![[Uber Open Summit 2018] Building Your Own Metrics Pipeline with M3 @UberEngineering](https://i.ytimg.com/vi/cHx4DuqINTM/maxresdefault.jpg)
Uploaded November 2018 | Updated September 2026, 2 weeks ago
To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems. As part of our robust and scalable metrics infrastructure, we built M3, an open source metrics platform that has been in use at Uber for several years now. During this talk, engineer Nikunj Aggarwal walks through what a general metrics pipeline looks like and how M3 components can be used for the various stages of the pipeline without locking you in to a particular vendor. He also covers some of the unique challenges we face at Uber’s scale and how the learnings from those can be used by other companies.
Learn more about Uber Open Source: uber.github.io
To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems. As part of our robust and scalable metrics infrastructure, we built M3, an open source metrics platform that has been in use at Uber for several years now. During this talk, engineer Nikunj Aggarwal walks through what a general metrics pipeline looks like and how M3 components can be used for the various stages of the pipeline without locking you in to a particular vendor. He also covers some of the unique challenges we face at Uber’s scale and how the learnings from those can be used by other companies.
Learn more about Uber Open Source: uber.github.io
![[Uber Open Summit 2018] Building Your Own Metrics Pipeline with M3](https://i.ytimg.com/vi/cHx4DuqINTM/mqdefault.jpg "[Uber Open Summit 2018] Building Your Own Metrics Pipeline with M3
To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems. As part of our robust and scalable metrics infrastructure, we built M3, an open source metrics platform that has been in use at Uber for several years now. During this talk, engineer Nikunj Aggarwal walks through what a general metrics pipeline looks like and how M3 components can be used for the various stages of the pipeline without locking you in to a particular vendor. He also covers some of the unique challenges we face at Uber’s scale and how the learnings from those can be used by other companies.
Learn more about Uber Open Source: https://uber.github.io/")
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In this presentation during a March 2018 meetup, staff engineer Brian Attwell introduces Nanoscope, a method tracing tool for Android that improves app performance.
Read the Eng Blog article: https://eng.uber.com/nanoscope/")
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While Netflix uses simple charts in various applications across, there are analytical views that require complex charts. During our June 2018 Visualization Night, Netflixs Elijah Meeks explores the design and implementation of network visualization to represent flow of Netflix users through different aspects of the product.")
