Tag: Jaeger
Introducing Uber’s Open Source Principles
Uber shares our principles and goals for using and contributing open source software, providing visibility into our company's approach to open source.
Uber Open Source in 2019: Community Engagement and Contributions
Uber recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
Optimizing Observability with Jaeger, M3, and XYS at Uber
Uber’s observability engineers present their work on distributed tracing (Jaeger), sampling (XYS), and metrics processing (M3).
Building Locally, Scaling Globally: Meet the Tech Team at Uber New York City
Ever wondered what it’s like to work in tech at Uber New York City? Just blocks from Times Square and Bryant Park, Uber’s new office in midtown Manhattan is home to more than a dozen teams, hundreds of employees (and growing), and a wide variety of engineering roles.
Year in Review: 2018 Highlights from Uber Open Source
Brian Hsieh, Uber's Open Source program lead, reflects on open source accomplishments, project launches, and collaborations in 2018.
Observability at Scale: Building Uber’s Alerting Ecosystem
Uber’s Observability team built a robust, scalable metrics and alerting pipeline to detect, mitigate, and notify engineers of issues as they occur.
Uber Joins the Linux Foundation as a Gold Member
Announced during the Uber Open Summit 2018, we extend our commitment to open source by joining the Linux Foundation as a Gold Member.
Preview 7 Open Source Projects from the Uber Open Summit
Uber open source projects leads give updates on seven of our projects, all of which will be showcased at the upcoming Uber Open Summit 2018.
Open Source at Uber: A Conversation with Yuri Shkuro, Jaeger Project Lead
Yuri Shkuro dicusses his journey to open source at Uber, his experience developing Jaeger, our open source distributed tracing system, and how to grow an open source community from scratch.
Announcing Uber Open Summit 2018: Collaboration at Scale
Keynote speakers include Jim Zemlin, executive director of the Linux Foundation, and Zoubin Ghahramani, chief scientist at Uber AI Labs.
Introducing QALM, Uber’s QoS Load Management Framework
Uber Engineering built QALM, a smart load management tool allowing for graceful degradation by preserving critical system requests and shedding non-critical requests.
Year in Review: 2017 Highlights from Uber Open Source
As we approach the New Year, Uber Open Source revisits some of Uber Engineering's most popular projects from 2017.
Engineering Uber’s On-Call Dashboard
Uber Engineering's On-Call Dashboard provides real-time incident response, shift maintenance, and post-mortem analysis for an improved on-call experience.
Evolving Distributed Tracing at Uber Engineering
This article is about developing Uber Engineering's open source distributed tracing system, Jaeger.
