Computer Environment Architecture Visualization via Service-Flow Videos
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex computer environments, the lack of easily accessible knowledge about the inner workings of various architectures leads to inefficient troubleshooting, resulting in prolonged downtimes and resource wastage due to the high turnover of team members and outdated documentation.
Innovation Solution
A system that automatically generates real-time videos depicting data flow and actions within the system using a portal, management service, and video creation service, allowing on-call engineers to quickly understand system operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional documentation and knowledge transfer methods are used, then knowledge retention depends on team member stability, but high turnover and system complexity cause knowledge loss and extended troubleshooting times
Solution Approach 1:
The system proactively generates and stores video documentation of system operations and data flows in advance, so that when troubleshooting is needed, the information is already available without requiring real-time analysis or human intervention to explain system behavior
Solution Approach 2:
The system creates visual copies (videos) of system operations and data flows, replacing the need for human experts to physically demonstrate or explain system behavior. These video copies can be stored and replayed indefinitely, preserving knowledge regardless of team member turnover
2Productivity
If manual troubleshooting procedures are used, then engineers can identify issues, but the process takes extensive time and requires deep system knowledge that is difficult to transfer
Solution Approach 1:
The system introduces an intermediary mechanism (automated video generation and retrieval system) that bridges the gap between system operations and troubleshooting needs. Instead of engineers manually analyzing complex system behavior, they can quickly retrieve pre-generated videos showing system data flows and operations, dramatically reducing troubleshooting time
3Reliability
If comprehensive system documentation is maintained, then knowledge is preserved, but the documentation becomes outdated quickly due to continuous system changes and team turnover
Solution Approach 1:
The system transitions from static documentation to dynamic, on-demand video generation. Instead of maintaining fixed documentation that becomes outdated, the system generates fresh video documentation tailored to specific troubleshooting needs, ensuring the information is always current and relevant to the actual system state
Data Source
AI summary
A method for automatically generating a real-time video related to a functionality of a computing environment includes providing a portal for users to submit a request for a video related to the functionality of the computing environment, where the request includes a correlation ID associated with the functionality and the computing environment includes a plurality of services. Based on the correlation ID the method determines that a video associated with the correlation ID is not available in a video storage medium and upon this determination, metadata from the computing environment is retrieved. Aggregated data representing at least one of flow of data in one or more of the plurality of services or operations of one or more of the plurality of services is then generated from the retrieved metadata and using the management service, and transmitted to a video creation service that generates a video based on the aggregated data. The generated video depicts at least one of the flow of data in one or more of the plurality of services or the operations of one or more of the plurality of services. The video is stored in the video storage medium with the correlation ID for future use, and is provided for display.