Advanced Techniques in Distributed Tracing equips participants with the essential skills and knowledge to implement and optimize distributed tracing systems within complex software architectures. The course emphasizes hands-on, project-based learning, allowing participants to engage deeply with real-world scenarios. By focusing on practical applications, attendees will gain insights into how distributed tracing improves system observability, performance monitoring, and troubleshooting processes.
Throughout the program, participants will explore advanced concepts and tools related to distributed tracing, including instrumentation techniques, context propagation, and integration with monitoring solutions. The course culminates in a final project where learners will design and implement a distributed tracing solution tailored to a specific use case, fostering an environment of innovation and practical application. Participants are encouraged to publish their findings and results in Cademix Magazine, contributing to the broader community of software engineering and DevOps professionals.
Syllabus:
Introduction to Distributed Tracing: Concepts and Importance
Key Tools and Frameworks for Distributed Tracing (e.g., OpenTracing, Jaeger)
Instrumentation Techniques for Microservices
Context Propagation and Correlation IDs
Integrating Distributed Tracing with Monitoring Solutions
Analyzing Trace Data for Performance Optimization
Troubleshooting Distributed Systems Using Tracing
Case Studies: Real-world Applications of Distributed Tracing
Final Project: Designing a Distributed Tracing Solution
Best Practices for Implementing Distributed Tracing in Production Environments