Awesome
xk6-client-prometheus-remote
This extension adds Prometheus Remote Write testing capabilities to k6. You can test any service that accepts data via Prometheus remote_write API such as Cortex, Thanos, Prometheus itself and other services listed here.
It is implemented using the xk6 system.
:warning: Not to be confused with Prometheus remote write output extension which is publishing test-run metrics to Prometheus.
Getting started
To start using k6 with the extension you can:
- Download and run the binaries that we build on each release.
- Pull and run the Docker images that we build on each release.
- Build your own binary from the source.
If you wanna go with the last option, first, ensure you have the prerequisites:
- Go toolchain
- Git
Then:
- Install
xk6
:
$ go install go.k6.io/xk6/cmd/xk6@latest
- Build the binary:
$ xk6 build --with github.com/grafana/xk6-client-prometheus-remote@latest
Basic Example
import { check, sleep } from 'k6';
import remote from 'k6/x/remotewrite';
export let options = {
vus: 10,
duration: '10s',
};
const client = new remote.Client({
url: "<your-remote-write-url>"
});
export default function () {
let res = client.store([{
"labels": [
{ "name": "__name__", "value": `my_cool_metric_${__VU}` },
{ "name": "service", "value": "bar" }
],
"samples": [
{ "value": Math.random() * 100, }
]
}]);
check(res, {
'is status 200': (r) => r.status === 200,
});
sleep(1)
}
Result output:
$ ./k6 run examples/basic.js
/\ |‾‾| /‾‾/ /‾‾/
/\ / \ | |/ / / /
/ \/ \ | ( / ‾‾\
/ \ | |\ \ | (‾) |
/ __________ \ |__| \__\ \_____/ .io
execution: local
script: examples/basic.js
output: -
scenarios: (100.00%) 1 scenario, 10 max VUs, 40s max duration (incl. graceful stop):
* default: 10 looping VUs for 10s (gracefulStop: 30s)
running (10.4s), 00/10 VUs, 90 complete and 0 interrupted iterations
default ✓ [======================================] 10 VUs 10s
✓ is status 200
checks.....................: 100.00% ✓ 90 ✗ 0
data_received..............: 46 kB 4.4 kB/s
data_sent..................: 24 kB 2.3 kB/s
http_req_blocked...........: avg=7.52ms min=290ns med=380ns max=68.08ms p(90)=67.2ms p(95)=67.7ms
http_req_connecting........: avg=1.88ms min=0s med=0s max=18.27ms p(90)=15.25ms p(95)=17.11ms
http_req_duration..........: avg=136.88ms min=131.24ms med=135.66ms max=215.49ms p(90)=139.2ms p(95)=140.72ms
http_req_receiving.........: avg=42.9µs min=22µs med=40.65µs max=86.74µs p(90)=57.7µs p(95)=64.26µs
http_req_sending...........: avg=68.74µs min=38.42µs med=61.17µs max=144.06µs p(90)=102.71µs p(95)=113.75µs
http_req_tls_handshaking...: avg=3.8ms min=0s med=0s max=35.93ms p(90)=32.92ms p(95)=34.2ms
http_req_waiting...........: avg=136.76ms min=131.07ms med=135.56ms max=215.35ms p(90)=139.09ms p(95)=140.63ms
http_reqs..................: 90 8.650581/s
iteration_duration.........: avg=1.14s min=1.13s med=1.13s max=1.28s p(90)=1.2s p(95)=1.2s
iterations.................: 90 8.650581/s
vus........................: 10 min=10 max=10
vus_max....................: 10 min=10 max=10
Inspect examples folder for more details.
More advanced use case
The above example shows how you can generate samples in JS and pass them into the extension, the extension will then submit them to the remote_write API endpoint. When you want to produce samples at a very high rate the overhead which is involved when passing objects from the JS runtime to the extension can get expensive though, to optimize this the extension also offers the option for the user to pass it a template based on which samples should be generated and then sent, by generating the samples inside the extension the overhead of passing objects from the JS runtime to the extension can be avoided.
const template = {
__name__: 'k6_generated_metric_${series_id/4}', // Name of the series.
series_id: '${series_id}', // Each value of this label will match 1 series.
cardinality_1e1: '${series_id/10}', // Each value of this label will match 10 series.
cardinality_2: '${series_id%2}', // Each value of this label will match 2 series.
};
write_client.storeFromTemplates(
100, // minimum random value
200, // maximum random value
1643235433 * 1000, // timestamp in ms
42, // series id range start
45, // series id range end
template,
);
The above code could generate and send the following 3 samples, values are randomly chosen from the defined range:
Metric: k6_generated_metric_10{cardinality_1e1="4", cardinality_2="0", series_id="42"},
Timestamp: 16432354331000
Value: 193
---
Metric: k6_generated_metric_10{cardinality_1e1="4", cardinality_2="1", series_id="43"},
Timestamp: 16432354331000
Value: 121
---
Metric: k6_generated_metric_11{cardinality_1e1="4", cardinality_2="0", series_id="44"},
Timestamp: 16432354331000
Value: 142