[Open Source] An Open-Source Big Data Platform That Simplifies Big Data Cluster Operations and Management on Kubernetes
Open SourceProcess Management
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1. Project Overview
CloudEonIt is an open-source big data platform based onKubernetes, designed to provide users with a simple, efficient, and scalable big data solution. The platform supports the deployment and management of various big data services, such as Hadoop, Doris, Spark, Flink, and Hive, meeting big data processing and analytics requirements for different scales and business needs.
2. Open Source License
Licensed under Apache-2.0
3. Screenshots
Overview of Page Features:








4. Feature Overview
Features
- Rapid Big Data Cluster Deployment: WithCloudEon, users can quickly deploy Hadoop clusters, Doris clusters, and other big data clusters on Kubernetes, eliminating the tedious process of manual installation and configuration.
- Containerized Execution of All Big Data Services:CloudEonAll big data services run in containers, making their deployment and management more flexible and convenient while taking better advantage of Kubernetes resource scheduling and management capabilities.
- Monitoring and Alerting Support:CloudEonProvides monitoring and alerting features to help users monitor cluster status in real time and identify and resolve issues promptly.
- Configuration Modification Support:CloudEonAlso provides configuration modification features, allowing users to manage and configure their big data clusters more flexibly.
- Automated Operations and Maintenance:CloudEonAutomated operations and maintenance reduces the complexity and labor costs of cluster management while improving cluster availability and stability.
- Visual Management Interface:CloudEonProvides a visual management interface that allows users to manage and monitor their big data clusters more intuitively.
- Flexible Extensibility: Provides a plugin mechanism that allows users to customize, extend, and install additional big data services. This plugin mechanism is implemented using open APIs and standardized interfaces, enabling users to quickly develop and integrate new services.
- Support for Multiple Big Data Services: In addition to Hadoop and Doris,CloudEonalso supports the deployment and management of various other big data services, such as Spark, Flink, Hive, and Kyuubi.
5. Tech Stack
Architecture

Implementation Approach

Acknowledgments
Thanks to the following excellent projects. Without them, CloudEon would not have been possible:
- Backend Technology Stack
- springboot-v2.7.4
- lombok-v1.18.12
- hutool-v5.8.9
- hibernate-v5.6.11
- freemarker-v2.3.31
- Frontend Technology Stack
- react
- ant-design
- Additional thanks to
- datasophon
- Ambari
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