Анализ сайта eng.uber.com
Основное Готовность: 100%
Домен
eng.uber.com
Состояние доменного имени
?
Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Используйте для продвижения только домен второго уровня.
Отличный запоминающийся домен.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
?
Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Сервер настроен корректно.
Цепочка редиректов:
http://eng.uber.com
301 MovedPermanently
https://eng.uber.com/
200 OK
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
?
HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 07.11.2026 2:59:59.
Сервер поддерживает HTTP/3 (QUIC) — новейший протокол.
Включён HSTS (Strict-Transport-Security) — защита от подмены на http.
HTTP автоматически перенаправляется на HTTPS.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
UTF-8
Кодировка символов страницы
?
Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице UTF-8.
Язык
en
Атрибут lang в HTML-теге
?
Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: en.
Скорость загрузки
~0,98сек
Время отклика сервера (TTFB)
?
Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 0,98сек оптимальна.
Объем документа
100Кб
Размер HTML-кода страницы
?
Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 100Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 5
Внешние ресурсы страницы (CSS, JS, изображения)
?
Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 5 достаточно.
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;700&display=swap | |
| stylesheet | styles2.css?v=2 | |
| js | https://unpkg.com/lenis@1.1.18/dist/lenis.min.js | |
| js | engine2.js | |
| js | main2.js |
Серверные заголовки
Кол-во: 15
HTTP-заголовки ответа сервера
?
Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 15шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Date | Fri, 21 Aug 2026 01:06:25 GMT |
| Vary | Accept-Encoding |
| Accept-Ranges | bytes |
| Cache-Control | public, max-age=86400 |
| ETag | "298f975cbab12191283de5cea7fdb1c2" |
| x-tb-source | terrablob |
| X-Frame-Options | SAMEORIGIN |
| x-envoy-upstream-service-time | 546 |
| Strict-Transport-Security | max-age=31536000 |
| X-Content-Type-Options | nosniff |
| Server | ufe |
| Via | 1.1 google |
| x-uber-edge-cdn-status | miss |
| x-uber-edge | dcfe:web:compute-0:dca51,ufe:production-gcp:compute-0:dca23,gcp:production:phx7 |
| Alt-Svc | h3=":443"; ma=2592000 |
CMS
Не определена
Система управления сайтом (движок)
?
CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
CMS не определена. Вероятно, сайт самописный либо движок надёжно скрыт. Это не ошибка.
Веб-сервер
ufe
Программное обеспечение сервера
?
Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
В заголовке Server указано: ufe.
Мета-теги Готовность: 32%
Title
Uber Engineering — Where the Digital World Meets the Physical One
Заголовок страницы в браузере и поисковой выдаче
?
Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо уменьшить число символов в title (текущее значение: 65, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
Описание страницы в поисковой выдаче (сниппет)
?
Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Установите мета-тег description!
Keywords
Список ключевых слов страницы (устаревший тег)
?
Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
Указывает поисковику основную версию страницы
?
Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Рекомендуем прописать канонический Url.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
?
Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
width=device-width, initial-scale=1.0
Настройка масштабирования на мобильных устройствах
?
Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Разметка OpenGraph
Не найдено
Мета-теги для красивых превью в соцсетях
?
OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph не задана. Страница не оптимизирована под социальные сети. Мета-теги с разметкой Og помогают социальным роботам лучше структурировать Ваш сайт.
Все мета-теги
Кол-во: 1
Полный список мета-тегов страницы
?
Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 1шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | viewport | width=device-width, initial-scale=1.0 |
Оптимизация Готовность: 82%
Структура
Ошибок нет
Семантические HTML-элементы страницы
?
Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют по одному на документ).
Контент
Ошибок нет
Объём и качество текстового содержимого
?
Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 9 встречаются в тексте достаточно.
Абзацев с текстом 70 достаточно.
Среднее число слов в абзаце 32 достаточно.
Кол-во знаков контента 23239 на странице оптимально.
Кол-во слов 3394 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
?
H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 1. Это прекрасно.
На странице присутствуют заголовки <h2> 6. Это хорошо.
На странице присутствуют заголовки <h3> 65.
Тошнота
5,29
Насколько одно слово доминирует в тексте
?
Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 5. Измените текст страницы!
Академич. тошнота
29,23%
Насколько текст перенасыщен ключевыми словами
?
Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота превышает норму 5-15%. Измените текст страницы!
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
?
Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| across | 28 | 0,82% |
| uber's | 25 | 0,74% |
| mobile | 18 | 0,53% |
| security | 16 | 0,47% |
| engineers | 14 | 0,41% |
| agentic | 13 | 0,38% |
| minutes | 11 | 0,32% |
| platform | 11 | 0,32% |
| real-time | 10 | 0,29% |
| engineer | 10 | 0,29% |
| foundation | 10 | 0,29% |
| backend | 10 | 0,29% |
| review | 9 | 0,27% |
| agents | 9 | 0,27% |
| system | 9 | 0,27% |
| physical | 7 | 0,21% |
| global | 7 | 0,21% |
| senior | 7 | 0,21% |
| building | 7 | 0,21% |
| service | 7 | 0,21% |
Индексация Готовность: 0%
Индексирование
Ошибок нет
Разрешено ли индексирование страницы
?
Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 130 оптимально. Поисковые роботы обязательно проиндексируют сайт.
Robots.txt
Не найден
Файл управления сканированием сайта роботами
?
Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Файл robots.txt не найден (ошибка 404). Крайне рекомендуем добавить файл robots.txt, это правило хорошего тона для поисковых роботов.
Sitemap
Кол-во: 0
XML-карта сайта для поисковиков
?
Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt не содержит ссылку на карту сайта. Рекомендуется добавить карту сайта и указать ссылку на нее в robots.txt.
Внутренние ссылки
Не найдено
Ссылки на другие страницы своего сайта
?
Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
Внутренних ссылок на странице 0 оптимально.
Внешние ссылки
Кол-во: 123
Ссылки на сторонние сайты
?
Исходящие внешние ссылки передают часть ссылочного веса на чужие сайты. Ссылки на авторитетные ресурсы безопасны; ссылки на мусорные сайты могут навредить репутации страницы.
Внешних ссылок на странице 123 слишком много. Спрячьте лишние ссылки в тег noindex или атрибут rel='nofollow'!
Показать первые 100 внешних ссылок
| Url | Анкор | Анализировать |
|---|---|---|
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Agentic Pods: embedding engineers to cut capital allocation from 15 hours to 30 minutes
|
Анализировать url |
| github.com |
<span class="ticker-badge oss">OSS</span> zap — 24.3k stars: Blazing fast structured logging for Go
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Senior ML Engineer, AV Foundation — frontier ML for autonomous vehicles
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber engineers named Agentic AI Foundation ambassadors, shaping open agent standards
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> GitFarm: Git-as-a-Service — sub-500ms checkouts, 80%+ resource savings
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Staff ML Engineer, Applied AI — foundation models across Mobility and Delivery
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber AV Labs at CVPR 2026: turning billions of real trips into training for Level 4 autonomy
|
Анализировать url |
| uber.com |
<span class="ticker-badge research">RESEARCH</span> Moirai: Lossless Straggler Mitigation — accepted at SOSP 2025
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> uReview: GenAI code review analyzing 90% of Uber's ~65K weekly changes
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber at the AI Engineer World's Fair: agentic SDLC, GenAI code review, and multimodal evals
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Senior Security Incident Commander — lead Uber's critical security response
|
Анализировать url |
| github.com |
<span class="ticker-badge oss">OSS</span> RIBs — 7.9k stars: Cross-platform mobile architecture framework
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber GenAI Meetup, Hyderabad: 80+ builders on trust, cost, and talent in the age of agents
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> Building Uber's Multi-Cloud Secrets Management Platform
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> UberMobiConf: 280+ engineers on reimagining mobile with AI and platform excellence
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Agentic Pods: embedding engineers to cut capital allocation from 15 hours to 30 minutes
|
Анализировать url |
| github.com |
<span class="ticker-badge oss">OSS</span> zap — 24.3k stars: Blazing fast structured logging for Go
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Senior ML Engineer, AV Foundation — frontier ML for autonomous vehicles
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber engineers named Agentic AI Foundation ambassadors, shaping open agent standards
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> GitFarm: Git-as-a-Service — sub-500ms checkouts, 80%+ resource savings
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Staff ML Engineer, Applied AI — foundation models across Mobility and Delivery
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber AV Labs at CVPR 2026: turning billions of real trips into training for Level 4 autonomy
|
Анализировать url |
| uber.com |
<span class="ticker-badge research">RESEARCH</span> Moirai: Lossless Straggler Mitigation — accepted at SOSP 2025
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> uReview: GenAI code review analyzing 90% of Uber's ~65K weekly changes
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber at the AI Engineer World's Fair: agentic SDLC, GenAI code review, and multimodal evals
|
Анализировать url |
| jobs.uber.com |
<span class="ticker-badge hiring">HIRING</span> Senior Security Incident Commander — lead Uber's critical security response
|
Анализировать url |
| github.com |
<span class="ticker-badge oss">OSS</span> RIBs — 7.9k stars: Cross-platform mobile architecture framework
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> Uber GenAI Meetup, Hyderabad: 80+ builders on trust, cost, and talent in the age of agents
|
Анализировать url |
| uber.com |
<span class="ticker-badge blog">BLOG</span> Building Uber's Multi-Cloud Secrets Management Platform
|
Анализировать url |
| linkedin.com |
<span class="ticker-badge news">NEWS</span> UberMobiConf: 280+ engineers on reimagining mobile with AI and platform excellence
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9jY2Q3YjZiMS01ODI3LTQ3MWYtYjM5OS05OGVjOWQwZmJkZTIucG5n" alt="GitFarm Git as a Service">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">GitFarm: Git as a Service for Large-Scale Monorepos</h3>
<p class="blog-card-excerpt">Cloning Uber's Go monorepo took 15 minutes and 40GB of disk, and thousands of clone operations overwhelmed Git servers. GitFarm delivers Git-as-a-Service over gRPC, with warm bare clones and ephemeral sandbox pools acquired in under 500ms. A read-heavy ownership service cut CPU 77%, memory 90%+, and startup from 20 minutes to under one.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8yNzBjMzQxMi05NDFlLTRiNGYtYTVmZC05N2I1MWE2MTJiNzQuanBlZw==" alt="Zone-Failure-Resilient OpenSearch">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">Zone-Failure-Resilient OpenSearch at Uber</h3>
