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Overview
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This course aims to teach learners how distributed tracing can bring observability to a service mesh environment. By using tools like Istio and Jaeger, participants will explore the networking decisions made within a microservices architecture. The course covers topics such as the compromises in observability when using service mesh tools, how to address them, and the practical application of distributed tracing in understanding individual requests. The teaching method includes a mix of theoretical explanations, tool demonstrations, and practical examples. This course is intended for individuals with some familiarity with Kubernetes and an interest in enhancing observability within service mesh environments.
Syllabus
Intro
Servicemashes
Context
Kubernetes
Downsides
Features
Tracing
Call graph
Tools
Fault injection
Kali
Kali dashboard
Microservices
Deployment
Calling the service
Local host
Find traces
Trace graph
Recap
Questions
Cyclical references
Conclusion
Taught by
Devoxx