From c22b9c7d2e724ff4471f431aacbb458e43a2829b Mon Sep 17 00:00:00 2001 From: Pepe Cano <825430+ppcano@users.noreply.github.com> Date: Thu, 28 Sep 2023 11:11:45 +0200 Subject: [PATCH] Update docs for new prometheus dashboards (#1344) * WIP 1 * Complete Prometheus RW docs * Grafana Cloud Prometheus * Minor updates GC Prometheus * Update `Grafana Dashboards` page * Rewrite intro * Update src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md Co-authored-by: Heitor Tashiro Sergent * Update src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md Co-authored-by: Heitor Tashiro Sergent * Update src/data/markdown/translated-guides/en/04 Results output/300 Grafana dashboards.md Co-authored-by: Heitor Tashiro Sergent * Update src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md Co-authored-by: Heitor Tashiro Sergent * Update command examples to skip `my_` or `your_` prefixes * Replace `utilize` for `use` --------- Co-authored-by: Heitor Tashiro Sergent --- .../en/04 Results output/200 Real-time.md | 4 +- .../00 Grafana Cloud Prometheus.md | 47 +++- .../00 Prometheus remote write.md | 221 +++++++++--------- .../k6-prometheus-dashboard-part1.png | Bin 0 -> 518117 bytes .../k6-prometheus-dashboard-part2.png | Bin 0 -> 487539 bytes .../Prometheus/k6-prometheus-dashboard.png | Bin 0 -> 534117 bytes ...list-provisioned-prometheus-dashboards.png | Bin 0 -> 137738 bytes ...ry-k6-metrics-in-the-prometheus-web-ui.png | Bin 0 -> 124188 bytes .../300 Grafana dashboards.md | 24 +- 9 files changed, 170 insertions(+), 126 deletions(-) create mode 100644 src/data/markdown/translated-guides/en/04 Results output/200 Real-time/images/Prometheus/k6-prometheus-dashboard-part1.png create mode 100644 src/data/markdown/translated-guides/en/04 Results output/200 Real-time/images/Prometheus/k6-prometheus-dashboard-part2.png create mode 100644 src/data/markdown/translated-guides/en/04 Results output/200 Real-time/images/Prometheus/k6-prometheus-dashboard.png create mode 100644 src/data/markdown/translated-guides/en/04 Results output/200 Real-time/images/Prometheus/list-provisioned-prometheus-dashboards.png create mode 100644 src/data/markdown/translated-guides/en/04 Results output/200 Real-time/images/Prometheus/query-k6-metrics-in-the-prometheus-web-ui.png diff --git a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time.md b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time.md index 4f7e21bd61..f21a5ad2bd 100644 --- a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time.md +++ b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time.md @@ -40,11 +40,11 @@ You can also stream real-time metrics to the following services: - [Prometheus remote write](/results-output/real-time/prometheus-remote-write) - [TimescaleDB](/results-output/real-time/timescaledb) - [StatsD](/results-output/real-time/statsd) +- [Other alternative with a custom output extension](/extensions/get-started/create/output-extensions/) -> This list applies to local tests. To send k6 Cloud test results to an external service, refer to -[Cloud APM](/cloud/integrations/cloud-apm/). +> This list applies to local tests, not to [cloud tests](https://grafana.com/docs/grafana-cloud/k6/). ## Read more diff --git a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md index aab765a50c..7ade9c26bd 100644 --- a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md +++ b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Grafana Cloud Prometheus.md @@ -47,21 +47,48 @@ Select the **Details** of your Prometheus service. Now, pass the Username, API key, and Remote Write Endpoint of the Grafana Cloud Prometheus Configuration to the k6 binary: ```bash -K6_PROMETHEUS_RW_USERNAME=Your_Username \ -K6_PROMETHEUS_RW_PASSWORD=Your_API_KEY \ -K6_PROMETHEUS_RW_SERVER_URL=Your_REMOTE_WRITE_ENDPOINT \ +K6_PROMETHEUS_RW_USERNAME=USERNAME \ +K6_PROMETHEUS_RW_PASSWORD=API_KEY \ +K6_PROMETHEUS_RW_SERVER_URL=REMOTE_WRITE_ENDPOINT \ k6 run -o experimental-prometheus-rw script.js ``` -## Explore k6 metrics +## Visualize test results -To explore k6 metrics in Grafana Cloud: -1. Click on the Explore icon on the menu bar. -1. Choose the Prometheus data source from the dropdown in the top left. -1. In the query field, query k6 metrics to explore your testing results. +To visualize test results with Grafana, you can import the [k6 Prometheus dashboard by Grafana k6](https://grafana.com/grafana/dashboards/19665-k6-prometheus/). + +On the Dashboards UI: + +- Click `New` and select `Import`. +- Paste the Grafana URL or ID of the dashboard, and click `Load`. +- Select the Prometheus data