From 837491b0cba68e4e8963b0600df387d2a636b084 Mon Sep 17 00:00:00 2001 From: Robby Milo Date: Fri, 21 Feb 2025 14:57:12 +0100 Subject: [PATCH] Fix broken link(s) (#101142) fix broken WSL link --- .../getting-started/get-started-grafana-ms-sql-server.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sources/getting-started/get-started-grafana-ms-sql-server.md b/docs/sources/getting-started/get-started-grafana-ms-sql-server.md index 2ca4dcac2b4fe..4518d2adfc332 100644 --- a/docs/sources/getting-started/get-started-grafana-ms-sql-server.md +++ b/docs/sources/getting-started/get-started-grafana-ms-sql-server.md @@ -24,7 +24,7 @@ MS SQL Server can be installed on Windows or Linux operating systems and also on You can install MS SQL Server on the host running Grafana or on a remote server. To install the software from the [downloads page](https://www.microsoft.com/en-us/sql-server/sql-server-downloads), follow their setup prompts. -If you are on a Windows host but want to use Grafana and MS SQL data source on a Linux environment, refer to the [WSL to set up your Grafana development environment](/blog/2021/03/03/.how-to-set-up-a-grafana-development-environment-on-a-windows-pc-using-wsl). This will allow you to leverage the resources available in [grafana/grafana](https://github.com/grafana/grafana) GitHub repository. Here you will find a collection of supported data sources, including MS SQL Server, along with test data and pre-configured dashboards for use. +If you are on a Windows host but want to use Grafana and MS SQL data source on a Linux environment, refer to the [WSL to set up your Grafana development environment](/blog/2021/03/03/how-to-set-up-a-grafana-development-environment-on-a-windows-pc-using-wsl) blog post. This will allow you to leverage the resources available in [grafana/grafana](https://github.com/grafana/grafana) GitHub repository. Here you will find a collection of supported data sources, including MS SQL Server, along with test data and pre-configured dashboards for use. #### Add the MS SQL data source