wtf is cloudeon?

CloudEon is a tool that makes it easier to install and manage big data software on top of Kubernetes. If your team uses tools like Hadoop or Hive for large-scale data processing, CloudEon handles the deployment and ongoing upkeep so you can spend less time worrying about the underlying infrastructure. At a high level, the project sits on top of a Kubernetes cluster and handles the work of installing open-source big data components so they run in containers. The goal is to reduce how much manual effort goes into keeping the underlying resources running, letting you focus on the data work itself rather than the plumbing. The README doesn't go into step-by-step detail on exactly how each piece fits together, but the project provides official documentation for deeper guidance. The people who would use this are data engineers, platform teams, or anyone responsible for running big data clusters. A concrete example would be a company that needs to stand up a Hadoop cluster for batch processing or a Hive setup for querying large datasets, and wants to run it all on Kubernetes without manually configuring each service. Instead of treating each big data tool as a separate manual installation, CloudEon aims to centralize that management so adding or updating components becomes more straightforward. The project is part of the Dromara open-source community and draws inspiration from two notable efforts: Apache Ambari, for its approach to security management and extensible component packaging, and DataSophon, for its monitoring and alerting system. The backend is built with Spring Boot and the frontend with React and Ant Design, but the README keeps most of the focus on what the platform achieves rather than the technical details of how it is constructed.