source, and click `Import`. + +![k6 Prometheus Dashboard](./images/Prometheus/k6-prometheus-dashboard-part1.png) + +Optionally, when running the test, you can set the `testid` tag as a [wide test tag](https://k6.io/docs/using-k6/tags-and-groups/#test-wide-tags) to filter results of a particular test run on this dashboard (or in PromQL queries). `testid` can be any unique string that allows you to identify the test run. + + + +```bash +K6_PROMETHEUS_RW_USERNAME=USERNAME \ +K6_PROMETHEUS_RW_PASSWORD=API_KEY \ +K6_PROMETHEUS_RW_SERVER_URL=REMOTE_WRITE_ENDPOINT \ +k6 run -o experimental-prometheus-rw --tag testid=TEST_ID script.js +``` + + + +Additionally, you can also use the [Explore UI](https://grafana.com/docs/grafana/latest/explore/) to query k6 time series, design your visualization panels, and add them to any of your existing dashboards. ![Explore k6 metrics in Grafana Cloud](./images/GrafanaCloud/grafana_cloud_explore_k6_metrics_from_extension.png) -## Read more +All the k6 time series have a **k6_** prefix. +For more details, refer to the documentation on the [mapping of k6 metrics with Prometheus metrics](/results-output/real-time/prometheus-remote-write/#metrics-mapping). + +It's also important to understand the default [Trend metric conversion](/results-output/real-time/prometheus-remote-write/#trend-metric-conversions) process and the format and querying limitations. The [`K6_PROMETHEUS_RW_TREND_STATS` option](/results-output/real-time/prometheus-remote-write/#options) allows you to convert trend metrics to multiple Prometheus time series. For instance, `K6_PROMETHEUS_RW_TREND_STATS=p(95),p(99),max,min` transforms each k6 trend metric into four Prometheus metrics as follows: + +- `k6_*_p95` +- `k6_*_p99` +- `k6_*_max` +- `k6_*_min` -- [K6 makes performance testing easy with Prometheus and Grafana in Docker](https://medium.com/@rody.bothe/turning-data-into-understandable-insights-with-k6-load-testing-fa24e326e221) diff --git a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Prometheus remote write.md b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Prometheus remote write.md index a00457dbf7..434d93167e 100644 --- a/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Prometheus remote write.md +++ b/src/data/markdown/translated-guides/en/04 Results output/200 Real-time/00 Prometheus remote write.md @@ -5,27 +5,24 @@ excerpt: 'Use the Prometheus remote write output to send test results to any Pro -
+[Prometheus remote write](https://prometheus.io/docs/concepts/remote_write_spec/) is a protocol that makes it possible to reliably propagate data in real-time from a sender to a receiver. +It has multiple compatible [implementations](https://prometheus.io/docs/concepts/remote_write_spec/#compatible-senders-and-receivers) and [storage integrations](https://prometheus.io/docs/prometheus/latest/storage/#remote-storage-integrations). -If you want to export cloud results to remote write, -refer to [Cloud to Prometheus RW](/cloud/integrations/prometheus-remote-write/). +For instance, when using the `experimental-prometheus-rw` output, k6 can send test-result metrics to the remote-write endpoint and store them in Prometheus. -
- -Prometheus remote write is a protocol that makes it possible to reliably propagate data in real-time from a sender to a receiver. -It has a defined [specification](https://docs.google.com/document/d/1LPhVRSFkGNSuU1fBd81ulhsCPR4hkSZyyBj1SZ8fWOM/edit) -and multiple implementations. -For example, you can store the metrics in [Prometheus](https://prometheus.io/docs/prometheus/latest/feature_flags/#remote-write-receiver). -For other implementations, check the [Prometheus Integrations](https://prometheus.io/docs/operating/integrations) guide. - -With the Prometheus remote write output, k6 can send test-result metrics to a Prometheus remote write endpoint. -The output during the `k6 run` execution gets all the generated data points for the [built-in and custom metrics](/using-k6/metrics/). -It then generates the equivalent Prometheus remote write time series. +The output, during the `k6 run` execution, gets all the generated time-series data points for the [k6 metrics](/using-k6/metrics/). +It then generates the equivalent Prometheus time series and sends them to the Prometheus remote write endpoint. ## Metrics mapping -All k6 metric types are converted into an equivalent Prometheus remote write type: +All [k6 metric types](/using-k6/metrics/) are converted into an equivalent [Prometheus metric type](https://prometheus.io/docs/concepts/metric_types/). +The output maps the metrics into