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on
1
Intro
2
Servicemashes
3
Context
4
Kubernetes
5
Downsides
6
Features
7
Tracing
8
Call graph
9
Tools
10
Fault injection
11
Kali
12
Kali dashboard
13
Microservices
14
Deployment
15
Calling the service
16
Local host
17
Find traces
18
Trace graph
19
Recap
20
Questions
21
Cyclical references
22
Conclusion
Description:
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. Read more

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

Devoxx
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