Been working with Cribl for a while now, and I kept hitting the same wall: how do I *really* know my pipeline is healthy? The built-in metrics are great, but I wanted a single pane of glass for the stuff that keeps me up at night.
So I built a dashboard that focuses on two key things:
- **Cribl's own health** (CPU, memory, internal queue stats)
- **Potential data backlog/risk** (worker group queue depth, processing lag)
It's pieced together from Cribl's internal metrics and pulls into a Grafana dashboard. The immediate wins:
* Spot a memory creep *before* it causes drops.
* See which worker groups are falling behind in real-time.
* Correlate internal queue growth with source health.
It’s basically an early warning system for the engine room. If anyone's interested, I can share the key queries and the dashboard JSON. What metrics do you all watch most closely?
~hj
Automate the boring stuff.