time series with Name labels. +As much as possible, k6 respects the [naming best practices](https://prometheus.io/docs/practices/naming) that the Prometheus project defines: + +* All time series are prefixed with the `k6_` namespace. +* All time series are suffixed with the base unit of the sample value (if k6 knows what the base unit is). +* Trends and rates have the relative suffixes, to make them more discoverable. | k6 | Prometheus | Name label | |---------|---------------------------|----------------------| @@ -34,16 +31,9 @@ All k6 metric types are converted into an equivalent Prometheus remote write typ | Rate | Gauge | `k6_*_rate` | | Trend | [Counter and Gauges (default)](#counter-and-gauges) or [Native Histogram](#prometheus-native-histogram) | `k6_*_` | -The output maps the metrics into time series with Name labels. -As much as possible, k6 respects the [naming best practices](https://prometheus.io/docs/practices/naming) that the Prometheus project defines: - -* All time series are prefixed with the `k6_` namespace. -* All time series are suffixed with the base unit of the sample value (if k6 knows what the base unit is). -* Trends and rates have the relative suffixes, to make them more discoverable. - ## Trend metric conversions -This output provides two distinct mechanisms to send [Trend metrics](/using-k6/metrics/) to Prometheus: +This output provides two distinct mechanisms to send [k6 Trend metrics](/using-k6/metrics/) to Prometheus: 1. [Counter and Gauge metrics](#counter-and-gauges) (default) 2. [Prometheus Native histogram](#prometheus-native-histogram) @@ -55,11 +45,11 @@ Note that k6 aggregates trend metric data before sending it to Prometheus in bot - Prometheus stores data in a millisecond precision (`ms`), but k6 metrics collect data points with higher accuracy, nanosecond (`ns`). - A load test could generate vast amounts of data points. High-precision raw data could quickly become expensive and complex to scale and is unnecessary when analyzing performance trends. -### Counter and Gauges +### 1. Counter and gauges By default, Prometheus supports [Counter and Gauge Metric types](https://prometheus.io/docs/concepts/metric_types/). Therefore, this option is the default of this output and converts all the k6 `Trend` metrics to Counter and Gauges Prometheus metrics. -You can configure how to convert all the k6 trend metrics with the [`K6_PROMETHEUS_RW_TREND_STATS` option](#options) that accepts a comma-separated list of stats functions: `count`, `sum`, `min`, `max`, `avg`, `med`, `p(x)`. +You can configure how to convert all the k6 trend metrics with the [`K6_PROMETHEUS_RW_TREND_STATS` option](#options) that accepts a comma-separated list of stats functions: `count`, `sum`, `min`, `max`, `avg`, `med`, `p(x)`. The default is `p(99)`. Given the list of stats functions, k6 converts all trend metrics to the respective math functions as Prometheus metrics. @@ -76,80 +66,90 @@ This option provides a configurable solution to represent `Trend` metrics in Pro - It is impossible to aggregate some gauge values (especially percentiles). - It uses a memory-expensive k6 data structure. -### Prometheus Native histogram +### 2. Prometheus native histogram -To resolve the previous drawbacks, you can convert k6 trend metrics to high-fidelity histograms using [Prometheus Native Histogram](https://prometheus.io/docs/concepts/metric_types/#histogram). Each k6 trend metric maps to its respective Prometheus histogram metric: `k6_*`. - - -
+To address the limitations of the previous option, you can convert k6 trend metrics to high-fidelity histograms enabling [Prometheus native histograms](https://prometheus.io/docs/concepts/metric_types/#histogram). -To learn the benefits and outcomes of using Histograms, watch [High-resolution Histograms in the Prometheus TSDB](https://www.youtube.com/watch?v=F72Tk8iaWeA). +With this option, each k6 trend metric maps to its corresponding Prometheus histogram metric: `k6_*`. You can then query them using Prometheus histogram functions, such as [histogram_quantile()](https://prometheus.io/docs/prometheus/latest/querying/functions/#histogram_quantile). -
-Note that Native Histogram is an experimental feature released in Prometheus v2.40.0, and other remote write implementations might not support it yet. In the future, when Prometheus makes this feature stable, k6 will consider using it as the default conversion method for Trend metrics. +
