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System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) · Lesson

Auto-Instrumentation Techniques

Learn how to use OpenTelemetry's auto-instrumentation features to quickly add observability to existing applications with minimal code changes.

Intro to Auto-Instrumentation

Welcome to Auto-Instrumentation Techniques! This lesson is all about adding observability to your applications without touching their code.

Think of it as a magic trick: your app starts reporting logs, metrics, and traces, but you didn't write a single line of extra code for it. This is incredibly powerful for existing or legacy systems.

How Auto-Instrumentation Works

So, how does this magic happen? Auto-instrumentation typically uses specialized agents or profilers that attach to your application at runtime.

  • Bytecode Manipulation: For languages like Java, agents can modify the application's bytecode as it loads, injecting OpenTelemetry's tracing and metric collection logic.
  • Library Wrapping: For other languages, it might involve dynamically wrapping common libraries (like HTTP clients or database drivers) to intercept their calls.

All lessons in this course

  1. Auto-Instrumentation Techniques
  2. Manual Instrumentation Best Practices
  3. Context Propagation and Baggage
  4. Span Attributes, Events, and Status
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