Monitoring-Metrics-using-Prometheus

README

Monitoring Metrics using Prometheus

An example application that shows how to implement Prometheus Metrics

About

An example application that shows how to implement Prometheus Metrics into your Golang application and visualize the data using Grafana.

Getting started

Starting the application

You can start all services by running the docker-compose file:

docker-compose up -d

Generating load on HTTP Server

You can either generate load manually by visiting the HTTP page on localhost:8080 or generate load using some load generator. I use Hey, which is an easy-to-use command-line tool.

hey -z 5m -q 5 -m GET -H "Accept: text/html" http://127.0.0.1:8080

hey -n 10000 -c 100 -m GET -H "Accept: text/html" http://127.0.0.1:8080

You can now see the metrics of your application on http://localhost:8080/metrics.

vibgreon@vibgreon:~/Desktop/learning-go/advanced-programs/PrometheusHTTPServer$ hey -n 10000 -c 100 -m GET -H "Accept: text/html" http://127.0.0.1:8080

Summary:
  Total:  3.0324 secs
  Slowest:  0.2544 secs
  Fastest:  0.0005 secs
  Average:  0.0287 secs
  Requests/sec: 3297.7592

  Total data: 1610000 bytes
  Size/request: 161 bytes

Response time histogram:
  0.000 [1] |
  0.026 [6087]  |■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■
  0.051 [2503]  |■■■■■■■■■■■■■■■■
  0.077 [794] |■■■■■
  0.102 [285] |■■
  0.127 [138] |■
  0.153 [87]  |■
  0.178 [18]  |
  0.204 [39]  |
  0.229 [29]  |
  0.254 [19]  |


Latency distribution:
  10% in 0.0041 secs
  25% in 0.0093 secs
  50% in 0.0199 secs
  75% in 0.0364 secs
  90% in 0.0617 secs
  95% in 0.0849 secs
  99% in 0.1565 secs

Details (average, fastest, slowest):
  DNS+dialup: 0.0000 secs, 0.0005 secs, 0.2544 secs
  DNS-lookup: 0.0000 secs, 0.0000 secs, 0.0000 secs
  req write:  0.0001 secs, 0.0000 secs, 0.0284 secs
  resp wait:  0.0268 secs, 0.0003 secs, 0.2543 secs
  resp read:  0.0014 secs, 0.0000 secs, 0.0380 secs

Status code distribution:
  [200] 10000 responses

Importing Grafana dashboard

Lastly, you can visualize the metrics data using Grafana, which should be running on localhost:3000 after deploying the docker-compose file.

1. You need to set Prometheus as your data source
2. Visualize the exposed Prometheus metrics in a Dashboard (I have also included a dashboard file in the Grafana folder that you can import)

License

MIT