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[v11.4] Remove relref shortcodes (#101716)

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* manually replce all shared relrefs

* relref replace - previous grafana versions

* Merge branch 'master' into robbymilo/relref-replace-grafana-previous

* update test

* prettier
This commit is contained in:
Robby Milo
2025-03-07 11:37:37 +02:00
committed by GitHub
parent 019184b710
commit 2b9a49a63e
176 changed files with 1419 additions and 1422 deletions
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docs/sources/getting-started/_index.md
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Grafana helps you collect, correlate, and visualize data with beautiful dashboards — the open source data visualization and monitoring solution that drives informed decisions, enhances system performance, and streamlines troubleshooting.
This section provides guidance to our open source community about how to build your first dashboard after you have installed Grafana. It also provides step-by-step instructions on how to add a Prometheus, InfluxDB, or an MS SQL Server data source. If you are connecting a different data source, please refer to our complete list of supported [Data sources]({{< relref "../datasources" >}}). If you would like to learn how to get started with Grafana Cloud, our fully managed observability stack, visit the [Grafana Cloud documentation](https://grafana.com/docs/grafana-cloud/quickstart/) for more information.
This section provides guidance to our open source community about how to build your first dashboard after you have installed Grafana. It also provides step-by-step instructions on how to add a Prometheus, InfluxDB, or an MS SQL Server data source. If you are connecting a different data source, please refer to our complete list of supported [Data sources](../datasources/). If you would like to learn how to get started with Grafana Cloud, our fully managed observability stack, visit the [Grafana Cloud documentation](https://grafana.com/docs/grafana-cloud/quickstart/) for more information.
{{< section >}}
docs/sources/getting-started/get-started-grafana-influxdb.md
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You can have more than one InfluxDB data source defined in Grafana.
1. Follow the general instructions to [add a data source]({{< relref "../datasources#add-a-data-source" >}}).
1. Follow the general instructions to [add a data source](../../datasources/#add-a-data-source).
1. Decide if you will use InfluxQL or Flux as your query language.
- [Configure the data source]({{< relref "../datasources/influxdb#configure-the-data-source" >}}) for your chosen query language.
- [Configure the data source](../../datasources/influxdb/#configure-the-data-source) for your chosen query language.
Each query language has its own unique data source settings.
- For querying features specific to each language, see the data source's [query editor documentation]({{< relref "../datasources/influxdb/query-editor" >}}).
- For querying features specific to each language, see the data source's [query editor documentation](../../datasources/influxdb/query-editor/).
##### InfluxDB guides
@@ -75,8 +75,8 @@ Grafana displays a list of possible series. Click one to select it, and Grafana
Create a simple Flux query.
1. [Add a panel]({{< relref "../dashboards/build-dashboards/create-dashboard" >}}).
1. In the query editor, select your InfluxDB-Flux data source. For more information, refer to [Queries]({{< relref "../panels-visualizations/query-transform-data" >}}).
1. [Add a panel](../../dashboards/build-dashboards/create-dashboard/).
1. In the query editor, select your InfluxDB-Flux data source. For more information, refer to [Queries](../../panels-visualizations/query-transform-data/).
1. Select the **Table** visualization.
1. In the query editor text field, enter `buckets()` and then click outside of the query editor.
@@ -96,12 +96,12 @@ You can also create Flux queries in the InfluxDB Explore view.
![InfluxDB Explore Script Editor](/static/img/docs/influxdb/explore-query-text-7-5.png)
1. In Grafana, [add a panel]({{< relref "../dashboards/build-dashboards/create-dashboard" >}}) and then paste your Flux code into the query editor.
1. In Grafana, [add a panel](../../dashboards/build-dashboards/create-dashboard/) and then paste your Flux code into the query editor.
1. Click **Apply**. Your new panel should be visible with data from your Flux query.
#### Check InfluxDB metrics in Grafana Explore
In your Grafana instance, go to the [Explore]({{< relref "../explore" >}}) view and build queries to experiment with the metrics you want to monitor. Here you can also debug issues related to collecting metrics.
In your Grafana instance, go to the [Explore](../../explore/) view and build queries to experiment with the metrics you want to monitor. Here you can also debug issues related to collecting metrics.
#### Start building dashboards
@@ -109,5 +109,5 @@ There you go! Use Explore and Data Explorer to experiment with your data, and ad
Here are some resources to learn more:
- Grafana documentation: [InfluxDB data source]({{< relref "../datasources/influxdb" >}})
- Grafana documentation: [InfluxDB data source](../../datasources/influxdb/)
- InfluxDB documentation: [Comparison of Flux vs InfluxQL](https://docs.influxdata.com/influxdb/v1.8/flux/flux-vs-influxql/)
docs/sources/getting-started/get-started-grafana-ms-sql-server.md
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Now that you have gained some idea of using the pre-packaged MS SQL data source and some test data, the next step is to setup your own instance of MS SQL Server database and data your development or sandbox area.
To fetch data from your own instance of MS SQL Server, add the data source using instructions in Step 4 of this topic. In Grafana [Explore]({{< relref "../explore" >}}) build queries to experiment with the metrics you want to monitor.
To fetch data from your own instance of MS SQL Server, add the data source using instructions in Step 4 of this topic. In Grafana [Explore](../../explore/) build queries to experiment with the metrics you want to monitor.
Once you have a curated list of queries, create [dashboards]({{< relref "../dashboards" >}}) to render metrics from the SQL Server database. For troubleshooting, user permissions, known issues, and query examples, refer to [Using Microsoft SQL Server in Grafana]({{< relref "../datasources/mssql" >}}).
Once you have a curated list of queries, create [dashboards](../../dashboards/) to render metrics from the SQL Server database. For troubleshooting, user permissions, known issues, and query examples, refer to [Using Microsoft SQL Server in Grafana](../../datasources/mssql/).
docs/sources/getting-started/get-started-grafana-prometheus.md
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#### Check Prometheus metrics in Grafana Explore view
In your Grafana instance, go to the [Explore]({{< relref "../explore" >}}) view and build queries to experiment with the metrics you want to monitor. Here you can also debug issues related to collecting metrics from Prometheus.
In your Grafana instance, go to the [Explore](../../explore/) view and build queries to experiment with the metrics you want to monitor. Here you can also debug issues related to collecting metrics from Prometheus.
#### Start building dashboards
Now that you have a curated list of queries, create [dashboards]({{< relref "../dashboards" >}}) to render system metrics monitored by Prometheus. When you install Prometheus and node_exporter or windows_exporter, you will find recommended dashboards for use.
Now that you have a curated list of queries, create [dashboards](../../dashboards/) to render system metrics monitored by Prometheus. When you install Prometheus and node_exporter or windows_exporter, you will find recommended dashboards for use.
The following image shows a dashboard with three panels showing some system metrics.
@@ -126,5 +126,5 @@ The following image shows a dashboard with three panels showing some system metr
To learn more:
- Grafana documentation: [Prometheus data source]({{< relref "../datasources/prometheus" >}})
- Grafana documentation: [Prometheus data source](../../datasources/prometheus/)
- Prometheus documentation: [What is Prometheus?](https://prometheus.io/docs/introduction/overview/)