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Mesos UI

An alternative web UI for Apache Mesos, built with :heart: and React.JS

Mesos UI

An alternative web UI for Apache Mesos, built with :heart: and React.JS

Author Avatar Theme by capgemini
Github Stars Github Stars: 217
Last Commit Last Commit: Sep 9, 2016 -
First Commit Created: Aug 8, 2025 -
Mesos UI screenshot

Overview

The Mesos UI is an innovative, responsive dashboard designed for monitoring and managing Apache Mesos environments. Built with modern technologies like Node.js and React.js, it offers users a real-time interface that enhances the overall usability of Mesos. Whether you’re running it as a standalone application or as a replacement for the existing Mesos UI, it promises to deliver a smoother experience for both developers and operations teams.

This dashboard not only integrates well with Apache Mesos but also provides an easy deployment process through Docker. Given its capabilities, it is a great addition for any organization relying on Mesos for their infrastructure needs.

Features

  • Responsive Design: The UI adjusts seamlessly across various devices and screen sizes, ensuring accessibility anywhere.

  • Realtime Updates: Users can monitor the status of their Mesos environment in real-time, allowing for more proactive management.

  • Standalone Mode: Easily run the application independently of the default Mesos UI, enhancing flexibility in deployment.

  • Docker Support: Quick and straightforward deployment using Docker, making setup and configuration hassle-free.

  • Network Compatibility: The ability to run in host networking mode allows for better integration with existing Mesos setups.

  • Feedback Loop: The developers actively seek feedback from organizations using the UI, promoting a user-driven development approach.

  • Multi-Cloud Ready: The application is designed to work across various cloud environments, giving users the versatility they need.

  • User-Friendly Interface: The modern design promotes ease of use, allowing users to navigate and manage their Mesos workload intuitively.