Tracegrid vs Grafana
Managed AI monitoring vs the DIY observability stack
Grafana plus Prometheus plus Loki is the most flexible monitoring stack in the world. It is also a stack you have to assemble, tune, and operate yourself — forever.
| Feature | Tracegrid | Grafana stack |
|---|---|---|
| Starting price | Free | Free (self-host) / $0–2,000+ Cloud |
| Who operates it | We do | You do |
| Setup time | 60 seconds | Days to weeks |
| Dashboards to build | None — opinionated | You build them |
| AI incident explanation | Yes | No |
| Failure pattern library | 400+ patterns | Write your own rules |
| Alert tuning | Pre-tuned | Manual PromQL |
| Auto remediation | Yes | No |
| Expertise required | None | PromQL + ops knowledge |
The hidden cost of free
Grafana itself is free and excellent. The cost is everything around it: standing up Prometheus, scaling its storage, running Loki for logs, writing PromQL alert rules, building dashboards, and keeping all of it patched. That work never finishes — it becomes someone's part-time job, and that someone is usually your most expensive engineer.
Grafana Cloud removes the hosting burden but not the assembly burden, and the bill climbs quickly past $200–2,000/month once log volume grows.
Dashboards vs answers
A Grafana dashboard shows you a beautiful graph of CPU at 94%. It does not tell you the checkout service is scanning the entire orders table because a deploy removed an index. Tracegrid skips the dashboard-building entirely and gives you the answer — the root cause and the exact command to fix it.
When to choose Grafana
You have a platform team that wants total control, custom metrics pipelines, and the flexibility to visualise anything. You enjoy (or need) owning the observability stack. Grafana is unmatched for that.
When to choose Tracegrid
You would rather ship product than operate Prometheus. You want monitoring that works in 60 seconds with sensible defaults and explains incidents in plain English. You do not have — or do not want to dedicate — an engineer to run the monitoring stack itself.
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