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Diffstat (limited to '')
| -rw-r--r-- | src/exporting/WALKTHROUGH.md (renamed from exporting/WALKTHROUGH.md) | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/exporting/WALKTHROUGH.md b/src/exporting/WALKTHROUGH.md index 86be758e4..450789d9d 100644 --- a/exporting/WALKTHROUGH.md +++ b/src/exporting/WALKTHROUGH.md @@ -57,13 +57,13 @@ 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](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 +link](/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. <!-- candidate for reuse --> ```sh -wget -O /tmp/netdata-kickstart.sh https://my-netdata.io/kickstart.sh && sh /tmp/netdata-kickstart.sh --dont-wait +wget -O /tmp/netdata-kickstart.sh https://get.netdata.cloud/kickstart.sh && sh /tmp/netdata-kickstart.sh --dont-wait ``` After the install completes you should be able to hit the Netdata dashboard at <http://localhost:19999/> (replace @@ -217,7 +217,7 @@ 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](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 +page](/src/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 |