<p class="blog-card-excerpt">When an entire availability zone fails, OpenSearch clusters risked data loss — and aggressive shard rebalancing destabilized the survivors. Uber introduced Isolation Groups mapped to physical zones with forced allocation awareness, keeping three shard copies balanced across groups and five cluster-manager nodes with auto-shrinking quorum. Result: 100% shard assignment, green health, and survival of a zone-plus-node failure.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9kYzY2MGQ2MS05NTkxLTQ3MjUtYmMyMy00NWFjZTAxZjI4N2EucG5n" alt="Verify with Wallet Identity Verification">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">Scaling Verify with Wallet for Identity Verification at Uber</h3>
<p class="blog-card-excerpt">Integrating Apple's Verify with Wallet across multiple Uber apps demanded strict per-use-case data scoping, government-backed certificate validation, and ISO/IEC 18013-5 compliance. Uber built a centralized Identity Verification Service that maps internal configs to PassKit objects, decrypts CBOR payloads via HPKE, validates MSO signatures and device bindings, and maintains an updatable registry of IACA root certificates for trust.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8yY2I1ZTY2OS00ZWRhLTQ0NzUtODUwZS1kMDJjZmNkZDJmNjIucG5n" alt="Modernizing Artifact Storage">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">Modernizing Artifact Storage at Uber</h3>
<p class="blog-card-excerpt">Uber's decade-old on-prem artifact store — serving 5+ petabytes of downloads monthly — risked write outages, silent replication failures, and multi-hour manual rebalancing. The team migrated to multi-region cloud blob storage behind a validation proxy that checks freshness via conditional HTTP requests against a MySQL metadata store. Egress fell over 99%, cutting artifact egress costs nearly 90% at 99.99% availability.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=552/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9hOTc0M2Q4Ni1kNzhmLTQ1OTUtODY5MC04NDkxNzM3MzAxYWQuanBlZw==" alt="Zero-Growth Stack in Go">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">Zero-Growth Stack, Real Gains: How Stack Allocation Can Save 10% CPU in Go</h3>
<p class="blog-card-excerpt">Go's default 2KB stack allocation triggered wasteful expansion cycles consuming 10% CPU in Uber's high-throughput services. The team built a profile-guided automation system reading CPU profiles and binary symbols to compute optimal per-service stack sizes. Result: CPU overhead dropped below 1%, enabling 16% efficiency gains while keeping memory overhead under 2% across 2M cores.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=552/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9lYTYzOGFiMC0yOGRhLTQwNWYtYWYwMy1hNTAyMTk3MDNlY2YucG5n" alt="Cloud Commitment Layers">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">BACKEND</span>
</div>
<h3 class="blog-card-title">The 5 Layers Every Cloud Commitment Depends On</h3>
<p class="blog-card-excerpt">Uber's decade-long cloud commitment — a distributed systems problem spanning 10-figure spend — required mastering five physical layers. The challenge: regional topology constraints, inelastic power limits, and egress economics compound silently into cost variances. The solution: systematic qualification of compute, SKU selection, and network topology upfront. Impact: eliminating technical debt before it scales; enabling portability across zones and regions in minutes.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy82ZDg1MzliMC04MmQ4LTQ4YWMtOGQ5Ni1lYWE2ZmIxMTkyNzAuanBlZw==" alt="Data Abstraction Layer">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Simplifying Data and Product Integrations with a Data Abstraction Layer</h3>
<p class="blog-card-excerpt">Building a new advertiser report took weeks to months because queries were tightly coupled to constantly evolving data schemas fragmented across sources. Uber's Data Abstraction Layer, an RPC service, maps logical tables to physical ones via declarative config, resolving joins and aggregations across OLAP, Hive, and Docstore. Report time-to-market dropped from multi-week to under two days — roughly 90%.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy80ZWRlMzQ1OS1lNGE2LTRlNWYtYWExOC00YWE5M2UwMWEzNGIucG5n" alt="Multiple Knapsack Optimization">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Beyond Prediction: Solving the Multiple Knapsack Problem at Scale</h3>
<p class="blog-card-excerpt">Allocating millions of incentive offers across Mobility and Delivery under strict quarterly budgets relied on a manual First-In-First-Out heuristic with no optimization. Tarot frames the problem as a Multiple Knapsack Problem, pairing uplift models and a budget pacer with a CP-SAT solver. Budget utilization climbed from 68% to 99.99%, and 100,000-user problems now solve in minutes instead of 24+ hours.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=552/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy80NWI5ZDE0Ni03NDg1LTQ2NzItOTUxNi0wY2VjY2ViZGFhOTUuanBlZw==" alt="Bounding Box Annotation Validation">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Validating Bounding Box Annotations</h3>
<p class="blog-card-excerpt">Human annotators introduce tracking errors — ID swaps, position jumps, freeze errors, scale distortions — when labeling video bounding boxes. Uber deployed an XGBoost classifier analyzing 283 visual, motion, and coordinate features across an 11-frame window to catch these failures automatically. The system flags errors in real-time before submission, eliminating costly sequential review workflows while preserving data integrity.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8yYmQ4MmY1Yy1kMjRhLTU2YzMtYmU3OS0wY2FiMzIxOGRhMmUucG5n" alt="Delivery Search Platform">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Evolution and Scale of Uber's Delivery Search Platform</h3>
