Observing Chaos - How Distributed Tracing Brings Observability to a Service Mess

Explore the world of distributed tracing and its role in bringing observability to service mesh environments in this 46-minute conference talk. Dive into the challenges of managing microservices complexity and learn how distributed tracing can help regain visibility lost when delegating networking decisions to service mesh tools. Discover the basics of service meshes and distributed tracing, with a focus on Istio and Jaeger. Follow along as an application composed of microservices is deployed, demonstrating how distributed tracing provides insights into individual requests. Gain valuable knowledge about the observability trade-offs when adopting service mesh tools and strategies to address them. Ideal for those with some familiarity with Kubernetes, this talk covers topics such as context, fault injection, Kiali dashboard, microservices deployment, trace graphs, and cyclical references. Presented by Juraci Paixão Kröhling, a Red Hat software engineer and Jaeger project maintainer, this session concludes with a Q&A to address audience questions.

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