Live infrastructure monitoring

You're AI-native.
Your infrastructure should be too.

You stopped writing boilerplate. You stopped designing from scratch.
Stop babysitting servers.

Get Started Free Explore Concepts
caveman — live feed
streaming
12:04:37 Scaled us-east-1 to 5 machines
12:04:35 CPU normalized at 42%
12:04:33 Memory spike detected in api-prod
12:04:31 Autopilot engaged: scaling decision
12:04:28 Health check passed: all regions
12:04:24 Request latency: 23ms avg
12:04:19 Connected to fly.io API

For the believers

You're building the future with AI.
Why manage infrastructure like it's 2015?

Claude writes your code. GPT answers your questions. Your IDE autocompletes everything. But when it comes to infrastructure — you're still SSH-ing into boxes, writing YAML, and setting up Grafana dashboards at 2am. Something's off.

The old way
✗ SSH into 12 machines to check logs
✗ Configure Prometheus + Grafana + Alertmanager
✗ Write Terraform for every change
✗ Wake up at 3am to scale manually
✗ Parse cryptic error messages alone
With Caveman
✓ Stream logs from all machines, one view
✓ Dashboards that work out of the box
✓ Scale with a slider, not a config file
✓ AI autopilot handles scaling decisions
✓ Get explanations, not just alerts

While others configure Grafana

You're already watching.

The fastest teams don't set up monitoring. They ship, and their tools catch up. Zero config. Zero YAML. Open the dashboard and it's already working.

Your competitors are still writing Terraform. You're already scaling.

Mission Control Live

CPU

42%

Memory

2.4 GB

Requests

1.2k/s

Latency

23ms

Machines 5 running

Ugh. CPU at 98% on us-east-1 for 3 hours. You deploy spaghetti code again?

Bump machines 3 → 5? Or... write better code.

Scale it up.
You

Done. 5 machines running. CPU dropping.

You owe me a steak.

While others wait for on-call

You already fixed it.

3am incidents are for teams without AI. Caveman watches, detects, suggests, acts. By the time you wake up, it's already handled.

The DevOps engineer you can't afford to hire. Except it never sleeps.

While others guess their burn

You know exactly.

Every dollar tracked. Every idle machine called out. Know your costs before your investors ask. Know your waste before it compounds.

Startups that survive know their numbers. This is how you know yours.

This Month Under budget

$127.43

Forecast: $183 by month end

api-prod $67.20
web-frontend $42.80
staging-worker (idle) $17.43

The AI-native stack is here

The teams shipping fastest right now
aren't doing infrastructure the old way.

Claude writes the code. Cursor autocompletes it. v0 designs it. And Caveman runs it. This is the stack. You're early. Stay early.

Get Started Now

Free to start. No credit card. Deploy in minutes.