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authorDaniel Baumann <daniel.baumann@progress-linux.org>2021-12-01 06:15:04 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2021-12-01 06:15:04 +0000
commite970e0b37b8bd7f246feb3f70c4136418225e434 (patch)
tree0b67c0ca45f56f2f9d9c5c2e725279ecdf52d2eb /backends
parentAdding upstream version 1.31.0. (diff)
downloadnetdata-e970e0b37b8bd7f246feb3f70c4136418225e434.tar.xz
netdata-e970e0b37b8bd7f246feb3f70c4136418225e434.zip
Adding upstream version 1.32.0.upstream/1.32.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'backends')
-rw-r--r--backends/WALKTHROUGH.md12
-rw-r--r--backends/prometheus/README.md72
2 files changed, 42 insertions, 42 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
![](https://github.com/ldelossa/NetdataTutorial/raw/master/Screen%20Shot%202017-07-28%20at%205.13.43%20PM.png)
-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.
![](https://github.com/ldelossa/NetdataTutorial/raw/master/Screen%20Shot%202017-07-28%20at%205.54.40%20PM.png)
-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.
diff --git a/backends/prometheus/README.md b/backends/prometheus/README.md
index 10275fa20..a0460d1d8 100644
--- a/backends/prometheus/README.md
+++ b/backends/prometheus/README.md
@@ -110,7 +110,7 @@ scrape_configs:
# You can use `prometheus_all_hosts` if you want Prometheus to set the `instance` to your hostname instead of IP
format: [prometheus]
#
- # sources: as-collected | raw | average | sum | volume
+ # source: as-collected | raw | average | sum | volume
# default is: average
#source: [as-collected]
#
@@ -125,46 +125,46 @@ scrape_configs:
#### Install nodes.yml
-The following is completely optional, it will enable Prometheus to generate alerts from some NetData sources. Tweak the
+The following is completely optional, it will enable Prometheus to generate alerts from some Netdata sources. Tweak the
values to your own needs. We will use the following `nodes.yml` file below. Save it at `/opt/prometheus/nodes.yml`, and
add a _- "nodes.yml"_ entry under the _rule_files:_ section in the example prometheus.yml file above.
```yaml
groups:
-- name: nodes
-
- rules:
- - alert: node_high_cpu_usage_70
- expr: avg(rate(netdata_cpu_cpu_percentage_average{dimension="idle"}[1m])) by (job) > 70
- for: 1m
- annotations:
- description: '{{ $labels.job }} on ''{{ $labels.job }}'' CPU usage is at {{ humanize $value }}%.'
- summary: CPU alert for container node '{{ $labels.job }}'
-
- - alert: node_high_memory_usage_70
- expr: 100 / sum(netdata_system_ram_MB_average) by (job)
- * sum(netdata_system_ram_MB_average{dimension=~"free|cached"}) by (job) < 30
- for: 1m
- annotations:
- description: '{{ $labels.job }} memory usage is {{ humanize $value}}%.'
- summary: Memory alert for container node '{{ $labels.job }}'
-
- - alert: node_low_root_filesystem_space_20
- expr: 100 / sum(netdata_disk_space_GB_average{family="/"}) by (job)
- * sum(netdata_disk_space_GB_average{family="/",dimension=~"avail|cached"}) by (job) < 20
- for: 1m
- annotations:
- description: '{{ $labels.job }} root filesystem space is {{ humanize $value}}%.'
- summary: Root filesystem alert for container node '{{ $labels.job }}'
-
- - alert: node_root_filesystem_fill_rate_6h
- expr: predict_linear(netdata_disk_space_GB_average{family="/",dimension=~"avail|cached"}[1h], 6 * 3600) < 0
- for: 1h
- labels:
- severity: critical
- annotations:
- description: Container node {{ $labels.job }} root filesystem is going to fill up in 6h.
- summary: Disk fill alert for Swarm node '{{ $labels.job }}'
+ - name: nodes
+
+ rules:
+ - alert: node_high_cpu_usage_70
+ expr: sum(sum_over_time(netdata_system_cpu_percentage_average{dimension=~"(user|system|softirq|irq|guest)"}[10m])) by (job) / sum(count_over_time(netdata_system_cpu_percentage_average{dimension="idle"}[10m])) by (job) > 70
+ for: 1m
+ annotations:
+ description: '{{ $labels.job }} on ''{{ $labels.job }}'' CPU usage is at {{ humanize $value }}%.'
+ summary: CPU alert for container node '{{ $labels.job }}'
+
+ - alert: node_high_memory_usage_70
+ expr: 100 / sum(netdata_system_ram_MB_average) by (job)
+ * sum(netdata_system_ram_MB_average{dimension=~"free|cached"}) by (job) < 30
+ for: 1m
+ annotations:
+ description: '{{ $labels.job }} memory usage is {{ humanize $value}}%.'
+ summary: Memory alert for container node '{{ $labels.job }}'
+
+ - alert: node_low_root_filesystem_space_20
+ expr: 100 / sum(netdata_disk_space_GB_average{family="/"}) by (job)
+ * sum(netdata_disk_space_GB_average{family="/",dimension=~"avail|cached"}) by (job) < 20
+ for: 1m
+ annotations:
+ description: '{{ $labels.job }} root filesystem space is {{ humanize $value}}%.'
+ summary: Root filesystem alert for container node '{{ $labels.job }}'
+
+ - alert: node_root_filesystem_fill_rate_6h
+ expr: predict_linear(netdata_disk_space_GB_average{family="/",dimension=~"avail|cached"}[1h], 6 * 3600) < 0
+ for: 1h
+ labels:
+ severity: critical
+ annotations:
+ description: Container node {{ $labels.job }} root filesystem is going to fill up in 6h.
+ summary: Disk fill alert for Swarm node '{{ $labels.job }}'
```
#### Install prometheus.service