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Diffstat (limited to '')
| -rw-r--r-- | backends/WALKTHROUGH.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/backends/WALKTHROUGH.md b/backends/WALKTHROUGH.md index 76dd62f83..12eea2ee1 100644 --- a/backends/WALKTHROUGH.md +++ b/backends/WALKTHROUGH.md @@ -176,14 +176,14 @@ Prometheus’s homepage and begin to type ‘netdata\_’ Prometheus should auto  -Let’s now start exploring how we can graph some metrics. Back in our NetData container lets get the CPU spinning with a +Let’s now start exploring how we can graph some metrics. Back in our Netdata container lets get the CPU spinning with a pointless busy loop. On the shell do the following: ```sh [root@netdata /]# while true; do echo "HOT HOT HOT CPU"; done ``` -Our NetData cpu graph should be showing some activity. Let’s represent this in Prometheus. In order to do this let’s +Our Netdata cpu graph should be showing some activity. Let’s represent this in Prometheus. In order to do this let’s keep our metrics page open for reference: <http://localhost:19999/api/v1/allmetrics?format=prometheus&help=yes> We are setting out to graph the data in the CPU chart so let’s search for “system.cpu”in the metrics page above. We come across a section of metrics with the first comments `# COMMENT homogeneous chart "system.cpu", context "system.cpu", family @@ -209,18 +209,18 @@ query the dimension also. Place this into our query text box.  -Awesome, this is exactly what we wanted. If you haven’t caught on yet we can emulate entire charts from NetData by using +Awesome, this is exactly what we wanted. If you haven’t caught on yet we can emulate entire charts from Netdata by using the `chart` dimension. If you’d like you can combine the ‘chart’ and ‘instance’ dimension to create per-instance charts. 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](../backends/prometheus/#using-netdata-with-prometheus). The key point here is that NetData can export metrics from +This is the basics of using Prometheus to query Netdata. I’d advise everyone at this point to read [this +page](../backends/prometheus/#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 obtain useful metrics as you are now dealing with raw counters from the system. For example you will have to use the `irate()` function over a counter to get that metric's rate per second. If your graphing needs are met by using the -metrics returned by NetData's internal database (not specifying any source= url parameter) then use that. If you find +metrics returned by Netdata's internal database (not specifying any source= url parameter) then use that. If you find limitations then consider re-writing your queries using the raw data and using Prometheus functions to get the desired chart. |