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I was looking around for case studies about companies using Node and ran across this one. Uber's architecture involves Node. This discussion is a look at how the decisions were made to change the architecture. It also talks about how it was tested, how long it took to implement (6 months) and since I am a huge Uber fan, I found it interesting. I hope you do, too.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing across servers, workloads, and cloud SKUs, helping teams validate changes, identify regressions, and optimize resources. Future plans include AI integration, anomaly detection, and continuous validation.
By Leela Kumili
Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the 4 stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.
By Beth AndersonIn this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gilad Shoham about building effective mentorship relationships, leading fully distributed teams and the evolving role of developers in an AI-augmented future.
By Gilad Shoham
Spotify has introduced the Experiments with Learning (EwL) metric on top of its Confidence experimentation platform to measure how many tests deliver decision-ready insights, not just how many “win.” EwL captures both the quantity and quality of learning across product teams, helping them make faster, smarter product decisions at scale. The outcome must support one action: ship, abort, or iterate.
By Olimpiu Pop
Tracy Bannon's QCon AI NY 2025 talk revealed how the rise of AI agents risks amplifying common architectural failures. She emphasized the distinctions between bots, assistants, and agents, highlighting the need for governance, clear identity controls, and disciplined decision-making to address “agentic debt.” Bannon called for architects to apply foundational principles amid rapid AI adoption.
By Andrew Hoblitzell
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