1. Project Introduction
Relaxed!ZooKeeper automates O&M and is a big data cloud-native platform
Second, the implementation of functions
Extremely easy to deploy. As a big data processing platform based on the open source ecosystem, Datasophon has a high degree of scalability and flexibility, and users only need to complete a simple initial environment configuration to complete the deployment of large-scale big data clusters. It supports thousands of node scales and can adapt to the needs of enterprises of different sizes.
Fully compatible with open source ecosystems.
Based on an open management architecture, DataSophon has integrated a variety of commonly used big data components, including data integration, data storage, computing engine, task scheduling, permission management and other aspects of big data processing. It is compatible with complex environments and supports commonly used Linux ecological operating systems.
Convenient O&M. Datasophon provides monitoring metrics based on production practices, which can easily monitor and operate clusters, nodes, and services, helping you greatly improve O&M efficiency. It also supports alarm group and alarm indicator management, and the monitoring indicators are comprehensive and rich, and users can customize alarm groups and alarm indicators according to the monitoring indicators.
Safe and reliable. In terms of data security, DataSophon supports Kerberos identity authentication and data encryption, and uses Ranger data access control to support data encryption and permission control to ensure data security. It has a high degree of reliability and can effectively avoid issues such as data loss and service interruption.
3. Technology selection
kafkahtml+css+js
sparkhdfs
zookeeper
5. Source code address
Private message reply: 100