Uber Eats for Merchants

184 Bewertungen

Uber Eats ist der einfache Weg, das Essen, das Sie lieben, geliefert zu bekommen.

Uber for Business

93 Bewertungen

Eine All-in-One-Lösung, die vereinfacht, wie sich Ihre Organisation fortbewegt.

Jaeger

15 Bewertungen

Jaeger, inspiriert von Dapper und OpenZipkin, ist ein verteiltes Tracing-System, das von Uber Technologies als Open Source veröffentlicht wurde. Es kann zur Überwachung von mikroservicebasierten Architekturen verwendet werden.

Uber Freight

15 Bewertungen

Mit führender Technologie, größerer Transparenz und mehr Möglichkeiten gewinnen sowohl Versender als auch Frachtführer.

Post Intelligence

1 Bewertung

Ein intelligenter Social-Media-Assistent

Uberalls

1 Bewertung

Uberalls is an open-source code coverage metric storage service designed to integrate seamlessly with Jenkins and Phabricator. It enables developers to track and compare code coverage metrics across differentials, similar to how Coveralls functions for GitHub and TravisCI. Key Features and Functionality: - Code Coverage Tracking: Stores and manages code coverage data, facilitating comprehensive analysis of test coverage. - Jenkins Integration: Works in conjunction with Jenkins to record Cobertura data during master runs and compare coverage against base revisions on differentials. - Phabricator Integration: Provides coverage metrics on differentials within Phabricator, enhancing code review processes. - Flexible Database Support: Supports multiple databases, including SQLite and MySQL, allowing adaptability to various project requirements. - Open Source: Released under the MIT license, offering transparency and flexibility for customization. Primary Value and Problem Solved: Uberalls addresses the challenge of maintaining high code quality by providing developers with detailed insights into code coverage changes during the development lifecycle. By integrating with Jenkins and Phabricator, it automates the process of tracking and comparing code coverage metrics, enabling teams to identify untested code sections promptly. This proactive approach ensures that new code contributions meet established quality standards, ultimately leading to more robust and reliable software.