Cova
Your monitoring has blind spots. We find them. We fix them.
2 followers
Your monitoring has blind spots. We find them. We fix them.
2 followers
Most monitoring tools tell you what's happening. None audit your full stack across multiple tools. Cova connects to your existing stack (Datadog, PagerDuty, Grafana, Sentry, New Relic, Sumo Logic, Splunk), scans everything in seconds, and gives you a health score with every coverage gap. AI generates production-ready fixes you can deploy with one click. Scan repos for unmonitored endpoints, flag missing monitors in PRs and MRs before code ships, and investigate incidents with AI Autopilot.
Hey everyone 👋 - Paul here, founder of Cova.
I built this because I kept running into the same problem at work: we had multiple monitoring systems (Datadog, Sentry, Sumo Logic..) all running, but nobody had a clear picture of what was actually covered. Every major incident post-mortem ended with "why didn't we have monitoring for that?"
The reality is that monitoring stacks grow organically. Alerts get set up for whatever burned the team last, but nobody goes back to audit the full picture. Services ship without monitors. Thresholds go stale. Dashboards exist that nobody watches.
I built Cova to answer two questions: what's missing, and how does it get fixed?
Here's what it does today:
- Connects to 7 tools (Datadog, PagerDuty, Grafana, Sentry, New Relic, Sumo Logic, Splunk) and scans your entire stack in seconds.
- Monitor Scan surfaces every coverage gap across all your tools with a single health score.
- AI generates production-ready monitor configs - correct service tags, thresholds, escalation policies - and deploys them directly to your tools in one click.
- Repo Scan scans your Github/Gitlab repos to find endpoints and services with zero monitoring, down to the file and line.
- Incident Autopilot lets you describe a symptom during a live incident and get blast radius, related alerts across all connected tools, and a prioritized triage checklist.
- PR Guard flags missing monitors on new code in PRs and MRs before it ships, and posts a comment with recommendations.
Happy to answer questions or take feedback.
I tested Cova, and it’s incredibly user friendly. Within minutes, you gain valuable insights into your monitoring configurations and can on the spot implement corrective measures. What used to take me weeks, chasing the right teams, creating JIRA tickets, waiting for their availability, and finally receiving their feedback, can now be accomplished in minutes. I can ensure that best practices are followed and quickly remediate any issues. It’s almost a no brainer if you feel like your team is constantly reactive and you hear people say they don’t have time to review and configure monitoring tools. Cova is a great example of how AI can help with time consuming tasks that nobody wanted to do in the first place :)
@kiranphil2020 You nailed it - the real bottleneck was never the actual fix, it was the coordination. Chasing teams, waiting on tickets, hoping someone has bandwidth next sprint. The monitoring work itself is usually straightforward, but nobody wants to own it so it just sits there. That's exactly the gap we're trying to close - skip the back and forth and just get it done in the moment. And you're right that it's a perfect use case for AI, it's tedious, repetitive, and follows known best practices - no reason a person should be spending hours on it. Thanks for giving Cova a spin and sharing your experience here, much appreciated!