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Prometheus + Docker Collector for Corral Workloads

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Measurement Utility

Small GoLang util to collect metrics form Prometheus and Docker

Usage

Example:metrics --nodes=systemA,systemB --name=foo --timeout=60s --interval=500ms Collects metrics from systemA and systemB every 500ms for 60s and saves them to foo_YEAR_MONTH_DAY.csv

By default, each select node must provide access to the docker api over port 2376 and access to the prometheus node agent over port 9100.

Name Default Usage
nodes nil list of urls to connect to seperated with ,
name prefix used for the log file
timeout -1 timeout before stopping to collect data, -1 means no timeout
interval 1s interval between polling data from all nodes
docker true indecate if docker metrics should be collected
dport 2376 port used to connect to docker api
pport 9100 port used to connect to prometheus node agent

Use Ctr+C to terminate the process if no timeout is defined.

Output

The output is a csv file with the following columns:

Name Description
timestamp current timestamp
HId node name
cpu_user cpu used py user in percent
cpu_system cpu used py system in percent
cpu_idle cpu idle in percent
cpu_iowait cpu used py iowait in percent
forks number of forks
disk disc usage
load running load average (1 minute)
mem_available available memory in bytes
mem_total total memory in bytes
net_rev bytes received
net_tra bytes transmitted
cpu_user_delta cpu user changed since last update
cpu_system_delta cpu system changed since last update
cpu_idle_delta cpu idle changed since last update
cpu_iowait_delta cpu iowait changed since last update
forks_delta forks changed since last update
mem_usage memory usage in bytes
docker_running number of running docker containers
docker_paused number of paused docker containers
docker_total total number of docker containers

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Prometheus + Docker Collector for Corral Workloads

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