RAFT

The RAFT (Raft Algorithm – Fast Tracker) project is a collaborative effort by a team of researchers and developers to improve the data processing capabilities of large-scale distributed systems.

Using the Raft consensus algorithm, the RAFT team has designed a high-performance distributed tracker that allows real-time monitoring and control of data flows at scale. The algorithm ensures reliable and efficient replication of data across multiple nodes in a network, providing fault tolerance and scalability to the system.

In addition to its core functionalities, the RAFT project includes a user-friendly web-based dashboard for data visualization, which enables users to track data movements and analyze system performance in real-time. The dashboard is customizable and allows users to easily configure and manage their monitoring settings.

The RAFT team has also developed a set of APIs that allow for easy integration with other monitoring tools and applications. These APIs provide seamless access to the tracker's data and status information, making it easy to use with a wide variety of systems.

• Real-time monitoring and control of data flows at scale
• Reliable and efficient replication of data across multiple nodes
• User-friendly web-based dashboard for data visualization
• Customizable settings for monitoring configuration
• Set of APIs for easy integration with other systems

The RAFT team is committed to providing an open-source, community-driven project that can be used by anyone, regardless of their technical expertise. They actively encourage feedback and contributions from the community to continually improve the project's capabilities and ensure its continued success.