this month? What reliability target should the payments API have, given how it has behaved? Which alerts fired this week and which ones mattered? Set up a target for this service, and show me before you change anything.
What you get: a straight answer on service health in one question; the story behind an alert, with the data that fired it; reliability targets built from how your services behave for users, with the error budget tracked against real monitoring data; alerts that page when a budget is burning fast and stay quiet when it drifts slowly; a status update you can paste into a channel, written from the numbers.
Nobl9 works from the monitoring tools your team already runs, including Prometheus, Datadog, Dynatrace, New Relic, Amazon CloudWatch, Google Cloud Monitoring, Splunk and others, so there is nothing new to instrument and the answers match your dashboards.
What it can do: read your services, SLOs, error budgets, alerts and connected data sources; run a query against a connected data source; and draft, validate or apply an SLO or alert policy when you ask.
How it stays safe: you sign in with your own Nobl9 account, and ChatGPT sees only what you can see. Asking questions never changes anything. When you ask it to set up or change a target or an alert, it drafts the change, validates it against your organization, and shows you the full definition.
Requires a Nobl9 account. Documentation: docs.nobl9.com/tools-and-utilities/mcp-server