LABINTERMEDIATE
Auto-Instrumentation Practice
Learn to automatically instrument Python applications without code changes using OpenTelemetry.
40 minutes
observability/opentelemetry
Lab Overview
This hands-on lab teaches you how to use OpenTelemetry's auto-instrumentation capabilities to add observability to applications without modifying source code.
You'll learn to:
- Set up OpenTelemetry auto-instrumentation for Python applications
- Instrument Flask web applications automatically
- Capture HTTP client requests with the requests library instrumentation
- Customize auto-instrumentation behavior through configuration
Auto-instrumentation is essential for quickly adding observability to existing applications and is a key topic for the OTCA certification.
Prerequisites
basic-python
otel-exploring-telemetry-data-types
Technologies Covered
opentelemetryauto-instrumentationflaskpythonobservabilityotca
Part of a Course
This lab is part of the OpenTelemetry Certified Associate (OTCA) Exam Preparation course
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- Video lessons with closed captions
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Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
- Playgrounds for experiments
- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
No Setup Required
- Everything runs in your browser
- No software installation needed
- Automatic environment provisioning
- Works on any device
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