<p class="blog-card-excerpt">Lexical search broke on Uber Eats — failing on synonyms, typos, and multilingual queries like "pan" (bread or cookware?). The new semantic stack: a two-tower deep network with a Qwen LLM backbone, trained via DeepSpeed ZeRO-3. Matryoshka embeddings cut storage 50% with under 0.3% quality loss; scalar quantization halves latency.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy83YTc2YmY3My1iMmYxLTU0NTgtOTlhNC1mODViNDBiY2ZlNTIuanBn" alt="Ads Personalization">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Transforming Ads Personalization with Sequential Modeling and Hetero-MMoE</h3>
<p class="blog-card-excerpt">Uber's ads system flattened rich behavioral sequences into summary stats and used MLP-only experts that missed cross-feature interactions. A target-aware transformer with Multi-Head Latent Attention captures sequences at O(N×L), and a Hetero-MMoE blends MLP, DCN, and CIN experts. Production gains: +0.93% pCTR AUC and +0.66% pCTO AUC.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9iMzFhOTNiMS1mY2UyLTViMWYtYmM3NC1hMTAzNzgyMjc3NmYucG5n" alt="Database Federation">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">DATA</span>
</div>
<h3 class="blog-card-title">Database Federation: Decentralized Hive Databases</h3>
<p class="blog-card-excerpt">16,000 datasets in one monolithic Hive metastore meant shared-fate blast radius — one bad operation could affect every team. Uber decomposed it into domain-specific databases via pointer-level metadata manipulation, achieving zero-downtime migration. Result: over 1 PB saved and the organizational independence teams needed to own their data contracts.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8xZDU1ODE5YS1mOWNlLTVkZjgtOGZiNy04YTgwZDk1YmZkZTMucG5n" alt="Design Specs Automation">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">How Uber Built an Agentic System to Automate Design Specs in Minutes</h3>
<p class="blog-card-excerpt">Manual design specs across UIKit, SwiftUI, Android XML, Compose, Web React, Go, and SDUI were a bottleneck causing constant documentation drift. uSpec combines AI agents with a Figma Console MCP bridge that reads real tokens and variants directly from Figma — running locally via Cursor over WebSocket. Screen reader specs across all 3 platforms now generate in under 2 minutes.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy84OWYzOGQ5Ny1iMmEyLTU0NWYtYjgxMi0zZmZkMTgwOTQ1ZjIuanBn" alt="Mobile Analytics">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">Standardized Mobile Analytics for Cross-Platform Insights</h3>
<p class="blog-card-excerpt">Over 40% of Uber's mobile events were ad-hoc custom logs, breaking cross-platform analysis and impression accuracy. The team standardized to three universal event types — tap, impression, scroll — using AnalyticsBuilder classes that capture metadata at the platform layer. Result: 30% less transient-impression noise and reliable iOS/Android parity.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy80YTEyMDQ2YS05ZjNhLTUxZjMtOWI0ZC1lNDU3MjU1YjUxZDAuanBlZw==" alt="Unified Checkout">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">Unified Checkout: Streamlining Uber's Payment Ecosystem</h3>
<p class="blog-card-excerpt">Every Uber line of business had built payments independently — duplicated logic, inconsistent UX, Apple Pay missing from half the flows. EU Strong Customer Authentication forced a reckoning. Uber built a centralized checkout orchestrator with modular components each LOB plugs into. Holdout results: 3% higher conversion, 4.5% better session recovery, hundreds of millions in incremental gross bookings.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8xYTVkN2M0OC1lNjM1LTU0MzAtYjEwOS05ZGE4YmY1OTQwNWYuanBlZw==" alt="Design System at Scale">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">Measuring Design System Adoption at Scale</h3>
<p class="blog-card-excerpt">Uber's Rider app launches features across hundreds of screens and thousands of feature flags — making manual design system audits impossible. Design System Observability adds a deterministic component scanner that flags non-Base elements, plus a daily screenshot pipeline that auto-files Jira tickets for violations. Teams using Base report 3x faster development and 50% less code.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy84YzM2M2FjOC0yNDQ4LTUzMDktYWFmZi01MjM5NGEwZTI4ZTAuanBlZw==" alt="Delegate Booking">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">Transforming Executive Travel: Delegate Booking</h3>
<p class="blog-card-excerpt">Letting executive assistants book rides for executives meant rethinking trip ownership, identity, billing, and notifications across 30+ backend services and 5 client platforms. Uber introduced a "participant model" extending every booking, tracking, and billing touchpoint to support multiple user profiles per trip — with full audit trails for both EA and executive.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy80YTRhZWQxNi04ZWI0LTVjOWUtYWQ3YS03Mzk2ZTQ5ZDBkZDAucG5n" alt="Uber Live Activity on iOS">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">MOBILE</span>
</div>
<h3 class="blog-card-title">Uber's Live Activity on iOS</h3>
<p class="blog-card-excerpt">Live Activities run sandboxed with no network access — yet Uber needed real-time driver location on the lock screen. App Groups share on-disk state between the main app and Live Activity, a lightweight DSL syncs content logic across iOS Live Activities and Android push, and an OOA backend debounces updates. Result: 2.26% fewer driver and 2.13% fewer rider cancellations at pickup.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8wMzFkYTAzNi01YjczLTQzYzQtYmQ2Ny0yOGZiZGMyNjhkYjQucG5n" alt="Cart Assistant on Uber Eats">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">Cart Assistant: Agentic Grocery Shopping on Uber Eats</h3>
