0.388611299
go_gc_duration_seconds_count 74
# HELP go_goroutines Number of goroutines that currently exist.
Raising the Prometheus and Graphana ligament
We examined the metrics in the already configured Prometheus, now we will raise Prometheus and configure it ourselves:
essh @ kubernetes-master: ~ $ docker run -d –net = host –name prometheus prom / prometheus
09416fc74bf8b54a35609a1954236e686f8f6dfc598f7e05fa12234f287070ab
essh @ kubernetes-master: ~ $ docker ps -f name = prometheus
CONTAINER ID IMAGE NAMES
09416fc74bf8 prom / prometheus prometheus
UI with graphs for displaying metrics:
essh @ kubernetes-master: ~ $ firefox localhost: 9090
Add the go_gc_duration_seconds {quantile = "0"} metric from the list:
essh @ kubernetes-master: ~ $ curl localhost: 9090 / metrics 2> / dev / null | head -n 4
# HELP go_gc_duration_seconds A summary of the GC invocation durations.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds {quantile = "0"} 1.0097e-05
go_gc_duration_seconds {quantile = "0.25"} 1.7841e-05
Going to the UI at localhost: 9090 in the menu, select Graph. Let's add to the dashboard with the chart: select the metric using the list – insert metrics at cursor . Here we see the same metrics as in the localhost: 9090 / metrics list, but aggregated by parameters, for example, just go_gc_duration_seconds. We select the go_gc_duration_seconds metric and show it on the Execute button . In the console tab of the dashboard, we see the metrics:
go_gc_duration_seconds {instance = "localhost: 9090", JOB = "prometheus", quantile = "0"} 0.000009186 go_gc_duration_seconds {instance = "localhost: 9090", JOB = "prometheus", quantile = "0.25"} 0.000012056 = go_congc_ instance "localhost: 9090", JOB = "prometheus", quantile = "0.5"} 0.000023256 go_gc_duration_seconds {instance = "localhost: 9090", JOB = "prometheus", quantile = "0.75"} 0.000068848 go_gc_duration_seconds {instance = "localhost: 9090 ", JOB =" prometheus ", quantile =" 1 "} 0.00021869
by going to the Graph tab – their graphical representation.
Now Prometheus collects metrics from the current node: go_ *, net_ *, process_ *, prometheus_ *, promhttp_ *, scrape_ * and up. To collect metrics from Docker, we tell him to write his metrics in Prometheus on port 9323:
eSSH @ Kubernetes-master: ~ $ curl http: // localhost: 9323 / metrics 2> / dev / null | head -n 20
# HELP builder_builds_failed_total Number of failed image builds
# TYPE builder_builds_failed_total counter
builder_builds_failed_total {reason = "build_canceled"} 0
builder_builds_failed_total {reason = "build_target_not_reachable_error"} 0
builder_builds_failed_total {reason = "command_not_supported_error"} 0
builder_builds_failed_total {reason = "Dockerfile_empty_error"} 0
builder_builds_failed_total {reason = "Dockerfile_syntax_error"} 0
builder_builds_failed_total {reason = "error_processing_commands_error"} 0
builder_builds_failed_total {reason = "missing_onbuild_arguments_error"} 0
builder_builds_failed_total {reason = "unknown_instruction_error"} 0
# HELP builder_builds_triggered_total Number of triggered image builds
# TYPE builder_builds_triggered_total counter
builder_builds_triggered_total 0
# HELP engine_daemon_container_actions_seconds The number of seconds it takes to process each container action
# TYPE engine_daemon_container_actions_seconds histogram
engine_daemon_container_actions_seconds_bucket {action = "changes", le = "0.005"} 1
engine_daemon_container_actions_seconds_bucket {action = "changes", le = "0.01"} 1
engine_daemon_container_actions_seconds_bucket {action = "changes", le = "0.025"} 1
engine_daemon_container_actions_seconds_bucket {action = "changes", le = "0.05"} 1
engine_daemon_container_actions_seconds_bucket {action = "changes", le = "0.1"} 1
In order for the docker daemon to apply the parameters, it must be restarted, which will lead to the fall of all containers, and when the daemon starts, the containers will be raised in accordance with their policy:
essh @ kubernetes-master: ~ $ sudo chmod a + w /etc/docker/daemon.json
essh @ kubernetes-master: ~ $ echo '{"metrics-addr": "127.0.0.1:9323", "experimental": true}' | jq -M -f / dev / null> /etc/docker/daemon.json
essh @ kubernetes-master: ~ $ cat /etc/docker/daemon.json
{
"metrics-addr": "127.0.0.1:9323",
"experimental": true
}
essh @ kubernetes-master: ~ $ systemctl restart docker
Prometheus will only respond to metrics on the same server from different sources. In order for us to collect metrics from different nodes and see the aggregated result, we need to put an agent collecting metrics on each node:
essh @ kubernetes-master: ~ $ docker run -d \
–v "/ proc: / host / proc" \
–v "/ sys: / host / sys" \
–v "/: / rootfs" \
–-net = "host" \
–-name = explorer \
quay.io/prometheus/node-exporter:v0.13.0 \
–collector.procfs / host / proc \
–collector.sysfs / host / sys \
–collector.filesystem.ignored-mount-points "^ / (sys | proc | dev | host | etc) ($ | /)"
1faf800c878447e6110f26aa3c61718f5e7276f93023ab4ed5bc1e782bf39d56
and register to listen to the address of the node, but for now everything is local, localhost: 9100. Now let's tell Prometheus to listen to agent and docker:
essh @ kubernetes-master: ~ $ mkdir prometheus && cd $ _
essh @ kubernetes-master: ~ / prometheus $ cat << EOF> ./prometheus.yml
global:
scrape_interval: 1s
evaluation_interval:
