Design Principles

• Low Tech/Minimal Coding: Leverage existing tools and provide configuration options to minimize the need for coding.

• API First: Design APIs for all functionality and blocks to enable independent evolution and integration.

• Progressive Enhancement: Allow for module changes and tiered improvements in the user experience.

• Modularity: Design modular blocks that can be selected and integrated based on specific needs.

• Integrations: Enable integration of higher-order capabilities through clear boundaries and APIs.

• Ease of Deployment/Management: Provide easy deployment options and support on commodity hardware or cloud platforms.

• Scalable:

  • Ingestion: Design scalable ingestion processes for real-time data updates.

  • SLA Driven: Strive for a 30-minute SLA between data ingestion and insight generation.

• Performance: Prioritize stable performance within specified hardware limitations.

• Data Privacy: Store only aggregated data and insights, ensuring no personally identifiable information is stored.

• Accessibility: Ensure accessibility on mobile and desktop devices.

• Data Security: Implement specific measures to safeguard data (further details required).

These design considerations aim to create a configurable, scalable, and user-friendly solution for effective data-driven governance in the education sector.

The detailed design principles of cQube, according to the architecture, can be found here.