Table of Contents
- Introduction
- Prerequisites
- Setting up the Project
- Creating a Prometheus Exporter
- Running and Testing the Exporter
- Conclusion
Introduction
In this tutorial, we will learn how to create a Prometheus exporter in Go. Prometheus is a popular open-source monitoring and alerting toolkit, and exporters are components that expose metrics in a format that Prometheus can understand. By the end of this tutorial, you will be able to create your own exporter to monitor your Go applications and systems.
Prerequisites
Before starting the tutorial, you should have the following:
- Basic understanding of the Go programming language
- Go installed on your machine (version 1.11 or later)
- Basic knowledge of metrics and monitoring concepts
Setting up the Project
To begin, let’s set up a new Go project for our Prometheus exporter.
-
Create a new directory for your project:
```shell mkdir prometheus-exporter cd prometheus-exporter ```
-
Initialize a new Go module:
```shell go mod init github.com/your-username/prometheus-exporter ```
-
Create a new Go file called
main.go
:```shell touch main.go ```
Creating a Prometheus Exporter
In this section, we will create a simple Prometheus exporter that exposes a custom metric.
-
Open the
main.go
file in your preferred editor. -
Import the necessary packages:
```go package main import ( "fmt" "net/http" "github.com/prometheus/client_golang/prometheus" ) ```
-
Define a custom metric. Let’s say we want to track the number of HTTP requests made to our application:
```go var ( totalRequests = prometheus.NewCounter(prometheus.CounterOpts{ Name: "http_requests_total", Help: "Total number of HTTP requests", }) ) ```
-
Initialize the Prometheus exporter:
```go func init() { prometheus.MustRegister(totalRequests) } ```
-
Implement a simple HTTP handler to handle incoming requests:
```go func handler(w http.ResponseWriter, r *http.Request) { totalRequests.Inc() fmt.Fprint(w, "Hello, World!") } ```
-
Register the HTTP handler:
```go func main() { http.HandleFunc("/", handler) http.Handle("/metrics", prometheus.Handler()) fmt.Println("Server started on http://localhost:8080") http.ListenAndServe(":8080", nil) } ``` Here, we register our custom handler to handle requests and the `/metrics` endpoint to expose metrics.
-
Finally, run the program:
```shell go run main.go ``` Your Prometheus exporter is now running!
Running and Testing the Exporter
Now that our Prometheus exporter is up and running, let’s test it and see how we can scrape the metrics.
-
Open your web browser and navigate to
http://localhost:8080/
. You should see the message “Hello, World!”. -
Open another tab and visit
http://localhost:8080/metrics
. You should see the Prometheus metrics output, including our custom metrichttp_requests_total
.``` # HELP http_requests_total Total number of HTTP requests # TYPE http_requests_total counter http_requests_total 4 ``` Here, the `http_requests_total` metric has a value of 4 since we visited the `/` endpoint four times.
-
To scrape these metrics using Prometheus, add the following configuration to your
prometheus.yml
file:```yaml scrape_configs: - job_name: 'my_exporter' static_configs: - targets: ['localhost:8080'] ``` Prometheus will now scrape the metrics from our exporter.
-
Restart Prometheus and navigate to the Prometheus web interface. You should see the
http_requests_total
metric in the list of available metrics. -
Create a graph or dashboard to visualize the
http_requests_total
metric over time.Congratulations! You have successfully created a Prometheus exporter in Go and exposed a custom metric for monitoring.
Conclusion
In this tutorial, we learned how to create a Prometheus exporter in Go. We covered the basics of setting up a Go project, creating a custom metric, and exposing it for monitoring using Prometheus. By following the steps in this tutorial, you can now create your own exporters to monitor various aspects of your applications and systems using Prometheus.
Remember to explore the Prometheus documentation and other available client libraries to further enhance your understanding and capabilities with Prometheus monitoring. Happy monitoring!