The AI-powered production debugger for software engineers
Metoro is the AI-powered production debugger. Software Engineers can ask Metoro questions like “why is my webapp down?” and Metoro will investigate, find a root-cause, create bespoke dashboards and surface relevant metrics and logs. We're a team of software engineers from Palantir and Jump Trading who have spend our careers building distributed systems, and we're building the tool we wished we had. Live demo at https://metoro.io
Active Founders
Chris Battarbee
I'm one of the founders of Metoro - We're building an AI-powered production debugger. Before Metoro, I worked at Palantir as a Software Engineer where I built out Foundry's compute platform. Prior to that, I was at Improbable working on SpatialOS - a large-scale distributed game engine. I've spent my career building and debugging large-scale distributed systems and now I'm building Metoro to help others do the same!
Tom Pointon
Co-founder and CTO at Metoro. Previously at Jump Trading, building and debugging large-scale distributed systems.
Company Launches
tl;dr: Metoro is an AI agent which helps you debug production systems. Ask Metoro for help and it will surface relevant metrics and logs, perform root cause analysis and suggest remediations. It plugs into your existing observability stack (like DataDog, Grafana, Elastic, etc.) and debugs your system with you.
Hi everyone! We’re Chris and Tom, the team behind Metoro. We’re software engineers who have worked on complex distributed systems at Palantir and Jump Trading and are building the debugging tool we wish we had.
The Problem: Debugging production systems is hard
Production systems are complex. It’s difficult to identify the metrics and logs that are relevant to the bug you’re hunting. This problem gets worse if you didn't write the code in the first place, or are unfamiliar with the system.
The Solution: An interactive debugging agent that investigates with you
Metoro acts like an experienced engineer. It understands your system and debugs your services one by one, updating its hypothesis as it discovers new information.
When it’s done, the investigation results are presented to you in an interactive dashboard for you to explore. This includes a root cause hypothesis, potential remediations and relevant logs and metrics for each service it looked at.
Metoro reads data from your existing observability stack. No application or infra changes needed.
Ask: How you can help
- We're signing up teams from startups/scale-ups. If you'd like to try it or know people who would, please shoot us a mail at founders@metoro.io or book a demo call https://calendly.com/chris-battarbee/15-minute
- Check out our website. We’d love your feedback!
- Upvote and share this post!