Send metrics from Apache HTTP server (HTTPD) to anywhere

A simple guide to send metrics from Apache HTTP server (HTTPD) to anywhere in just a few minutes.
type: tutorialdomain: sourcessource: apache_metrics

Metrics are an essential part of observing any service; without them you'll have significant blind spots. But collecting and analyzing them can be a real challenge -- especially at scale. Not only do you need to solve the basic task of collecting your metrics, but you must do it in a reliable, performant, and robust manner. Nothing is more frustrating than having your metrics pipeline fall on it's face during an outage, or even worse, cause the outage!

Fear not! In this guide we'll build an observability pipeline that will send metrics from Apache HTTP server (HTTPD) to anywhere.

Strategy

How This Guide Works

We'll be using Vector to accomplish this task. Vector is a popular open-source observability data platform. It's written in Rust, making it lightweight, ultra-fast and highly reliable. And we'll be deploying Vector as a agent.

Vector daemon deployment strategyVector daemon deployment strategy
1. Your service logs to STDOUT
STDOUT follows the 12 factor principles.
2. STDOUT is captured
STDOUT is captured and sent to an Apache HTTP server (HTTPD).
3. Vector collects & fans-out data
Vector collects data from your platform.

What We'll Accomplish

We'll build an observability data platform that:

  • Collects metrics from Apache HTTP server (HTTPD).
    • Enriches data with useful Apache HTTP server (HTTPD) context.
    • Efficiently collects data and checkpoints read positions to ensure data is not lost between restarts.
  • Send your metrics to one or more destinations

All in just a few minutes!

Tutorial

  1. Install Vector

    curl --proto '=https' --tlsv1.2 -sSf https://sh.vector.dev | sh
  2. Configure Vector

    cat <<-'VECTORCFG' > ./vector.toml
    [sources.apache_metrics]
    type = "apache_metrics"
    endpoints = [ "http://localhost:8080/server-status/?auto" ]
    # --> Add transforms here to parse, enrich, and process data
    # print all events, replace this with your desired sink(s)
    # https://vector.dev/docs/reference/sinks/
    [sinks.out]
    type = "console"
    inputs = [ "apache_metrics" ]
    encoding.codec = "json"
    VECTORCFG
  3. Start Vector

    vector --config ./vector.toml
  4. Observe Vector

    vector top
    explain this command

Next Steps

Vector is powerful tool and we're just scratching the surface in this guide. Here are a few pages we recommend that demonstrate the power and flexibility of Vector:

Vector Github repo 4k
Vector is free and open-source!
Vector getting started series
Get setup in just a few minutes
Vector documentation
Everything you need to know about Vector