I'm using prometheus as a data source and in grafana i want to make CPU utlization graph with accurate values and less interval
I guess this is what you are looking for: https://github.com/prometheus-community/windows_exporter
since you are using Prometheus you can use "node_exporter" , https://www.robustperception.io/understanding-machine-cpu-usage
Related
my goal is to observe metrics (like CPU, Memory usage etc.) with Prometheus on a server and on its running docker containers. Before sending an alarm, I would like to compare the certain values of those metrics with e.g. an 0.95 quantile. However, over several weeks of search in the internet I still struggle to create metrics for the certain quantiles. Therefore I ask in this thread for your help/advice, how a quantile for certain metrics can be created.
Background
The code base is a fork of the docprom repository. This code relies on Prometheus for monitoring. Prometheus retrieves its data from a running cAdvisor container. The provided metrics of cAdvisor for Prometheus can be seen on the following page. However, it provides only Gauge and Counter metric types. During my research I was not able to find parameters that would enable modifications/extensions of those provided metrics.
Problem
According to my current understanding, the metric type should be a Histogram or Summary in order to observe the quantiles. What is the best approach to use the histogram_quantile query on the metrics provided by cAdvisor?
My current idea is to
create a custom server
fetch the desired data from Prometheus
calculate the desired data
provide it as a metric from the server, so that Prometheus can scrape it
Run histogram_quantile on the custom metric
Is it the right approach in order to create a metric that can be used with quantiles?
For example I would like to fire an alarm if a certain containers' CPU usage exceeds a 0,95 quantile. The code for the CPU usage can be seen exemplary below:
sum(rate(container_cpu_usage_seconds_total{name="CONTAINER_NAME"}[10m]))) / count(node_cpu_seconds_total{mode="system"}) * 100
What would be the best approach to create the desired quantiles? Am I on the right path or am I missing something simple here? Because it looks way too hard for me in order to get a simple query with a quantile.
I am thankful for all help and information.
hello i really want to use bosun/tsdbrelay/opentsdb with the telegraf collector, as it gets all the metrics we want to monitor out of the box.
i allready have a small setup to push metrics from 5 servers to bosun for indexing and opentsdb for storage.
i used the haproxy configs from kyle brandts bosun infrastructure blog to make the tsdbs ha-ready
but bosun is showing that it cannot use the auto-type for metrics, and also in the primary stats view does not show any graphs for cpu / mem etc.
what can i provide that the graphs show up.
kind regards.
Both of these features are mostly scollector specific. The "host" view (I've considered ripping that out, it was done in the early days, better to use something like grafana) depends on scollector specific metrics such as os.cpu.
As far as "Auto" for rate vs gauge, that is also metadata that comes from scollector and sent to bosun. If you want to try to mimic the behavior see https://github.com/bosun-monitor/bosun/blob/master/metadata/metadata.go#L30 and https://github.com/bosun-monitor/bosun/blob/master/metadata/metadata.go#L195 - you would need to create at least the "rate" key for each metric you are getting from telegraph.
I'm going to use influxdb to store a lot of iot data from sensors.
As the last cluster version of influxdbv0.11 is not ready to use in production, and the Relay HA is too young too, is there another way to scale-out influxdb?
eg:
What are the maturity of the last cluster version of influxdb v0.11? Should I customize v0.11 or try other cost-saving way.
How about use kafka infront of influxdb to buffer data when influxdb got down?
How about sharding?Is there any detailed document about sharding in influxdb( https://influxdata.com/high-availability/)?
Any way, I just want to find a free, cluster working influxdb.
Other than InfluxDB Relay there isn't a free way to scale out InfluxDB.
I have connected cAdvisor -> Prometheus and Grafana to get graphs for my Docker containers. One of them is the CPU load, but i can only see the cumulative usage lines and not actually a value at the moment. Id love to see somethin similar cAdvisor is showing. Whts the way to do so?
You're looking for the irate() and rate() functions. Using irate(my_metric[5m]) will calculate the per-second value for you.
Sorry I just started to learn docker. My question may seem stupid for some of you.
In fact, I would like to know if there is a way to collect performance metrics from "CAdvisor" container (not from cgroup) at runtime ? I mean, extract performance values from the curves designed by cadvisor like memory usage or network traffic.
I need to record this values and save them in a database so that, I can perform a statistic analyzes upon these generated values (like comparing memory consumption for two docker containers at t=50s).
Thanks in advance.
As other answers mention, cAdvisor doesn't provide its own performance data API, instead it exposes metrics which are typically handled in a separate database if one wants to derive performance data beyond "real time". For example, cAdvisor exports Prometheus metrics natively:
http://prometheus.io/docs/instrumenting/exporters/
The Prometheus metric types:
http://prometheus.io/docs/concepts/metric_types/
Prometheus supports a fairly rich functional expression language that can be used for querying and visualization:
http://prometheus.io/docs/querying/basics/
cAdvisor does provide a rest endpoint to get any stats in real time. By default, it keeps latest two minute of data. You can configure it to keep more or less. It also supports a storage backend to keep dumping stats to an influxdb database.
REST Api:
eg. /api/v1.3/containers
doc: https://github.com/google/cadvisor/blob/master/docs/api.md
Doc on setting up InfluxDB:
https://github.com/google/cadvisor/blob/master/docs/influxdb.md
I think you could use https://github.com/tutumcloud/container-metrics for this. Basically what that would be doing is using influxdb http://influxdb.com/ as a time series data store.
There is some more information available here: http://blog.tutum.co/2014/08/25/panamax-docker-application-template-with-cadvisor-elasticsearch-grafana-and-influxdb/
A couple of people seemed to be looking into the ELK stack (Elastic Search, Logstash, Kibana) for visualising some of this data here: https://github.com/google/cadvisor/issues/634