-The additional settings to use Native Histogram types are: +🌟 To learn the benefits and outcomes of using Histograms, watch [High-resolution Histograms in Prometheus](https://www.youtube.com/watch?v=F72Tk8iaWeA). -1. Enable the feature flag [--enable-feature=native-histograms](https://prometheus.io/docs/prometheus/latest/feature_flags/#native-histograms) in Prometheus. -2. Run the k6 test enabling the `K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true` environment variable. +⚠️ Note that Native Histogram is an experimental feature released in Prometheus v2.40.0, and other remote write implementations might not support it yet. In the future, when Prometheus makes this feature stable, k6 will consider using it as the default conversion method for Trend metrics. +
## Send test metrics to a remote write endpoint -To use remote write in Prometheus 2.x: +To use remote write in Prometheus 2.x, enable the feature flag [--web.enable-remote-write-receiver](https://prometheus.io/docs/prometheus/latest/feature_flags/#remote-write-receiver). For remote write storage options, refer to the [Prometheus docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write). -- Enable the feature flag [--web.enable-remote-write-receiver](https://prometheus.io/docs/prometheus/latest/feature_flags/#remote-write-receiver). For remote write storage options, refer to the [Prometheus docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write). +1. To send k6 metrics to a **remote write endpoint without native histograms**: + - Set up a running remote write endpoint and ensure k6 can reach it. -- Optionally, enable the feature flag [--enable-feature=native-histograms](https://prometheus.io/docs/prometheus/latest/feature_flags/#native-histograms) in Prometheus 2.40.0 or higher to use [Prometheus Native Histogram](#prometheus-native-histogram). + - Run your k6 script with the `--out` flag and the URL of the RW endpoint as follows: + -To send k6 metrics to a remote write endpoint: -1. Set up a running remote write endpoint with an endpoint that k6 can reach. -2. Run your k6 script, using the `--out` flag with `experimental-prometheus-rw` as the argument: + ```bash + K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write \ + k6 run -o experimental-prometheus-rw script.js + ``` - + ```bash + K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write \ + K6_PROMETHEUS_RW_USERNAME=USERNAME \ + K6_PROMETHEUS_RW_PASSWORD=PASSWORD \ + k6 run -o experimental-prometheus-rw script.js + ``` - ```bash - k6 run -o experimental-prometheus-rw script.js - ``` + - ```bash - K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true k6 run -o experimental-prometheus-rw script.js - ``` + - Optionally, pass the `K6_PROMETHEUS_RW_TREND_STATS` to gain the ability to query additional stats for trend metrics. The default is `p(99)`. - + - If the remote write endpoint requires authentication, the output supports the HTTP Basic authentication and it can be used with the following command: + ```bash + K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write \ + K6_PROMETHEUS_RW_TREND_STATS=p(95),p(99),min,max \ + k6 run -o experimental-prometheus-rw script.js + ``` - + + +2. To send k6 metrics to a **remote write endpoint with native histograms**: + - Enable the feature flag [--enable-feature=native-histograms](https://prometheus.io/docs/prometheus/latest/feature_flags/#native-histograms) in Prometheus 2.40.0 or higher. Set up a running remote write endpoint and ensure k6 can reach it. - ```bash - K6_PROMETHEUS_RW_USERNAME=foo \ - K6_PROMETHEUS_RW_PASSWORD=bar \ - ./k6 run script.js -o experimental-prometheus-rw - ``` + - Run your k6 script with the `--out` flag, enabling the `K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM` option, and the URL of the RW endpoint as follows: - ```bash - K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ - K6_PROMETHEUS_RW_USERNAME=foo \ - K6_PROMETHEUS_RW_PASSWORD=bar \ - ./k6 run script.js -o experimental-prometheus-rw - ``` + - + ```bash + K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write \ + K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ + k6 run -o experimental-prometheus-rw script.js + ``` + + ```bash + K6_PROMETHEUS_RW_SERVER_URL=http://localhost:9090/api/v1/write \ + K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ + K6_PROMETHEUS_RW_USERNAME=USERNAME \ + K6_PROMETHEUS_RW_PASSWORD=PASSWORD \ + k6 run -o experimental-prometheus-rw script.js + ``` - - All the time series have a [`k6_` prefix](#metrics-mapping). - In the Metric Explorer UI in Grafana, it looks something like this: + - ![k6 metrics as seen in the Prometheus UI](images/Prometheus/prom-metric-explorer.png) +When running the previous `k6 run` commands, k6 