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Designed for professionals who want to master modern cloud-native diagnostics, this course goes far beyond traditional monitoring. You’ll learn how distributed tracing provides the full end-to-end visibility essential for pinpointing issues in today’s highly decoupled architectures. Think of it as the MRI of your distributed system - revealing causal relationships, latency bottlenecks, and hidden failure points that logs and metrics alone can never expose.
Through guided labs, real-world scenarios, and hands-on instrumentation, you’ll build the expertise to apply AIOps principles where they matter most: automated, accurate root cause analysis (RCA) in complex, distributed environments. By the end, you’ll know how to generate, collect, visualize, and interpret traces to diagnose problems with precision - and to correlate them with logs and metrics for truly holistic observability.
1. The Challenge of Microservices & The Rise of Distributed Tracing
2. Installing the OpenTelemetry Collector
3. Instrumenting Applications with OpenTelemetry
4. Visualizing Traces with Jaeger
5. Practical Root Cause Analysis with Distributed Traces
By the end of this course, you’ll have the confidence and hands-on expertise to instrument services, collect telemetry, visualize traces, and perform real root cause analysis across complex distributed systems. You’ll be equipped with practical skills in OpenTelemetry, the Collector, and Jaeger - empowering you to diagnose issues faster, improve service reliability, and elevate your observability practices. Jumpstart your journey into modern AIOps with us and transform the way you understand and troubleshoot cloud-native applications!
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Harshita is a DevOps Lab Engineer at KodeKloud. Her interest lies in DevOps, automation and observability.
She is particularly interested in logging and application monitoring, and has worked on and configured various observability stacks.
KodeKloud courses are designed for learners at different skill levels, from beginners to experienced IT professionals looking to develop or strengthen their technical skills.
Yes. Many KodeKloud courses include hands-on labs and practical exercises that let you apply what you learn in real-world environments.
Prerequisites vary by course. Each course page provides information about the recommended knowledge or experience you may need before starting.
Yes. KodeKloud courses are designed for self paced learning, so you can learn according to your schedule and revisit lessons and practice activities as needed.
Yes. KodeKloud can be accessed through supported web browsers and mobile devices, allowing you to learn from different devices.
Certificate availability depends on the course and your KodeKloud plan. Check the individual course page or your account for the applicable certificate details.
Course completion time varies depending on the course length, your prior experience, and how much time you spend on hands-on practice.
Yes. Courses that include hands-on labs allow you to practice concepts as you progress through the lessons.
Choose a course that matches your learning goals, review its requirements and curriculum, and select the available subscription option to start learning.