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Hands On Lab
Prometheus &
Grafana
Grafana data sources
+60 Published Data Sources
Prometheus
Prometheus is an open source time series database that focuses on capturing
measurements and exposing them via an API originally built at SoundCloud in 2012.
It’s simple and efficient.
Prometheus pull (“scrapes”) metrics from instrumented applications and store it on
time series database as key/value pairs .
Prometheus Architecture
App
Http GET /metrics
Prometheus Architecture
# TYPE node_memory_MemFree_bytes gauge
# HELP node_memory_MemFree_bytes Available Memory.
node_memory_MemFree_bytes 2.4608768e+08
Prometheus Metrics
nginx_http_requests_total{status="200"} 1000
nginx_http_requests_total{status="400"} 1
nginx_http_requests_total{status="404"} 10
Prometheus Metrics Labels
Prometheus Exporters
Node-Exporter
MySQL
PostgreSQL
Redis
Elasticsearch
RabbitMQ
PHP-FPM
Apache
Nginx
HaProxy
Traefik
Docker daemon
cAdvisor
Kubernetes
NodeJS
Python
Java
Go
Rust
Ruby
...
Full list : https://prometheus.io/docs/instrumenting/exporters
Prometheus query language : PromQL
node_memory_MemFree_bytes
nginx_http_requests_total{status="404"}
sum(nginx_http_requests_total{})
rate(nginx_http_requests_total{status="404"}[5m])
http_requests_total{job=~".*server"}
sum(rate(http_requests_total[5m])) by (job)
(instance_memory_limit_bytes - instance_memory_usage_bytes) /
1024 / 1024
It is time to practice
https://github.com/DemisR/workshop-prometheus-grafana

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