<p class="blog-card-excerpt">Turning handwritten lists, recipe screenshots, and vague meal plans into a grocery cart forces users to hand-translate intent into dozens of searches. Uber Eats' Cart Assistant decomposes the task into an eight-stage state graph — LLM planning, candidate retrieval, semantic relevance judging, and deterministic price and quantity guardrails — processing items concurrently to keep the agentic shopping flow fast.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9jODA0ZmExOS0yM2Y5LTRmMjgtYmU1NS0zYjJiZDE4YWFhNjkuanBlZw==" alt="File Semantic Analyzer">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AI</h3>
<p class="blog-card-excerpt">Keyword-based data-loss prevention drowned analysts in false positives while missing real exfiltration across thousands of employees' files. Uber's File Semantic Analyzer uses fine-tuned LLMs — OCR, chunking, summarization, and entity extraction — to reason over file meaning and intent, with transparent justifications. False positives fell 97%, incident response dropped from hours to minutes, saving four person-years annually across 150,000 files.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy80NjdiZmE2Mi1jNDMzLTQ4NzMtYTU0OC04MjQ3YjI3ODdhMzYuanBlZw==" alt="Real-Time Traffic Forecasting">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer</h3>
<p class="blog-card-excerpt">Uber's legacy traffic system couldn't adapt to incidents, weather, and sparse rural roads where segment errors compound on long trips. DeepETT, a multi-view transformer, tokenizes pre-aggregated spatial and temporal observations for constant-time inference, with a Flink pipeline calibrating drift in real time. It serves 2M+ forecasts per second, improving long-trip accuracy 6% and variance explained 19% — $100M annualized value.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=552/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9mY2MwOGExMy0xNmM1LTQwZmEtYTQ2ZC02NzlkYzY5YzQ3YzEucG5n" alt="AI PRD Reviewer">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">Lessons from Building a First-Pass AI PRD Reviewer at Uber</h3>
<p class="blog-card-excerpt">Product review processes surfaced critical gaps too late, forcing teams into costly rework on unsupported assumptions and blind dependencies. Uber built an AI-powered PRD Evaluator that assembles contextual knowledge across linked documents, prior experiments, and company-specific frameworks to audit proposals before high-level review. Early adoption by dozens of PMs revealed stronger artifact quality entering checkpoints and sharper, faster review discussions.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9hZWZiYjNkNS1kZDJlLTRhNzgtYmJkMi1hZmNhYTQyNjdhN2EucG5n" alt="AI Prototyping">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">AI Prototyping Is Changing How We Build Products at Uber</h3>
<p class="blog-card-excerpt">Cross-functional alignment used to take weeks of meetings and PRDs. AI prototyping tools — Lovable, Figma Make, Claude Code, Cursor — compressed a merchant team's four-week discussion into two hours, and let a PM explore six concepts in 20 minutes. Nearly 40% of Uber's global hackathon submissions now incorporate these tools.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy81MzIyM2ZkNy1kNjMyLTVkYjgtOTAxYi01MTJmODQ0ZWE0MmEucG5n" alt="LLM Training">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">AI / ML</span>
</div>
<h3 class="blog-card-title">Open Source and In-House: How Uber Optimizes LLM Training</h3>
<p class="blog-card-excerpt">Training LLMs for Eats, support, and code gen at Uber means squeezing every GPU cycle. The stack: PyTorch, Ray, DeepSpeed ZeRO-3 CPU Offload (34% memory reduction, 2-7x batch sizes), and Flash Attention (50% memory savings). On H100, Mixtral 8x7b achieves 3x A100 throughput, scaling linearly to batch 64.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=407/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9mNTAxNTRjMy1hNjU4LTQ2YTQtODQ1Yi01ZTk4YTA4ZGE4MmYucG5n" alt="AI Agent Identity">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Solving the Identity Crisis for AI Agents</h3>
<p class="blog-card-excerpt">When AI agents delegate across systems, the original human's identity vanishes, breaking audit trails and fine-grained access control. Uber extended its Zero Trust architecture with an Agent Registry, a Security Token Service issuing short-lived single-hop JWTs carrying the full actor chain, and an MCP Gateway enforcing policy. Deployed across thousands of agents, token exchange stays under 40ms at P99.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy83N2I0YTMwNi0wYTMxLTU2NzYtYTg1Ni01OGM1YWFkYTE3NmMuanBn" alt="Superuser Gateway">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Superuser Gateway: Guardrails for Privileged Command Execution</h3>
<p class="blog-card-excerpt">A misplaced flag in a privileged `rm -r` could silently delete a production dataset with no audit trail. Superuser Gateway removes superuser credentials from engineers' machines entirely, routing privileged commands through a Git-backed PR workflow with CLI submission, CI validation, peer approval, and controlled remote execution. Now standard for all data platform admins.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9jYmJiOTZjZC0zYTkzLTViNjQtODkwMy0yMmVmZDRiMjJjYTIuanBn" alt="IAM Policy Safety">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Determinism and Safety in IAM Policy Changes</h3>
