Products
Grafana Cloud
Monitor, analyze, and act faster with AI-powered observability.
LGTM+ Stack
Key Capabilities
Observability Solutions
Open Source
Community resources
Dashboard templates
Try out and share prebuilt visualizations
Prometheus exporters
Get your metrics into Prometheus quickly
end-to-end solutions
Opinionated solutions that help you get there easier and faster
monitor infrastructure
Out-of-the-box KPIs, dashboards, and alerts for observability
visualize any data
Instantly connect all your data sources to Grafana
Learn
Community and events
Resources
Help build the future of open source observability software Open positions
Check out the open source projects we support Downloads
Grafana Cloud
Monitor, analyze, and act faster with AI-powered observability.
Observability Solutions
The actually useful free plan
10k series Prometheus metrics
50GB logs, 50GB traces, 50GB profiles
500VUh k6 testing
20+ Enterprise data source plugins
100+ pre-built solutions
3 active AI users
end-to-end solutions
Opinionated solutions that help you get there easier and faster
visualize any data
Instantly connect all your data sources to Grafana
“What’s happening in my application logic?”
| Problem | How Level 4 helps |
|---|---|
| “How many orders were placed this hour?” | Custom application metrics |
| “What’s our checkout conversion rate?” | Application-specific counters |
| “Why did this specific calculation fail?” | Custom spans with application context |
| “What was in the user’s cart when they abandoned?” | Enriched trace attributes |
Teams that need to answer questions auto-instrumentation can’t:
Auto-instrumentation is powerful, but it only sees what it’s designed to see: HTTP requests, database calls, framework operations. It has no idea what your application logic is doing.
Level 4 fills that gap. How many orders were placed this hour? What’s our checkout conversion rate? Why did this specific discount calculation fail? What was in the user’s cart when they abandoned it? These are application-specific questions, and answering them requires custom instrumentation.
Level 4 is for teams that need to answer questions auto-instrumentation can’t: What’s the revenue impact of this outage? Which feature is causing performance problems? Where are the bottlenecks in our application workflows?