starts sending time-series metrics to Prometheus. +All the time series have a [`k6_` prefix](#metrics-mapping). +In the Prometheus Web UI, they appear like this: +![k6 metrics as seen in the Prometheus UI](images/Prometheus/query-k6-metrics-in-the-prometheus-web-ui.png) -The [`xk6-output-prometheus-remote` extension](https://github.com/grafana/xk6-output-prometheus-remote) repository has some docker compose examples. Feel free to request more authentication methods or provide your experience in the [issue tracker](https://github.com/grafana/xk6-output-prometheus-remote/issues). ## Options @@ -178,64 +178,75 @@ For details about staleness, refer to the [Prometheus docs](https://prometheus.i ## Time series visualization -To visualize time series, you can use Grafana via explorer, importing the pre-built [official dashboard](https://grafana.com/grafana/dashboards/18030-official-k6-test-result/) or create a custom version. You can visualize them from [Grafana Cloud](/results-output/real-time/grafana-cloud-prometheus) integration or in a self-hosted instance. +To visualize time series with Grafana, you can use the [Explore UI](https://grafana.com/docs/grafana/latest/explore/) or import any of the existing pre-built dashboards: +- [k6 Prometheus dashboard by Grafana k6](https://grafana.com/grafana/dashboards/19665-k6-prometheus/) +- [k6 Prometheus (Native Histograms) dashboard by Grafana k6](https://grafana.com/grafana/dashboards/18030-k6-prometheus-native-histograms/) +- [Other public dashboards available from the community](https://grafana.com/grafana/dashboards/?search=k6&dataSource=prometheus) -If you want a local option, the [xk6 extension](https://github.com/grafana/xk6-output-prometheus-remote) repository includes a [docker-compose setup](https://github.com/grafana/xk6-output-prometheus-remote/blob/main/docker-compose.yml) with two pre-built Grafana dashboards. -You can use these dashboards to visualize the generated time series with Prometheus configured as a data source: -- visualize the results of a test run -- list test runs +If you are a Grafana Cloud user, please refer to the [Grafana Cloud Prometheus docs](/results-output/real-time/grafana-cloud-prometheus). -![Prometheus k6 results dashboard](./images/Prometheus/prom-dashboard-test-result.png) +For a local environment, the [`xk6-output-prometheus-remote` repository](https://github.com/grafana/xk6-output-prometheus-remote) includes a docker-compose setup that provisions the `k6 Prometheus` and `k6 Prometheus (Native Histograms)` dashboards: + +![Provisioned k6 Prometheus Dashboards](./images/Prometheus/list-provisioned-prometheus-dashboards.png) ### Docker compose example Clone the repository to get started and follow these steps for using the [docker-compose.yml](https://github.com/grafana/xk6-output-prometheus-remote/blob/main/docker-compose.yml) file that starts _Prometheus_ and _Grafana_: -
+1. Start the docker compose environment. -The `docker-compose.yml` file has the Native Histogram mapping set as enabled. + -
+ ```shell + docker compose up -d prometheus grafana + ``` -1. Start the docker compose environment. + - + -```shell -docker compose up -d prometheus grafana -``` + ```shell + # Output + Creating xk6-output-prometheus-remote_grafana_1 ... done + Creating xk6-output-prometheus-remote_prometheus_1 ... done + ``` + + - + Prometheus is started with Native Histogram enabled. You can use the same Prometheus instance to receive k6 trend metrics as native histograms or multiple metric stats. - +2. Run the k6 test with one of the options detailed on [Send test metrics to a remote write endpoint](#send-test-metrics-to-a-remote-write-endpoint). -```shell -# Output -Creating xk6-output-prometheus-remote_grafana_1 ... done -Creating xk6-output-prometheus-remote_prometheus_1 ... done -``` + - + ```bash + K6_PROMETHEUS_RW_TREND_STATS=p(95),p(99),min,max \ + k6 run -o experimental-prometheus-rw script.js + ``` -2. Use the k6 Docker image to run the k6 script and send metrics to the Prometheus container started on the previous step. You must set the `testid` tag as a [wide test tag](https://k6.io/docs/using-k6/tags-and-groups/#test-wide-tags) with a unique identifier to segment the metrics into discrete test runs for the pre-built Grafana dashboards. + ```bash + K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ + k6 run -o experimental-prometheus-rw script.js + ``` - + -```shell -K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ - k6 run -o experimental-prometheus-rw --tag testid= ./samples/http_get.js -``` + Optionally, you can set