Dynamic Application Component Instance Generation
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Solution Overview
Problem
Conventional on-demand computing platforms are limited in dynamically identifying and implementing changes in SaaS application components in real-time based on user behavior, leading to inefficient deployment and communication between users and administrators.
Innovation Solution
The system enables dynamic customization and modification of application components by generating new instances based on user interactions, using a custom interface between the user system and computing platform, allowing for real-time updates and efficient deployment of application components across multiple instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional on-demand computing platforms are used, then application components are deployed in a distributed manner, but the system cannot dynamically identify and implement changes in real-time based on user behavior
Solution Approach 1:
The patent implements dynamic deployment by allowing application components to be modified and redeployed in real-time based on user behavior. The system transitions from static component deployment to dynamic adaptation where components can be customized during runtime without requiring full application redeployment, enabling the platform to respond adaptively to changing user needs.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor user interactions with application components and use this information to trigger automatic modifications. User behavior data is captured and analyzed to identify patterns, which then feed into the deployment system to initiate appropriate component customizations, creating a closed-loop adaptive system.
2Ease of operation
If dynamic customization is implemented, then user experience is improved, but system complexity increases
Solution Approach 1:
The patent segments the application into independent, modular components that can be customized individually. Each component can be modified, deployed, and managed separately, allowing dynamic customization without requiring changes to the entire application system. This modular architecture reduces the complexity burden by isolating customization operations to specific component levels.
Solution Approach 2:
The system implements a universal deployment mechanism that handles multiple types of application components through a common interface and process. The same deployment infrastructure supports various component types and customization scenarios, reducing overall system complexity by avoiding the need for separate specialized systems for each customization case.
3Productivity
If real-time updates are performed, then deployment efficiency is enhanced, but communication overhead between users and administrators increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring deployment pipelines and component templates before actual customization is needed. Common customization patterns are pre-defined and prepared, allowing the system to execute rapid updates by selecting and instantiating pre-prepared configurations rather than creating customizations from scratch, thereby reducing real-time communication requirements.
Data Source
AI summary
Disclosed herein are systems, methods, and devices that configure components of applications. A computing platform implemented using a server system may be configurable to cause determining an initial configuration of an application component that is configured to enable interactions with a user. The initial configuration is determined based on configuration parameters stored in the computing platform. The computing platform may also cause including a first instance of the application component in a webpage, the first instance being generated based on the initial configuration. The computing platform may also cause receiving a function call from the webpage, the function call being generated based on a user interaction with the webpage. The computing platform may also cause implementing a new instance of the application component responsive to the function call, the new instance comprising at least one change implemented based, at least in part, on the function call.