Distributed Tracing at Uber-Scale - OpenObservability TalksS1E4

The fourth of our OpenObservability Talks has Albert Teoh from the Jaeger project.

Distributed tracing has been gaining momentum with the growing popularity of microservices. Jaeger is a popular open source tool originally developed at Uber and now part of the CNCF (Cloud Native Computing Foundation).

Albert had been working at Uber for the past 2.5 years, where he got hands-on with Jaeger. On this talk Albert will share with us his experience with distributed tracing, from introducing it into new code all the way to production. Albert will explain important concepts and considerations, and will discuss common challenges and solutions in introducing distributed tracing in an existing large scale system.

This was first streamed on 24 September 2020 and the full video is available at https://youtu.be/35aInRLbTQo

The live recording of the OpenObservability talks is the last Thursday of each month, and you can join us on Twitch or YouTube Live. 

Socials:

Twitter: https://twitter.com/OpenObserv 

YouTube: https://www.youtube.com/channel/UCLKOtaBdQAJVRJqhJDuOlPg

Resources:

why Jaeger was built by Uber Engineering: https://eng.uber.com/distributed-tracing/

Domain oriented microservice architecture: https://eng.uber.com/microservice-architecture/

Reference to resource usage attribution, from the book "Mastering Distributed Tracing" by Yuri Shkuro: https://subscription.packtpub.com/book/networking_and_servers/9781788628464/2/ch02lvl1sec28/resource-usage-attribution

CNCF published the second quarterly CNCF End User Technology Radars; the topic for this Technology Radar is observability https://www.cncf.io/blog/2020/09/11/cncf-end-user-technology-radar-observability-september-2020/

Crtex & Thanos voted into CNCF incubation https://www.cncf.io/blog/2020/08/20/toc-welcomes-cortex-as-an-incubating-project/  https://www.cncf.io/blog/2020/08/19/toc-approves-thanos-from-sandbox-to-incubation/

Kubernetes v1.19 release offers structured logs for the system components https://logz.io/blog/a-practical-guide-to-kubernetes-logging/