<p class="blog-card-excerpt">An accidental IAM change on a critical gateway once stopped Uber Eats customers from modifying orders — and ~10% of monthly policy changes involve risky privilege removal. The Policy Simulator pulls 30–90 days of access logs from Apache Pinot and replays them through current vs. proposed policies. Cadence-orchestrated, sub-minute impact analysis before anything ships.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy85NGQwNDE4ZS1hNTdiLTUzODItYmIxNi03ZTJiNGY5OTVhMGYucG5n" alt="Kerberos Keytab Rotation">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Automating Kerberos Keytab Rotation at Uber</h3>
<p class="blog-card-excerpt">Rotating 100,000+ Kerberos keytabs is risky: rotation invalidates the previous key immediately, leaving applications without valid credentials. Uber's solution generates keytabs with both old and new versions during transitions, drops fetch intervals to 30s, and integrates with the Secret Management Platform. Now rotates 30,000+ keytabs monthly with zero disruptions.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy8yYmQ1YWVlNy0zZTkwLTU5ZGItYjI2Ni1lMWNkYjkyMTNkYzYuanBn" alt="Secrets Management">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Multi-Cloud Secrets Management Platform</h3>
<p class="blog-card-excerpt">150,000 secrets across 25 fragmented vaults — no centralized detection, rotation, or attribution. Uber consolidated into 6 managed vaults, deployed real-time scanning across git/Slack/CI, and built a Cadence-orchestrated Secret Lifecycle Manager. A team of 10 now drives 20,000 automated monthly rotations with 90% fewer secrets exposed in pipelines.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
<img class="blog-card-img" loading="lazy" src="https://cn-geo1.uber.com/image-proc/crop/resizecrop/udam/format=auto/width=2304/height=0/srcb64=aHR0cHM6Ly90Yi1zdGF0aWMudWJlci5jb20vcHJvZC91ZGFtLWFzc2V0cy9iNDExMDJhOS0yZDU1LTUyM2YtYTYxZS01NGFmYTc5ZDEyMGIuanBn" alt="Hadoop GCS Security">
<div class="blog-card-body">
<div class="blog-card-top">
<span class="blog-card-category" style="--cat-color: #276EF1">SECURITY</span>
</div>
<h3 class="blog-card-title">Security for Hadoop Data Lake on Google Cloud Storage</h3>
<p class="blog-card-excerpt">Migrating 160+ PB from HDFS to GCS meant bridging Kerberos delegation tokens and GCP OAuth 2.0 — without changing any of thousands of analytical jobs. The Storage Access Service intercepts FileSystem calls, exchanges Hadoop tokens for time-bound GCP credentials, and caches across three layers. Handles 500,000+ RPS at 0.026ms average latency.</p>
<span class="blog-card-link">Read more →</span>
</div>
|
Анализировать url |
| uber.com |
View all posts
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,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" alt="Agentic AI at Uber">
<div class="news-body">
<h3 class="news-title">Inside Uber's Agentic Pods</h3>
<p class="news-excerpt">Uber embeds engineers alongside operators to hunt for AI wins hiding in plain sight. The results: capital allocation from 15 hours to 30 minutes, financial reports from two days to ten.</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,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" alt="Agentic AI Foundation">
<div class="news-body">
<h3 class="news-title">Uber Engineers Named Agentic AI Foundation Ambassadors</h3>
<p class="news-excerpt">Uber engineers Gaurav Goel and Sanjeev Suresh are named Agentic AI Foundation ambassadors — recognizing the technical leadership shaping open standards for how autonomous agents are built, secured, and governed.</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,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" alt="Uber AV Labs">
<div class="news-body">
<h3 class="news-title">Uber AV Labs at CVPR 2026</h3>
<p class="news-excerpt">Uber AV Labs took its work to CVPR 2026, showing how billions of real trips become training signal for Level 4 autonomy — mining long-tail driving scenarios at a scale few can match.</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,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" alt="AI Engineer World's Fair">
<div class="news-body">
<h3 class="news-title">Uber at the AI Engineer World's Fair</h3>
<p class="news-excerpt">Fresh from the AI Engineer World's Fair, Uber engineers recap their sessions on the agentic SDLC, GenAI code review, and multimodal agent evaluation — how AI now runs through Uber's engineering.</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCA4MDAgNDAwIiBmaWxsPSJub25lIj48ZGVmcz48bGluZWFyR3JhZGllbnQgaWQ9ImJnIiB4MT0iMCIgeTE9IjAiIHgyPSI4MDAiIHkyPSI0MDAiIGdyYWRpZW50VW5pdHM9InVzZXJTcGFjZU9uVXNlIj48c3RvcCBzdG9wLWNvbG9yPSIjMEIwRTE0Ii8+PHN0b3Agb2Zmc2V0PSIxIiBzdG9wLWNvbG9yPSIjMTQxQTI0Ii8+PC9saW5lYXJHcmFkaWVudD48cGF0dGVybiBpZD0iZ3JpZCIgd2lkdGg9IjQwIiBoZWlnaHQ9IjQwIiBwYXR0ZXJuVW5pdHM9InVzZXJTcGFjZU9uVXNlIj48cGF0aCBkPSJNNDAgMEgwVjQwIiBzdHJva2U9IiMxRTNBNUYiIHN0cm9rZS13aWR0aD0iMSIgc3Ryb2tlLW9wYWNpdHk9IjAuMzUiLz48L3BhdHRlcm4+PC9kZWZzPjxyZWN0IHdpZHRoPSI4MDAiIGhlaWdodD0iNDAwIiBmaWxsPSJ1cmwoI2JnKSIvPjxyZWN0IHdpZHRoPSI4MDAiIGhlaWdodD0iNDAwIiBmaWxsPSJ1cmwoI2dyaWQpIi8+PGcgc3Ryb2tlPSIjOUE0REZGIiBzdHJva2Utd2lkdGg9IjIiIHN0cm9rZS1vcGFjaXR5PSIwLjM1Ij48bGluZSB4MT0iNDAwIiB5MT0iMTg4IiB4Mj0iNDAwIiB5Mj0iNzAiLz48bGluZSB4MT0iNDAwIiB5MT0iMTg4IiB4Mj0iNTA2IiB5Mj0iMTA1Ii8+PGxpbmUgeDE9IjQwMCIgeTE9IjE4OCIgeDI9IjU1MCIgeTI9IjE4OCIvPjxsaW5lIHgxPSI0MDAiIHkxPSIxODgiIHgyPSI1MDYiIHkyPSIyNzEiLz48bGluZSB4MT0iNDAwIiB5MT0iMTg4IiB4Mj0iNDAwIiB5Mj0iMzA2Ii8+PGxpbmUgeDE9IjQwMCIgeTE9IjE4OCIgeDI9IjI5NCIgeTI9IjI3MSIvPjxsaW5lIHgxPSI0MDAiIHkxPSIxODgiIHgyPSIyNTAiIHkyPSIxODgiLz48bGluZSB4MT0iNDAwIiB5MT0iMTg4IiB4Mj0iMjk0IiB5Mj0iMTA1Ii8+PC9nPjxnIHN0cm9rZT0iIzVCOTNGNSIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjQwMCIgY3k9IjYzIiByPSI2IiBmaWxsPSIjNUI5M0Y1Ii8+PHBhdGggZD0iTTM4OSA4MSBhMTEgMTEgMCAwIDEgMjIgMCIvPjwvZz48ZyBzdHJva2U9IiM5QTRERkYiIHN