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[#119] scenarios: Add `Metrics export` section to docs 

Signed-off-by: Dmitrii Stepanov <d.stepanov@yadro.com>
feauture-add-s3-dar-scenario
Dmitrii Stepanov 2024-01-25 09:59:09 +03:00
parent e9edca3e79
commit 965dcdcbe7
1 changed files with 15 additions and 0 deletions
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scenarios/run_scenarios.md
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@ -187,6 +187,21 @@ Options (in addition to the common options):
* `OBJ_NAME` - if specified, this name will be used for all write operations instead of random generation.
* `MAX_TOTAL_SIZE_GB` - if specified, max payload size in GB of the storage engine. If the storage engine is already full, no new objects will be saved.
## Export metrics
To export metrics to Prometheus (also Grafana and Victoria Metrics support Prometheus format), you need to run `k6` with an option `-o experimental-prometheus-rw` and
an environment variable `K6_PROMETHEUS_RW_SERVER_URL` whose value corresponds to the URL for the remote write endpoint.
To specify percentiles for trend metrics, use an environment variable `K6_PROMETHEUS_RW_TREND_STATS`.
See [k6 docs](https://k6.io/docs/results-output/real-time/prometheus-remote-write/) for a list of all possible options.
To distinct metrics from different loaders, use an option `METRIC_TAGS`. These tags does not apply to builtin `k6` metrics.
Example:
```bash
K6_PROMETHEUS_RW_SERVER_URL=http://host:8428/api/v1/write \
K6_PROMETHEUS_RW_TREND_STATS="p(95),p(99),min,max" \
./k6 run ... -o experimental-prometheus-rw -e METRIC_TAGS="instance:server1;run:run1" scenario.js
```
## Verify
This scenario allows to verify that objects created by a previous run are really stored in the system and their data is not corrupted. Running this scenario assumes that you've already run gRPC or HTTP or S3 scenario with option `REGISTRY_FILE`.