How do you handle HTTP client server alerting in Go?

In order to handle HTTP client/server alerting in Go, you can use various monitoring tools like Prometheus and Grafana. Prometheus is an open-source monitoring system that collects metrics from different sources and stores them in a time-series database. It has a powerful query language and provides a flexible and scalable alerting mechanism. To use Prometheus with Go, you can use the official Prometheus client library, which provides a simple way to instrument your Go code and expose metrics to Prometheus. You can use this library to track the performance of your HTTP server/client and other metrics like memory usage, CPU usage, and so on.
Client Server Alerting
Here's an example of how to use the Prometheus client library to instrument a simple HTTP client:


import (

var (
    requestsTotal = prometheus.NewCounterVec(
            Name: "http_requests_total",
            Help: "Number of HTTP requests processed",
        []string{"method", "status_code"},

func main() {
    http.HandleFunc("/", handler)
    http.Handle("/metrics", promhttp.Handler())

    if err := http.ListenAndServe(":8080", nil); err != nil {

func handler(w http.ResponseWriter, r *http.Request) {
    requestsTotal.With(prometheus.Labels{"method": r.Method, "status_code": "200"}).Inc()

    // your HTTP client logic here

In this example, we create a new counter vector using the Prometheus client library. The counter vector counts the number of HTTP requests processed, grouped by HTTP method and HTTP status code.

In the handler function, we increment the requestsTotal counter vector with the appropriate labels. We can use these labels to filter and group the metrics in Prometheus.

Finally, we use the promhttp.Handler() to expose the Prometheus metrics endpoint /metrics to our HTTP server.

You can configure Prometheus to send alerts based on these metrics and set up alerting rules for your HTTP server/client.

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