@GergelyOrosz: Since this tweet, Uber has had overall fewer services across the company, fwiw. That is, in 2026, Uber has fewer servic…
Summary
Gergely Orosz reveals that Uber now operates fewer microservices in 2026 than it did in 2020, continuing the industry shift toward well-sized "macroservices" to reduce maintenance overhead. More details will come in an upcoming podcast with Uber engineer Uday Kiran Medisetty.
View Cached Full Text
Cached at: 10/04/26, 07:15 PM
Since this tweet, Uber has had overall fewer services across the company, fwiw.
That is, in 2026, Uber has fewer services / microservices than they did in 2020
More details to come in a podcast with Uday Kiran Medisetty, DE at the company, in ~2 weeks’ time
Gergely Orosz (@GergelyOrosz): For the record, at Uber, we’re moving many of our microservices to what @copyconstruct calls macroservices (wells-sized services).
Exactly b/c testing and maintaining thousands of microservices is not only hard - it can cause more trouble long-term than it solves the short-term.
Similar Articles
@GergelyOrosz: What do developer tools look like inside Uber, today? They are very different from what you would see at most places. W…
Pragmatic Engineer 作者 Gergely Orosz 与 Uber 资深工程师 Uday Kiran Medisetty 带领观众了解 Uber 内部高度定制化的开发者工具体系,涵盖 DevPods、面向 AI agent 的构建、MCP gateway、Model Gateway、Agent Skills 仓库以及 PR 分类衡量方式等。
Uber Cuts 3,300 Roles, Thins Managers 20% to Fund Robotaxi Push
Uber is cutting 3,300 jobs and reducing management layers by 20% to streamline operations and reinvest savings into growth, particularly in autonomous vehicle technology, with over $10 billion committed to robotaxi partnerships.
@UberEng: https://x.com/UberEng/status/2093444169037762840
Uber details their 'Software Factory' vision, where AI agents manage over 70% of pull requests and achieve significant cost reductions through optimized AI usage across the software development lifecycle.
Uber's COO says it's getting harder to justify the money spent on AI tokenmaxxing
Uber COO Andrew Macdonald says the company is finding it harder to justify AI token spending as higher usage hasn't translated into proportional consumer features, highlighting a growing corporate skepticism toward AI investment.
@GergelyOrosz: Oh, as I gathered, one of the last nails in the coffin for PD was… reliability. Lack of, that is. Uber started to measu…
Uber is dropping PagerDuty after 12+ years due to reliability issues in alerting, highlighting the importance of reliability for infrastructure tools.