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Profiling: Add docs for Parca and Phlare (#57833)
* Add docs for Parca and Phlare * Add feature toggle note * Wording fixes * Update images and some links * Update links
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Andrej Ocenas
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docs/sources/datasources/parca.md
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docs/sources/datasources/parca.md
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---
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aliases:
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- /docs/grafana/latest/datasources/parca/
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- /docs/grafana/latest/features/datasources/parca/
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description: Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
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keywords:
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- parca
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- guide
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- profiling
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title: Parca
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weight: 1110
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---
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# Parca data source
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> **Note:** This feature is behind the `flameGraph` feature toggle.
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> You can enable feature toggles through configuration file or environment variables. See configuration [docs]({{< relref "../setup-grafana/configure-grafana/#feature_toggles" >}}) for details.
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> Grafana Cloud users can access this feature by [opening a support ticket in the Cloud Portal](https://grafana.com/profile/org#support).
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Grafana ships with built-in support for Parca, a continuous profiling OSS database for analysis of CPU and memory usage, down to the line number and throughout time. Add it as a data source, and you are ready to query your profiles in [Explore]({{< relref "../explore" >}}).
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## Configure the Parca data source
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To access Parca settings, click the **Configuration** (gear) icon, then click **Data Sources** > **Parca**.
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| Name | Description |
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| ------------ | ------------------------------------------------------------------ |
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| `Name` | A name to specify the data source in panels, queries, and Explore. |
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| `Default` | The default data source will be pre-selected for new panels. |
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| `URL` | The URL of the Tempo instance, e.g., `http://localhost:4100` |
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| `Basic Auth` | Enable basic authentication to the Tempo data source. |
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| `User` | User name for basic authentication. |
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| `Password` | Password for basic authentication. |
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## Querying
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### Query Editor
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Query editor gives you access to a profile type selector, a label selector, and collapsible options.
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Select a profile type from the drop-down menu. While the label selector can be left empty to query all profiles without filtering by labels, the profile type must be selected for the query to be valid. Grafana does not show any data if the profile type isn’t selected when a query is run.
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Use the labels selector input to filter by labels. Parca uses similar syntax to Prometheus to filter labels. Refer to [Parca documentation](https://www.parca.dev/docs) for available operators and syntax.
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Select a query type to return the profile data which can be shown in the [Flame Graph]({{< relref "../panels-visualizations/visualizations/flame-graph" >}}), metric data visualized in a graph, or both. You can only select both options in a dashboard, because panels allow only one visualization.
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### Profiles query results
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Profiles can be visualized in a flame graph. See the [Flame Graph documentation]({{< relref "../panels-visualizations/visualizations/flame-graph" >}}) to learn about the visualization and its features.
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Parca returns profiles aggregated over a selected time range, and the absolute values in the flame graph grow as the time range gets bigger while keeping the relative values meaningful. You can zoom in on the time range to get a higher granularity profile up to the point of a single Parca scrape interval.
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### Metrics query results
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Metrics results represent the aggregated value, over time, of the selected profile type. Parca returns ungrouped data with a series for each label combination.
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This allows you to quickly see any spikes in the value of the scraped profiles and zoom in to a particular time range.
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## Provision the Parca data source
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You can modify the Grafana configuration files to provision the Parca data source. To learn more, and to view the available provisioning settings, see [provisioning documentation]({{< relref "../administration/provisioning/#datasources" >}}).
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Here is an example config:
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```yaml
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apiVersion: 1
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datasources:
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- name: Parca
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type: parca
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url: http://localhost:3100
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```
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92
docs/sources/datasources/phlare.md
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docs/sources/datasources/phlare.md
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---
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aliases:
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- /docs/grafana/latest/datasources/phlare/
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- /docs/grafana/latest/features/datasources/phlare/
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description: Horizontally-scalable, highly-available, multi-tenant continuous profiling aggregation system. OSS profiling solution from Grafana Labs.
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keywords:
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- grafana
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- phlare
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- guide
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- profiling
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title: Phlare
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weight: 1150
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---
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# Phlare data source
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> **Note:** This feature is behind the `flameGraph` feature toggle.
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> You can enable feature toggles through configuration file or environment variables. See configuration [docs]({{< relref "../setup-grafana/configure-grafana/#feature_toggles" >}}) for details.
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> Grafana Cloud users can access this feature by [opening a support ticket in the Cloud Portal](https://grafana.com/profile/org#support).
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Grafana ships with built-in support for Phlare, a horizontally scalable, highly-available, multi-tenant, OSS, continuous profiling aggregation system from Grafana Labs. Add it as a data source, and you are ready to query your profiles in [Explore]({{< relref "../explore" >}}).
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## Configure the Phlare data source
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To access Phlare settings, click the **Configuration** (gear) icon, then click **Data Sources** > **Phlare**.
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `Name` | A name to specify the data source in panels, queries, and Explore. |
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| `Default` | The default data source will be pre-selected for new panels. |
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| `URL` | The URL of the Tempo instance, e.g., `http://localhost:4100` |
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| `Basic Auth` | Enable basic authentication to the Tempo data source. |
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| `User` | User name for basic authentication. |
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| `Password` | Password for basic authentication. |
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| `Minimal step` | Similar to Prometheus, Phlare scrapes profiles at certain intervals. To prevent querying at smaller interval use Minimal step same or higher than your Phlare scrape interval. |
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## Querying
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### Query Editor
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Query editor gives you access to a profile type selector, a label selector, and collapsible options.
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Select a profile type from the drop-down menu. While the label selector can be left empty to query all profiles without filtering by labels, the profile type must be selected for the query to be valid. Grafana does not show any data if the profile type isn’t selected when a query is run.
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Use the labels selector input to filter by labels. Phlare uses similar syntax to Prometheus to filter labels. Refer to [Phlare documentation](https://grafana.com/docs/phlare/latest/) for available operators and syntax.
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Options section contains a switch for Query Type and Group by.
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Select a query type to return the profile data which can be shown in the [Flame Graph]({{< relref "../panels-visualizations/visualizations/flame-graph" >}}), metric data visualized in a graph, or both. You can only select both options in a dashboard, because panels allow only one visualization.
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Group by allows you to group metric data by a specified label. Without any Group by label, metric data is aggregated over all the labels into single time series. You can use multiple labels to group by. Group by has only an effect on the metric data and does not change the profile data results.
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### Profiles query results
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Profiles can be visualized in a flame graph. See the [Flame Graph documentation]({{< relref "../panels-visualizations/visualizations/flame-graph" >}}) to learn about the visualization and its features.
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Phlare returns profiles aggregated over a selected time range, and the absolute values in the flame graph grow as the time range gets bigger while keeping the relative values meaningful. You can zoom in on the time range to get a higher granularity profile up to the point of a single Phlare scrape interval.
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### Metrics query results
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Metrics results represent the aggregated sum value over time of the selected profile type.
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This allows you to quickly see any spikes in the value of the scraped profiles and zoom in to a particular time range.
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## Provision the Phlare data source
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You can modify the Grafana configuration files to provision the Phlare data source. To learn more, and to view the available provisioning settings, see [provisioning documentation]({{< relref "../administration/provisioning/#datasources" >}}).
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Here is an example config:
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```yaml
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apiVersion: 1
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datasources:
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- name: Phlare
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type: phlare
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url: http://localhost:4100
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jsonData:
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minStep: '15s'
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```
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