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Jaeger Tracing

Master Jaeger for distributed tracing to monitor, debug, and optimize microservices-based applications.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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Jaeger is an open-source distributed tracing system originally created by Uber, now part of the CNCF (Cloud Native Computing Foundation). It helps developers and DevOps teams trace requests across microservices, providing insights into latency, bottlenecks, and dependencies.
 
This course takes you from tracing fundamentals to advanced monitoring setups, teaching how to deploy Jaeger, instrument services, and integrate with Kubernetes, OpenTelemetry, and observability stacks. By the end, you’ll be able to trace, monitor, and optimize real-world microservices architectures.
What You Will Gain

  • Understand distributed tracing concepts and architectures.

  • Install and configure Jaeger on Docker and Kubernetes.

  • Instrument microservices for tracing with OpenTelemetry SDKs.

  • Visualize request flows and identify bottlenecks.

  • Integrate Jaeger with Prometheus, Grafana, and Loki.

  • Build end-to-end observability pipelines.

  • Optimize system performance using trace insights.

Who This Course Is For

  • DevOps engineers managing microservices.

  • Site Reliability Engineers (SREs) building observability pipelines.

  • Backend developers debugging distributed applications.

  • Cloud engineers deploying services on Kubernetes.

  • Students & professionals learning cloud-native observability.

How to Use This Course Effectively
 
  1.  
    Start with tracing basics before deploying Jaeger.
     
  2.  
    Set up Jaeger locally (Docker Compose) then scale to Kubernetes.
     
  3.  
    Instrument applications with OpenTelemetry SDKs.
     
  4.  
    Visualize and analyze traces to debug performance issues.
     
  5.  
    Integrate with monitoring tools like Grafana and Prometheus.
     
  6.  
    Deploy in real projects to gain practical experience.

Course Objectives Back to Top

By completing this course, you will:

  • Deploy Jaeger in local and cloud environments.

  • Collect and analyze traces across microservices.

  • Use OpenTelemetry to instrument applications.

  • Integrate tracing with metrics and logs for observability.

  • Apply best practices for debugging and optimization.

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Distributed Tracing

  • What is distributed tracing?

  • Tracing vs logging vs metrics

  • Jaeger overview and use cases

Module 2: Installing Jaeger

  • Running Jaeger with Docker Compose

  • Deploying Jaeger on Kubernetes (Helm, Operators)

  • Jaeger components: Agent, Collector, Query, UI

Module 3: Jaeger Architecture

  • How tracing works

  • Spans and traces explained

  • Storage backends (Elasticsearch, Cassandra, Badger)

Module 4: Instrumentation

  • Using OpenTelemetry SDKs

  • Auto-instrumentation for HTTP, gRPC, DB calls

  • Adding custom spans and tags

Module 5: Trace Visualization

  • Exploring the Jaeger UI

  • Service dependencies graph

  • Latency and bottleneck analysis

Module 6: Integrations

  • Jaeger + Prometheus + Grafana

  • Jaeger with Loki for logs correlation

  • Cloud-native observability pipelines

Module 7: Advanced Features

  • Adaptive sampling strategies

  • Trace storage optimization

  • High availability deployments

Module 8: Real-World Projects

  • Microservices e-commerce app with Jaeger

  • Tracing a Kubernetes-based service mesh

  • Debugging a payment service bottleneck

Module 9: Production Best Practices

  • Scaling Jaeger in clusters

  • Security and authentication

  • Troubleshooting tracing pipelines

Certification Back to Top

Learners will receive a Certificate of Completion from Uplatz, validating their expertise in Jaeger, distributed tracing, and observability. This certificate demonstrates readiness for roles in DevOps, SRE, and Cloud Engineering.

Career & Jobs Back to Top

Jaeger expertise prepares learners for roles such as:

  • DevOps Engineer (Observability)

  • Site Reliability Engineer (SRE)

  • Cloud Infrastructure Engineer

  • Observability Specialist

  • Backend Engineer (Microservices)

Jaeger is widely used in microservices monitoring, Kubernetes, and large-scale distributed systems, making it a high-demand skill.

Interview Questions Back to Top

  1. What is Jaeger and why is it used?
    Jaeger is a distributed tracing system that tracks requests across microservices, helping to debug and optimize performance.

  2. What are spans and traces in Jaeger?

  • Span → A single operation.

  • Trace → A collection of spans representing the lifecycle of a request.

  1. How does Jaeger integrate with applications?
    Through OpenTelemetry SDKs and agents, which collect trace data and send it to Jaeger.

  2. What are the main components of Jaeger?
    Agent, Collector, Query Service, and UI.

  3. What storage backends does Jaeger support?
    Elasticsearch, Cassandra, Badger, and memory storage.

  4. What is adaptive sampling in Jaeger?
    A method to reduce trace data volume by sampling only a subset of requests.

  5. How does Jaeger differ from Zipkin?
    Both are tracing systems, but Jaeger offers better scalability, UI, and CNCF integration.

  6. How do you visualize dependencies in Jaeger?
    Through the service dependency graph in the Jaeger UI.

  7. How can Jaeger be deployed in Kubernetes?
    Using Helm charts or the Jaeger Operator for easier management.

  8. Where is Jaeger commonly used?
    In microservices, Kubernetes clusters, service meshes (like Istio), and large-scale distributed apps.

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