0cm9rZS13aWR0aD0iMyIgZmlsbD0ibm9uZSIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIj48Y2lyY2xlIGN4PSI1MDYiIGN5PSI5NyIgcj0iNiIgZmlsbD0iIzlBNERGRiIvPjxwYXRoIGQ9Ik00OTUgMTE1IGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzVCOTNGNSIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjU1MCIgY3k9IjE4MSIgcj0iNiIgZmlsbD0iIzVCOTNGNSIvPjxwYXRoIGQ9Ik01MzkgMTk5IGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzlBNERGRiIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjUwNiIgY3k9IjI2NCIgcj0iNiIgZmlsbD0iIzlBNERGRiIvPjxwYXRoIGQ9Ik00OTUgMjgyIGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzVCOTNGNSIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjQwMCIgY3k9IjI5OSIgcj0iNiIgZmlsbD0iIzVCOTNGNSIvPjxwYXRoIGQ9Ik0zODkgMzE3IGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzlBNERGRiIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjI5MyIgY3k9IjI2NCIgcj0iNiIgZmlsbD0iIzlBNERGRiIvPjxwYXRoIGQ9Ik0yODIgMjgyIGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzVCOTNGNSIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjI1MCIgY3k9IjE4MSIgcj0iNiIgZmlsbD0iIzVCOTNGNSIvPjxwYXRoIGQ9Ik0yMzkgMTk5IGExMSAxMSAwIDAgMSAyMiAwIi8+PC9nPjxnIHN0cm9rZT0iIzlBNERGRiIgc3Ryb2tlLXdpZHRoPSIzIiBmaWxsPSJub25lIiBzdHJva2UtbGluZWNhcD0icm91bmQiPjxjaXJjbGUgY3g9IjI5MyIgY3k9Ijk3IiByPSI2IiBmaWxsPSIjOUE0REZGIi8+PHBhdGggZD0iTTI4MiAxMTUgYTExIDExIDAgMCAxIDIyIDAiLz48L2c+PHBhdGggZD0iTTQwMCAxMzggQzQwOCAxNzYgNDEyIDE4MCA0NTAgMTg4IEM0MTIgMTk2IDQwOCAyMDAgNDAwIDIzOCBDMzkyIDIwMCAzODggMTk2IDM1MCAxODggQzM4OCAxODAgMzkyIDE3NiA0MDAgMTM4IFoiIGZpbGw9IiMyNzZFRjEiLz48cGF0aCBkPSJNNDcwIDE1MCBDNDc0IDE2NCA0NzYgMTY2IDQ5MCAxNzAgQzQ3NiAxNzQgNDc0IDE3NiA0NzAgMTkwIEM0NjYgMTc2IDQ2NCAxNzQgNDUwIDE3MCBDNDY0IDE2NiA0NjYgMTY0IDQ3MCAxNTAgWiIgZmlsbD0iIzlBNERGRiIvPjx0ZXh0IHg9IjQwIiB5PSIzNjIiIGZpbGw9IiM1QjY2NzMiIGZvbnQtZmFtaWx5PSJ1aS1tb25vc3BhY2UsTWVubG8sbW9ub3NwYWNlIiBmb250LXNpemU9IjIwIiBsZXR0ZXItc3BhY2luZz0iMyI+Ly8gQ09NTVVOSVRZPC90ZXh0Pjwvc3ZnPg==" alt="Uber GenAI Meetup">
<div class="news-body">
<h3 class="news-title">Uber GenAI Meetup: Hyderabad</h3>
<p class="news-excerpt">Over 80 AI practitioners, engineers, and builders filled Uber's Hyderabad office for technical talks and a panel on "Beyond the Prototype: Trust, Cost, and Talent in the Age of Agents."</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| linkedin.com |
<img class="news-img" loading="lazy" src="data:image/svg+xml;base64,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" alt="UberMobiConf mobile engineering event">
<div class="news-body">
<h3 class="news-title">UberMobiConf: Mobile, Reimagined</h3>
<p class="news-excerpt">Uber India Tech's largest external event yet brought 280+ engineers together in person, plus a global webinar audience, to tackle AI agents, developer productivity, and app performance — "Mobile Reimagined."</p>
<span class="news-link">Read more →</span>
</div>
|
Анализировать url |
| arxiv.org |
<span class="research-venue">ICSE-SEIP 2026</span>
<h3 class="research-title">Scaling Mobile Chaos Testing with AI-Driven Test Execution</h3>
<p class="research-excerpt">Mobile applications in large-scale distributed systems are susceptible to backend service failures, yet traditional chaos engineering approaches cannot scale mobile testing due to the complexity of end-to-end test environments.</p>
<span class="research-link">Continue reading →</span>
|
Анализировать url |
| dl.acm.org |
<span class="research-venue">SOSP 2025</span>
<h3 class="research-title">Moirai: Optimizing Placement of Data and Compute in Hybrid Clouds</h3>
<p class="research-excerpt">The deployment of large-scale data analytics between on-premise and cloud sites requires careful partitioning of both data and computation to avoid massive networking costs and performance degradation.</p>
<span class="research-link">Continue reading →</span>
|
Анализировать url |
| arxiv.org |
<span class="research-venue">ICSE 2025</span>
<h3 class="research-title">CI at Scale: Lean, Green, and Fast</h3>
<p class="research-excerpt">Maintaining a "green" mainline branch — where all builds pass successfully — is crucial but challenging in fast-paced, large-scale software development environments, particularly with concurrent code changes in large monorepos.</p>
<span class="research-link">Continue reading →</span>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">zap</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Blazing fast, structured, leveled logging in Go.</p>
<div class="oss-stats"><span class="oss-stars">24.3k stars</span><span class="oss-forks">1.5k forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">Go Style Guide</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">The Uber Go Style Guide — patterns and conventions for writing clean, idiomatic Go.</p>
<div class="oss-stats"><span class="oss-stars">17.3k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">Base Web</h3><span class="oss-lang">TypeScript</span></div>
<p class="oss-desc">React Component library implementing the Base design language.</p>
<div class="oss-stats"><span class="oss-stars">8.9k stars</span><span class="oss-forks">865 forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">react-vis</h3><span class="oss-lang">JavaScript</span></div>
<p class="oss-desc">Data Visualization Components for React.</p>
<div class="oss-stats"><span class="oss-stars">8.8k stars</span><span class="oss-forks">834 forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">RIBs</h3><span class="oss-lang">Kotlin</span></div>
<p class="oss-desc">Cross-platform mobile architecture framework powering the Uber rider and driver apps.</p>
<div class="oss-stats"><span class="oss-stars">7.9k stars</span><span class="oss-forks">910 forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">fx</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Dependency injection based application framework for Go.</p>
