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Prometheus and Grafana for monitoring

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Setup

  1. Create a data directory at the root of the project.

  2. Inside the data directory, create grafana and prometheus directories for persistent storage.

  3. Use the command docker-compose up -d to start the container with all the tools.
    Grafana should be available at http://localhost:3030
    The default username and password both are admin.
    Provisioned datasource and dashboard are already added for you but you can add them manually too.
    Follow the steps below to add Prometheus as a data source inside Grafana.
    Also follow the steps to add a nodejs dashboard to Grafana.

  4. Server should be available at http://localhost:3011.
    Follow the steps below to use the script to send traffic to the server.

Manual Setup


Install Prometheus

docker run \        
    -p 9090:9090 \
    -v ./prometheus.yml:/etc/prometheus/prometheus.yml \
    prom/prometheus

Inside prometheus.yml config, you will have to update target under fibonacci_api job configuration to something like host.docker.internal:3010 with the correct port number where your nodejs app will provide metrics.

Prometheus should be up and running on http://localhost:9090

Find more here: https://prometheus.io/docs/prometheus/latest/installation/

Install Graphana

docker run -d --name=grafana -p 3030:3000 grafana/grafana-enterprise

Grafana should be available at http://localhost:3030
The default username and password both are admin.

Find more here: https://grafana.com/docs/grafana/latest/setup-grafana/configure-docker/
More useful docs for using with docker-compose:
https://grafana.com/docs/grafana-cloud/quickstart/docker-compose-linux/

Adding Prometheus as data source


Go to http://localhost:3030/datasources and click on Add data source button.
Then select Prometheus from the given menu.

  • For manual setup
    Find the IP address of the prometheus container. Add the URL http://<IP Address>:9090 (e.g., http:170.30.0.0:9090)

  • When using docker-compose
    We can use static address for URL: http://prometheus:9090

Click on Save & test.

The data source should be added.

Creating the dashboard


You can import a pre-built dashboard for nodejs processed from here:
https://grafana.com/grafana/dashboards/11159-nodejs-application-dashboard/

Or you can import the dashboard I created from server/nodejs-dashboard.json.

Setup Server


From the container, server is available at http://localhost:3011.

We can use the existing script to simulate different type of traffic to the server.

We first need to install dependencies to run the script.
Use the commands below and it will start the script.

cd server
npm i
node generateRandomRequests.js

This will send uniform traffic to the server. You can tweak the configs to see different result.

To send the unusual amount of traffic, run the script with the number of requests you want.

node generateRandomRequests.js 1000

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