the `testid` tag as a [wide test tag](https://k6.io/docs/using-k6/tags-and-groups/#test-wide-tags) to segment metrics into discrete test runs and filter specific test results on the pre-built Grafana dashboards or in PromQL queries. `testid` can be any unique string that let you clearly identify the test run. - + -`testid` can be any unique string that let you clearly identify the test. For convenience, a [docker-run.sh](https://github.com/grafana/xk6-output-prometheus-remote/blob/main/docker-run.sh) file is available with a time-based `testid`, and it can be simply: + ```bash + K6_PROMETHEUS_RW_TREND_STATS=p(95),p(99),min,max \ + k6 run -o experimental-prometheus-rw --tag testid= script.js + ``` - + ```bash + K6_PROMETHEUS_RW_TREND_AS_NATIVE_HISTOGRAM=true \ + k6 run -o experimental-prometheus-rw --tag testid= script.js + ``` -```shell -docker-run.sh ./samples/http_get.js -``` + - +3. After running the test, visit [http://localhost:3000](http://localhost:3000). If you enabled native histograms, select the **k6 Prometheus (Native Histograms)** dashboard; otherwise, select the **k6 Prometheus** Dashboard. -3. 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452defbfbb..39e0b7240b 100644 --- a/src/data/markdown/translated-guides/en/04 Results output/300 Grafana dashboards.md +++ b/src/data/markdown/translated-guides/en/04 Results output/300 Grafana dashboards.md @@ -12,15 +12,21 @@ Having test results in a dashboard brings various benefits: ## Options -With [Grafana](https://grafana.com/grafana/), you can create a custom dashboard to query and **visualize data from multiple sources and any type of backend**. With k6, you can stream your test results to any backend using a [custom output extension](/extensions/get-started/create/output-extensions/) or an existing [real-time output](/results-output/real-time/#service). +With [Grafana](https://grafana.com/grafana/), you can create a custom dashboard to query and **visualize data from multiple sources and any type of backend**. +Using k6, you can [stream your local test results to any backend](/results-output/real-time). + +The flexibility and interoperability of Grafana and k6 let you visualize test and observability data in one dashboard, regardless of where the data is stored. +The following outputs include pre-built Grafana dashboards for their storage: + +| Output | Grafana Dashboard | +|---|---| +| [AWSTimestream](https://github.com/leonyork/xk6-output-timestream) | [leonyork/xk6-output-timestream](https://github.com/leonyork/xk6-output-timestream/tree/main/grafana/dashboards/) | +| [InfluxDB](/results-output/real-time/influxdb) | [grafana/xk6-output-influxdb](https://github.com/grafana/xk6-output-influxdb/tree/main/grafana/dashboards) | +| [Prometheus remote write](/results-output/real-time/prometheus-remote-write) | [k6 Prometheus](https://grafana.com/grafana/dashboards/19665-k6-prometheus/) | +| [Prometheus remote write (Native Histograms)](/results-output/real-time/prometheus-remote-write) | [k6 Prometheus (Native Histograms)](https://grafana.com/grafana/dashboards/18030-k6-prometheus-native-histograms/) | +| [Grafana Cloud Prometheus](/results-output/real-time/grafana-cloud-prometheus/) | [k6 Prometheus](https://grafana.com/grafana/dashboards/19665-k6-prometheus/) | +| [TimescaleDB](/results-output/real-time/timescaledb/) | [grafana/xk6-output-timescaledb](https://github.com/grafana/xk6-output-timescaledb/tree/main/grafana/dashboards) | +| ---- | [More public dashboards from the community](https://grafana.com/grafana/dashboards/?search=k6) | -The flexibility and interoperability of Grafana and k6 let you join test and observability data in one dashboard, independently of where the data is stored. - -For inspiration about how to build a custom dashboard that visualizes k6 results, browse the list of [community-built k6 dashboards](https://grafana.com/grafana/dashboards/?search=k6). The following outputs include pre-built Grafana dashboards for their storage: - -- [AWSTimestream](https://github.com/leonyork/xk6-output-timestream) -- [InfluxDB](/results-output/real-time/influxdb) -- [Prometheus remote write](/results-output/real-time/prometheus-remote-write) -- [TimescaleDB](/results-output/real-time/timescaledb/) For a fully managed solution, [Grafana Cloud k6](https://grafana.com/products/cloud/k6/) is our commercial product to store, view, scale, and manage your tests with ease. It provides custom views to access your testing and analyze test results, enhanced collaboration features, and many more additional capabilities. \ No newline at end of file