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authorTasos Katsoulas <12612986+tkatsoulas@users.noreply.github.com>2023-02-02 15:23:54 +0200
committerGitHub <noreply@github.com>2023-02-02 15:23:54 +0200
commit9f1403de7d3ea2633768d34095afcf880c7c4e2d (patch)
tree0c50a1f42b3e182f6cd5de4e92c609cc76fd3cb5 /exporting/WALKTHROUGH.md
parentcaf18920aac38eed782647957e82c0ab7f64ec17 (diff)
Covert our documentation links to GH absolute links (#14344)
Signed-off-by: Tasos Katsoulas <tasos@netdata.cloud>
Diffstat (limited to 'exporting/WALKTHROUGH.md')
-rw-r--r--exporting/WALKTHROUGH.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/exporting/WALKTHROUGH.md b/exporting/WALKTHROUGH.md
index 52cbb8ec4c..5afd260452 100644
--- a/exporting/WALKTHROUGH.md
+++ b/exporting/WALKTHROUGH.md
@@ -67,7 +67,7 @@ command to run (`/bin/bash`) and then chooses the base container images (`centos
be sitting inside the shell of the container.
After we have entered the shell we can install Netdata. This process could not be easier. If you take a look at [this
-link](/packaging/installer/README.md), the Netdata devs give us several one-liners to install Netdata. I have not had
+link](https://github.com/netdata/netdata/blob/master/packaging/installer/README.md), the Netdata devs give us several one-liners to install Netdata. I have not had
any issues with these one liners and their bootstrapping scripts so far (If you guys run into anything do share). Run
the following command in your container.
@@ -226,7 +226,7 @@ the `chart` dimension. If you'd like you can combine the `chart` and `instance`
Let's give this a try: `netdata_system_cpu_percentage_average{chart="system.cpu", instance="netdata:19999"}`
This is the basics of using Prometheus to query Netdata. I'd advise everyone at this point to read [this
-page](/exporting/prometheus/README.md#using-netdata-with-prometheus). The key point here is that Netdata can export metrics from
+page](https://github.com/netdata/netdata/blob/master/exporting/prometheus/README.md#using-netdata-with-prometheus). The key point here is that Netdata can export metrics from
its internal DB or can send metrics _as-collected_ by specifying the `source=as-collected` URL parameter like so.
<http://localhost:19999/api/v1/allmetrics?format=prometheus&help=yes&types=yes&source=as-collected> If you choose to use
this method you will need to use Prometheus's set of functions here: <https://prometheus.io/docs/querying/functions/> to