Overview

Simple library for instrumenting code to record dimensional time series data.

At a minimum, you need to:

1. Understand core concepts.

   • Time Series
   • Normalization
   • Naming
   • Clock

2. Install the metrics agent.

   • SpectatorD

3. Install the language-specific library and configuration bindings, where available.

   • Support Class Descriptions
     • Language Overview
   • First-Class Support
     • C++
     • Go
     • Java
     • Node.js
     • Python
   • Best-Effort Support
     • Rust (internal library)

4. Instrument some code, referring to the core usage guides on the following meter types:

   • Counters
   • Distribution Summaries
   • Gauges
   • Percentile Timers
   • Timers

After you are more familiar with the library and need assistance with more advanced topics, see the Patterns section on the left.