Show HN: Former Cloudflare SRE building OpsCompanion a live map of whats running

4 points by kennethops ↗ HN
Hey HN, I’m Kenneth. I spent several years as a Senior SRE at Cloudflare.

One thing that became painfully clear over time is that most outages, security issues, and compliance fire drills don’t come from a lack of tools. They come from missing context. People don’t know what’s running, how things connect, or what changed recently, especially once systems sprawl across clouds, repos, and teams.

That’s why I’m building OpsCompanion.

The goal is simple: keep a live, shared picture of what’s actually running and how it fits together.

OpsCompanion helps engineers:

See a live, visual map of services, infrastructure, and dependencies

Answer “what changed?” without digging through five tools, Slack threads, or outdated docs

Preserve operational context so the next person on call isn’t starting from zero

This isn’t about adding more logs or alerts, or slapping AI on top of existing dashboards. It’s about capturing the mental model experienced operators carry in their heads and keeping it shared and up to date.

It’s still early, and there are rough edges. I’ve opened it up to a small group of engineers who work close to production so I can get honest feedback. If it’s useful, great. If not, I genuinely want to understand why and what would make it better.

You can try it here: https://opscompanion.ai/?utm_source=hn&utm_medium=show_hn&ut...

I’ll be around in the comments. Happy to answer technical questions, hear skepticism, get a bit roasted, or talk about what actually breaks in real systems.

3 comments

[ 4.1 ms ] story [ 21.7 ms ] thread
In your pilots so far, what's the feedback you've gotten?
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>The real problem isn't lack of tools - it's that the knowledge is ephemeral. This 100% the problem. This is why we are trying to capture business context and attach it to the infra itself vs just keeping it in docs.

>How are you handling the drift problem? Auto-discovery polling, change events from cloud providers, or something else?

We built a pretty awesome approach to handling the drift problem. We do a combination of indexing, change even capture and then user behavior. So if a user is looking for a information we pull the live value first.