Every P1 post mortem I’ve been part of over the years usually ended with that we should’ve had monitoring for that. I looked for a solution that could surface those gaps across our entire stack but couldn’t find one, so I built it.
Cova scans your environment and identifies monitoring gaps before the next incident hits. It integrates with tools like Pagerduty, Datadog, Grafana, Sentry, Newrelic ect.. and audits your configs automatically. Each finding comes with a severity, a suggested fix, and a coverage score so you can clearly see where you’re exposed.
Beyond the audit, it can generate and deploy fixes to your tools in one click, scan repos (Github/Gitlab) to find unmonitored endpoints, investigate live incidents by pulling data across connected tools, and even flag new endpoints in PRs before they ship.
Tech stack I used: FastAPI + React, with Claude for the AI layer.
I also put together a demo on the landing page, just click “Enter Demo” to explore with sample data (no signup required). If you want to try the full capabilities, let me know and I can give you elevated access on the free tier. AMA!
Cova scans your environment and identifies monitoring gaps before the next incident hits. It integrates with tools like Pagerduty, Datadog, Grafana, Sentry, Newrelic ect.. and audits your configs automatically. Each finding comes with a severity, a suggested fix, and a coverage score so you can clearly see where you’re exposed.
Beyond the audit, it can generate and deploy fixes to your tools in one click, scan repos (Github/Gitlab) to find unmonitored endpoints, investigate live incidents by pulling data across connected tools, and even flag new endpoints in PRs before they ship.
Tech stack I used: FastAPI + React, with Claude for the AI layer.
I also put together a demo on the landing page, just click “Enter Demo” to explore with sample data (no signup required). If you want to try the full capabilities, let me know and I can give you elevated access on the free tier. AMA!