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creating a comprehensive devops monitoring project involves several components, tools, and practices to achieve real-time monitoring and observability of applications and infrastructure. the key objectives of such a project are to ensure system reliability, performance, and quick incident response. this tutorial will guide you through the creation of a simple devops monitoring project using popular tools such as prometheus, grafana, and a sample application.

overview of the project

in this tutorial, we will:

1. set up a sample application (we'll use a simple node.js api).
2. integrate prometheus for metrics collection.
3. set up grafana for visualization of metrics.
4. monitor application performance and system metrics in real-time.

prerequisites

basic knowledge of docker and container orchestration.
familiarity with node.js and javascript.
understanding of prometheus and grafana.

step 1: set up the sample application

let’s create a simple node.js application that exposes some metrics.

1.1 create a node.js application

1. create a new directory for your project:



2. initialize a new node.js project:



3. install the necessary packages:



4. create a file named `app.js` and add the following code:



5. start the application:



now, you have a simple node.js application that tracks http requests and exposes metrics at the `/metrics` endpoint.

step 2: set up prometheus

2.1 create a prometheus configuration

1. create a `prometheus.yml` file in the project directory:



2. start prometheus using docker:



you can access the prometheus ui at `http://localhost:9090`.

step 3: set up grafana

3.1 start grafana

1. start grafana using docker:



2. access grafana at `http://localhost:3000`. the default login is `admin` / `admin`.

3.2 add prometheus as a data source

1. in grafana, navigate to **configuration data sources**.
2. click on *add data source* and select **prometheus**.
3. set the url to `http://promethe ...

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DevOps monitoring
real-time monitoring
performance metrics
infrastructure monitoring
application performance
log management
alerting system
incident response
automation tools
dashboard visualization
continuous integration
deployment tracking
system health checks
cloud monitoring
DevOps analytics