What is the quickest way to configure Prometheus metrics collection for a custom Go microservice running in production?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the quickest way to configure Prometheus metrics collection for a custom Go microservice running in production?
1 real search · 1 real-search pass
Prometheus Go client official documentation promhttp instrumentation custom metrics scrape configuration production best practicesGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Prometheus Go client official documentation promhttp instrumentation custom metrics scrape configuration production best practices Google ↗
- GitHub - prometheus/client_golang: Prometheus instrumentation library for Go applications · github.com
- Instrumenting a Go application for Prometheus · prometheus.io
- Configuration · prometheus.io
- Instrumentation · prometheus.io
- Instrumenting HTTP server written in Go · prometheus.io