<div class="oss-stats"><span class="oss-stars">7.4k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">Kraken</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">P2P Docker registry capable of distributing TBs of data in seconds.</p>
<div class="oss-stats"><span class="oss-stars">6.6k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">H3</h3><span class="oss-lang">C</span></div>
<p class="oss-desc">Hexagonal hierarchical geospatial indexing system.</p>
<div class="oss-stats"><span class="oss-stars">6.0k stars</span><span class="oss-forks">556 forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">CausalML</h3><span class="oss-lang">Python</span></div>
<p class="oss-desc">Uplift modeling and causal inference with machine learning algorithms.</p>
<div class="oss-stats"><span class="oss-stars">5.7k stars</span><span class="oss-forks">852 forks</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">goleak</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Goroutine leak detector for Go.</p>
<div class="oss-stats"><span class="oss-stars">5.1k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">automaxprocs</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Automatically set GOMAXPROCS to match Linux container CPU quota.</p>
<div class="oss-stats"><span class="oss-stars">4.8k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">ratelimit</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Blocking leaky-bucket rate limit implementation.</p>
<div class="oss-stats"><span class="oss-stars">4.7k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">dig</h3><span class="oss-lang">Go</span></div>
<p class="oss-desc">Reflection based dependency injection toolkit for Go.</p>
<div class="oss-stats"><span class="oss-stars">4.4k stars</span></div>
|
Анализировать url |
| github.com |
<div class="oss-card-header"><h3 class="oss-name">NullAway</h3><span class="oss-lang">Java</span></div>
<p class="oss-desc">Eliminate NullPointerExceptions with low build-time overhead.</p>
<div class="oss-stats"><span class="oss-stars">4.0k stars</span><span class="oss-forks">330 forks</span></div>
|
Анализировать url |
| jobs.uber.com |
San Francisco
|
Анализировать url |
| jobs.uber.com |
Seattle
|
Анализировать url |
| jobs.uber.com |
New York
|
Анализировать url |
| jobs.uber.com |
Amsterdam
|
Анализировать url |
| jobs.uber.com |
Bangalore
|
Анализировать url |
| jobs.uber.com |
Sao Paulo
|
Анализировать url |
| jobs.uber.com |
Toronto
|
Анализировать url |
| jobs.uber.com |
Hyderabad
|
Анализировать url |
| uber.com |
View Open Roles
|
Анализировать url |
| jobs.uber.com |
<span class="role-team">AV Labs</span>
<h3 class="role-title">Senior ML Engineer – AV Foundation</h3>
<p class="role-desc">Drive frontier ML research for autonomous vehicles — design novel modeling approaches and own the full lifecycle from data preparation through deployment. Based in Sunnyvale.</p>
<span class="role-cta">Apply now →</span>
|
Анализировать url |
| jobs.uber.com |
<span class="role-team">Applied AI</span>
<h3 class="role-title">Staff ML Engineer – Applied AI</h3>
<p class="role-desc">Define and lead foundation model strategy for AI-powered discovery across Mobility and Delivery — shape technical direction and mentor senior engineers at global scale.</p>
<span class="role-cta">Apply now →</span>
|
Анализировать url |
| jobs.uber.com |
<span class="role-team">Security</span>
<h3 class="role-title">Senior Security Incident Commander</h3>
<p class="role-desc">Lead Uber's critical security incidents end-to-end — balance real-time command decisions with deep technical investigation, then drive systemic fixes through post-incident analysis.</p>
<span class="role-cta">Apply now →</span>
|
Анализировать url |
| uber.com |
About us
|
Анализировать url |
| uber.com |
Our offerings
|
Анализировать url |
| uber.com |
Newsroom
|
Анализировать url |
| investor.uber.com |
Investors
|
Анализировать url |
Конкуренты Готовность: 0%
Конкуренты в Яндексе
Кол-во: 0
Топ сайтов-конкурентов в Яндексе
?
Сайты, чаще всего появляющиеся в ТОПе Яндекса по запросам из семантического ядра этой страницы.
Мы не нашли у вас конкурентов в Яндексе. Сайт или очень молодой или плохо продвигается.
Конкурентов в ТОП-10 Яндекса не нашлось.
Конкуренты в Google
Кол-во: 0
Топ сайтов-конкурентов в Google
?
Сайты, чаще всего появляющиеся в ТОПе Google по запросам из семантического ядра этой страницы.
Конкуренты в Google тоже не найдены. Займитесь продвижением сайта!
Конкурентов в ТОП-10 Google не нашлось.
ЗоЗПП: права потребителей Готовность: 100%
Нарушения
Не выявлены
Признаков дистанционной продажи товаров (интернет-магазина) не обнаружено — требования ЗоЗПП о раскрытии информации продавца к сайту не применяются. Нарушений нет.
ФЗ-149: рекомендательные технологии Готовность: 100%
Нарушения
Не выявлены
Рекомендательные блоки («с этим покупают», «похожие товары» и т.п.) на сайте не обнаружены — требования ст. 10.7 ФЗ-149 к сайту не применяются. Нарушений нет.
ФЗ-38: реклама Готовность: 100%
Нарушения
Не выявлены
Рекламных тематик с обязательными оговорками (медицина, БАД, кредиты и займы, новостройки) на сайте не обнаружено. Нарушений нет.
ФЗ-436: защита детей Готовность: 100%
Нарушения
Не выявлены
Признаков информационной продукции (новости, видео, книги, игры, курсы) не обнаружено — обязательная возрастная маркировка по ФЗ-436 сайту не требуется. Нарушений нет.
Вердикт
Таким сайт eng.uber.com видят поисковые системы. Процент оптимизации невысокий - 54%. Чтобы улучшить сайт и попасть в ТОП необходимо:
Исправьте ошибки в мета-тегах.
Исправьте ошибки индексации.
Поделитесь с друзьями: