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Jaeger Deep Dive

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

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This course provides a deep dive into the Jaeger project, focusing on topics such as architecture, deployment models, configuration, sampling techniques, integration with OpenTelemetry, and best practices. By the end of the session, attendees will gain a better understanding of Jaeger's architecture, deployment methods, and how to contribute to the project. The course covers skills such as interpreting service dependencies, tracing operations, configuring sampling, and deploying Jaeger on Kubernetes. The teaching method includes presentations, demos, and discussions. This course is intended for developers, system architects, and individuals interested in distributed tracing and observability tools.

Syllabus

Intro
Metrics - Cardinality
Context Propagation & Distributed Tracing
Service dependencies diagram
Transitive Service Graphs
Trace timeline - A blocking operation
Trace timeline - Sequential operations
Comparing trace structures - Unified diff
Jaeger, a Distributed Tracing Platform
Instrumentation not included
Jaeger and your system
Architecture 2017: Push
Technology Stack
Why do we sample
Sampling techniques
Head-based sampling in Jaeger
Jaeger sampling configuration
Tail-based (post-trace) sampling
Tail-based sampling in Jaeger
Jaeger with OpenTracing
Jaeger with OpenTelemetry
Deploying Jaeger on Kubernetes

Taught by

CNCF [Cloud Native Computing Foundation]

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