Customizable Data Visualization Framework for Data Center Monitoring
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Solution Overview
Problem
Traditional data visualization systems in complex computing environments like SDDCs and hybrid cloud computing are not flexible enough to meet diverse user requirements, lacking customization options for dashboards, data sources, and visualization perspectives, which hinders effective monitoring and management.
Innovation Solution
A customizable data visualization framework with a modular design and abstraction, allowing users to define and customize dashboards, visuals, and data sources through a hierarchical layered stack, enabling users to create tailored visualizations suited to their needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fixed visualization systems are used, then system simplicity is maintained, but user customization capability is limited
Solution Approach 1:
The visualization system is divided into multiple independent layers including data source layer, data processing layer, visualization layer, and presentation layer. Each layer can be independently configured and customized without affecting others, enabling users to tailor the system to their specific needs while maintaining overall system stability and manageability
Solution Approach 2:
The system implements dynamic configurability where visualization parameters, data sources, and presentation formats can be adjusted in real-time based on user requirements. This allows the system to adapt to different user needs without requiring complex reconfiguration of the entire system architecture
2Ease of operation
If highly customizable visualization frameworks are implemented, then user experience is improved, but development time and costs increase
Solution Approach 1:
The system provides pre-configured visualization templates, standard data source connectors, and common visualization patterns that can be directly applied to typical use cases. This preliminary preparation allows users to quickly deploy custom visualizations without extensive development work, significantly reducing implementation time while maintaining high customization capability
Solution Approach 2:
Users can copy and reuse existing visualization configurations, data source definitions, and template patterns across different projects and scenarios. This replication capability eliminates redundant development efforts and accelerates the creation of customized visualizations
Data Source
AI summary
A specification of visualization requirements for a customized visualization associated with one or more storage, compute and networking resources of a data center is generated. Resource data is obtained from one or more data sources, the resource data being associated with one or more of the storage, compute and networking resources of the data center. One or more data views are created utilizing the resource data, each data view comprising a dynamic mapping of the resource data based on the visualization requirements. One or more visuals are rendered utilizing the one or more data views. The customized visualization is generated by organizing the visuals into one or more dashboards of a graphical user interface.