Send metrics from StatsD to anywhere

A simple guide to send metrics from StatsD to anywhere in just a few minutes.
type: tutorialdomain: sourcessource: statsd

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 StatsD to anywhere.


How This Guide Works

We'll be using [Vector][urls.vector_website] to accomplish this task. Vector is a popular open-source observability data pipeline. 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 StatsD.
3. Vector collects & fans-out data
Vector collects data from your platform.

What We'll Accomplish

We'll build an observability data pipeline that:

  • Receives metrics from StatsD.
    • Enriches data with useful StatsD context.
    • Supports TCP keepalive for efficient resource use and reliability.
    • Securely receives data via Transport Layer Security (TLS).
  • Send your metrics to one or more destinations

All in just a few minutes!


  1. Install Vector

    curl --proto '=https' --tlsv1.2 -sSf | sh
  2. Configure Vector

    cat <<-'VECTORCFG' > ./vector.toml
    type = "statsd"
    address = ""
    mode = "tcp"
    path = "/path/to/socket"
    # --> Add transforms here to parse, enrich, and process data
    # print all events, replace this with your desired sink(s)
    type = "console"
    inputs = [ "statsd" ]
    encoding.codec = "json"
  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 quickstart
Get setup in just a few minutes
Vector documentation
Everything you need to know about Vector