Cloud Content Hub Custom Component Compilation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current website development methods face challenges in optimizing content delivery for non-technical users, particularly in balancing static and dynamic content to provide a fast and updated user experience, while existing solutions often lead to performance issues like slow loading times and increased server load.
Innovation Solution
A system and method that allows users to mark website components as static or dynamic, using an AI/ML engine to suggest and automatically tag content for optimal caching, reducing CMS queries and offloading repetitive calls to the server, thereby enhancing user experience and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic content is used to ensure up-to-date website content, then content freshness is improved, but loading speed deteriorates
Solution Approach 1:
The patent segments website content into static and dynamic components, allowing different loading strategies for different content types. Static content is cached locally for fast loading, while dynamic content is fetched remotely to ensure freshness, resolving the contradiction between loading speed and content freshness.
Solution Approach 2:
The system performs preliminary actions by caching static content in advance at the server location. This pre-positioning of content eliminates the need for repeated remote fetching during user visits, improving loading speed while maintaining content availability for dynamic updates when needed.
2Speed
If static content is cached at local storage to improve loading speed, then loading speed is improved, but content freshness deteriorates
Solution Approach 1:
The patent implements a dynamic content delivery system where the choice between static caching and dynamic fetching is not fixed but adapts based on content type and update requirements. This allows the system to optimize for speed when appropriate while ensuring freshness when needed, resolving the contradiction between loading speed and content freshness.
3Reliability
If complex CMS queries are executed at runtime to provide updated content, then content accuracy is improved, but server load increases
Solution Approach 1:
The system executes complex CMS queries in advance during the publishing process rather than at runtime. This preliminary execution of queries and caching of results significantly reduces server load during user visits while maintaining content accuracy, as the heavy processing is performed once during publishing rather than repeatedly during content delivery.
4Ease of operation
If non-technical users are empowered to optimize website content delivery, then ease of operation is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where non-technical users can automatically optimize their website content delivery without needing to understand the underlying technical complexities. The system provides automated tools and interfaces that handle the complex decisions about static vs. dynamic content, allowing users to benefit from optimization while the system manages the complexity behind the scenes.
Data Source
AI summary
Described herein are systems and methods for providing custom component compilation within a cloud-based content hub environment. In accordance with an embodiment, embodiments can allow developers to work with a variety of technologies and optimize a page or site for runtime performance, including in some instances the use of a custom (component) compiler, for use during compilation of a particular component of a website.


