Dev
Mock Prometheus Metric Generator
Prometheus scraping, Grafana dashboards, and alerting rules all need something to parse before you can validate them against real-world data. Writing exposition-format text by hand is tedious and error-prone — the HELP and TYPE comment lines, the label syntax, and the histogram bucket structure all have to be right. This tool generates a block of Prometheus metrics with no inputs required, covering the three core metric types: a counter (http_requests_total with service, method, and status labels), a histogram (request_duration_seconds with le buckets, sum, and count), and a gauge (process_memory_bytes). All output is in the plain-text Prometheus exposition format. Click Generate and copy the block into a test endpoint, a Grafana datasource test, or a unit test for your metric parser. The values are random and the service label is drawn from api, web, worker, and auth. These are illustrative — they will not match your actual metrics. Use them to test tooling, then wire up a real exporter when you validate end-to-end.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Click Generate to produce metrics.
- Copy the output into a test or endpoint.
- Use it to test scraping or dashboards.
- Adapt the names to your own service.
Use Cases
- •Testing a Prometheus scraper
- •Building a Grafana dashboard
- •Learning the metric format
- •Seeding sample metrics
- •Demoing observability tooling
Tips
- →Counters only increase.
- →Gauges go up and down.
- →Histograms use le buckets.
- →Adapt names to your service.
FAQ
what metric types does the generator produce
Three types: a counter (http_requests_total, only ever increases), a histogram (request_duration_seconds, with le buckets, sum, and count), and a gauge (process_memory_bytes, can go up and down). Each appears with its HELP and TYPE comment lines as the real format requires.
what is the prometheus exposition format
It is the plain-text format Prometheus scrapes: optional # HELP and # TYPE comment lines for each metric family, followed by sample lines with the metric name, optional labels in braces, and a numeric value. One metric family can have multiple samples distinguished by their labels.
can I scrape this output directly with prometheus
Not directly from this tool, but you can paste the output into a file served at /metrics on your test server, or feed it to a Prometheus test client. The format is exactly what Prometheus expects, so a correctly configured scrape job will ingest it.
why does the histogram have _bucket, _sum, and _count lines
Prometheus histograms expose three series: cumulative bucket counts (_bucket{le=...}), the total sum of all observed values (_sum), and the total number of observations (_count). Prometheus uses these to compute quantiles via histogram_quantile(). The generator produces all three so your dashboard and alerting tests handle the full histogram structure.
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