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Local-docker-prometheus-metrics-monitor

A monitoring solution for Docker hosts and containers with Prometheus, Grafana, cAdvisor, NodeExporter and alerting with AlertManager.

Containers:

  • Microservice (flask service) http://<host-ip>:5000
  • Prometheus (metrics database) http://<host-ip>:9090
  • Prometheus-Pushgateway (push acceptor for ephemeral and batch jobs) http://<host-ip>:9091
  • AlertManager (alerts management) http://<host-ip>:9093
  • Grafana (visualize metrics) http://<host-ip>:3000
  • NodeExporter (host metrics collector)
  • cAdvisor (containers metrics collector)
  • Caddy (reverse proxy and basic auth provider for prometheus and alertmanager)
  • Microservice (flask microservice) http://<host-ip>:5000 and metrics are here http://<host-ip>:5000/metrics

To run the entire stack one can use Tilt in order to make it faster:

  • Install Tilt: https://docs.tilt.dev/install.html
  • Run: cp ./.env_template ./.env
  • Input values like repo tocken and repo project id in the newly created .env file
  • Run it with: tilt up
  • You're goot to go, don't forget to press enter inm your terminal window, read logs from tilt!
  • Wait until services are running and then you can visit:

http://localhost:3000 - Grafana http://localhost:9090 - Prometheus http://localhost:5000 - Your service metrics as a list http://localhost:5000/metrics - All available metrics scraped from your service

To run the entire stack one can use Docker-compose that is a bit long:

  • Run: cp ./.env_template ./.env
  • Input values like repo tocken and repo project id in the newly created .env file
  • Run it with: docker-compose up -b
  • You're goot to go, don't forget to press enter inm your terminal window, read logs from tilt!
  • Wait until services are running and then you can visit:

http://localhost:3000 - Grafana http://localhost:9090 - Prometheus http://localhost:5000 - Your service metrics as a list http://localhost:5000/metrics - All available metrics scraped from your service

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Prometheus metrics with Grafana and Tilt running locally

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