PackageJson: Prettify markdown/mdx on commit with lint-staged (#37616)

* Format md,mdx files with prettier on lint-staged * Manually run prettier on docs/sources
2021-08-06 07:52:36 -06:00
parent e9c032f10f
commit b78a67cec7
301 changed files with 3216 additions and 2980 deletions
@@ -39,5 +39,3 @@ sudo yum install urw-fonts

 Check out the [FAQ section](https://community.grafana.com/c/howto/faq) on the Grafana Community page for answers to frequently
 asked questions.
-
-
@@ -6,11 +6,11 @@ weight = 200
 # Enable diagnostics

 You can set up the `grafana-server` process to enable certain diagnostics when it starts. This can be helpful
-when investigating certain performance problems. It's *not* recommended to have these enabled by default.
+when investigating certain performance problems. It's _not_ recommended to have these enabled by default.

 ## Turn on profiling

-The `grafana-server` can be started with the arguments `-profile` to enable profiling and  `-profile-port` to override
+The `grafana-server` can be started with the arguments `-profile` to enable profiling and `-profile-port` to override
 the default HTTP port (`6060`) where the `pprof` debugging endpoints are available, for example:

 ```bash
@@ -52,4 +52,4 @@ go tool trace <trace file>
 2019/11/24 22:20:42 Opening browser. Trace viewer is listening on http://127.0.0.1:39735
 ```

-See [Go command trace](https://golang.org/cmd/trace/) for more information about how to analyze trace files.
+See [Go command trace](https://golang.org/cmd/trace/) for more information about how to analyze trace files.
@@ -32,6 +32,7 @@ Some applications publish data intermittently; for example, they only post a met
 default, Grafana graphs connect lines between the data points. This can be very deceiving.

 In the picture below we have enabled:
+
 - Points and 3-point radius to highlight where data points are actually present.
 - **Null value** is set to **connected**.

@@ -24,6 +24,7 @@ For more information, refer to [Inspect a panel]({{< relref "../panels/inspect-p
 ## My query is slow

 How many data points is your query returning? A query that returns lots of data points will be slow. Try this:
+
 - In **Query options**, limit the **Max data points** returned.
 - In **Query options**, increase the **Min interval** time.
 - In your query, use a `group by` function.