Easily and quickly build big data clusters such as offline data warehouses, real-time data warehouses, and data lakes without complicated configuration files and cumbersome deployment processes. Make it easy to build big data clusters and run them efficiently.
Build a real-time monitoring system with Prometheus and Grafana, and customize the monitoring dashboard based on rich big data industry experience. Help O&M personnel intuitively understand data, capture trends, and achieve accurate and efficient intelligent O&M.
It integrates tens of thousands of profiles, logs and audit information from different components and platforms, and provides a visual interface for viewing, modifying, rolling back and downloading. Help operations personnel more intuitively and efficiently locate problems and troubleshoot them to ensure the security and availability of big data clusters.
Easily and quickly build big data clusters such as offline data warehouses, real-time data warehouses, and data lakes without complicated configuration files and cumbersome deployment processes. Make it easy to build big data clusters and run them efficiently.
Business Pain Points
A major pain point for big data cluster deployment and O&M management is the daily management of complex configuration information and complex components. In the cluster build phase, it involves the configuration and file distribution of the multi-node environment; while routine maintenance involves monitoring information, log management, performance optimization, and fault handling. If there is no professional operation and maintenance control platform, it will not only increase the operation and maintenance costs of the enterprise, but also may affect the effect of monitoring and operation and maintenance, thereby endangering the continuity of clusters and services.
Business Value
One-stop O&M platform to reduce O&M manpower investment and reduce O&M management costs. Provide visual indicators monitoring, log query, configuration modification and other functions to simplify the general operation and maintenance process. Through the visual interface and automation tools, problems can be identified and solved more quickly, reducing failure response time and improving operation and maintenance efficiency.
Business Pain Points
A major pain point for big data cluster deployment and O&M management is the daily management of complex configuration information and complex components. In the cluster build phase, it involves the configuration and file distribution of the multi-node environment; while routine maintenance involves monitoring information, log management, performance optimization, and fault handling. If there is no professional operation and maintenance control platform, it will not only increase the operation and maintenance costs of the enterprise, but also may affect the effect of monitoring and operation and maintenance, thereby endangering the continuity of clusters and services.
Business Value
One-stop O&M platform to reduce O&M manpower investment and reduce O&M management costs. Provide visual indicators monitoring, log query, configuration modification and other functions to simplify the general operation and maintenance process. Through the visual interface and automation tools, problems can be identified and solved more quickly, reducing failure response time and improving operation and maintenance efficiency.





