docker run \
--name prometheus \
-d \
-v prometheus:/prometheus \
-v $(pwd)/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
-p 9090:9090 \
prom/prometheus
In this example we work with a node application, see on app folder.
Can increase or decrease arbitrarily
const gauge = new promClient.Gauge({
name: 'class_free_bytes',
help: 'Example of gauge'
});
gauge.set(100*Math.random());
Used to measure the distribution
const histogram = new promClient.Histogram({
name: 'class_request_time_seconds',
help: 'Time to response from API',
buckets: [0.1, 0.2, 0.3, 0.4, 0.5],
});
histogram.observe(Math.random()); // Observe value in histogram
Used to measure the distribution with percentiles
const summary = new promClient.Summary({
name: 'class_summary_request_time_seconds',
help: 'Time to response from API',
percentiles: [0.01, 0.1, 0.5, 0.9, 0.99] // percentiles 1%, 10%, 50%, 90%, 99%
});
summary.observe(time);
Links https://prometheus.io/docs/instrumenting/clientlibs/ https://github.com/siimon/prom-client#labels
Install node_exporter on server for registrer metrics
version: '3.8'
services:
node_exporter:
image: quay.io/prometheus/node-exporter:latest
container_name: node_exporter
command:
- '--path.rootfs=/host'
network_mode: bridge
restart: unless-stopped
volumes:
- '/:/host:ro,rslave'
ports:
- 9100:9100
Add a new target on prometheus.yml
- job_name: server-001
static_configs:
- targets:
- 3.87.217.36:9100
Restart de container to update de configuration
docker container restart prometheus
Done! Now you can see the metrics on http://<IP_ADDRESS>:9100/metrics