With all the tools you have in production, it’s important that you can effortlessly test the user flows end-to-end, locally. The rationale behind such is the reduced feedback cycle that saves a developer a lot of time to achieve the desired outcome. I was working on sending some telemetry data from my Golang web application to Prometheus, and then creating a Grafana dashboard out of it. But to test the flow, I needed a local setup of Prometheus + Grafana to check if the metrics were correct, and that I was building the right PromQL query to create the dashboard. I am maintaining a Github repo for all the docker-compose setups I require for my local testing, with Prometheus + Grafana being a new addition to it. If you need a similar setup, refer to this post or my and save your setup time to focus more on building things. Github Repository Clone the repo: https://github.com/ninadingole/docker-images Then go to folder and run . prometheus-grafana docker-compose up -d This will start Prometheus on and Grafana on . http://localhost:9090 http://localhost:3000 There is also a , the configuration file which you can use to add the local apps that you want to scrape. prometheus.yml : if your application is running inside a docker, then use as your hostname with the port to scrape the target. Note host.docker.internal global:
  scrape_interval:     15s
  evaluation_interval: 15s

rule_files:
  # - "first.rules"
  # - "second.rules"

scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['localhost:9090']
  - job_name: app
    scrape_interval: 5s
    static_configs:
      - targets: ['host.docker.internal:10088'] Once you have added the configs to connect Grafana to Prometheus like the image above, you are ready with an end-to-end setup on your local. If you also have your own docker-compose stack setups that you use during your development, please don't hesitate to share with me by sending me a PR to the repository. I hope you will find this docker-compose configuration useful and time saving. Please subscribe to the newsletter to get more articles delivered right to your inbox. Thanks and Happy Coding! Reference github

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