Automated Distributed Architecture Blueprinting via Event-Driven Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Distributed architecture system documentation often becomes outdated due to complexities in identifying current versus outdated documentation, making it challenging for architects and developers to deploy and maintain accurate system configurations.
Innovation Solution
A method and system for automatically building and updating blueprints of distributed architecture systems using containerized binary files, continuous integration, and continuous deployment techniques, which include discovering schema, topology, configuration, and dependency resolution, and version controlling these components to ensure they are up-to-date and synchronized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If distributed architecture system documentation is manually maintained, then initial documentation can be created, but the documentation becomes outdated quickly due to system changes
Solution Approach 1:
The system automatically generates and updates architecture documentation by self-monitoring its own configuration changes through webhooks and event listeners, eliminating the need for manual documentation updates and ensuring the documentation remains current with the actual system state
Solution Approach 2:
The system implements continuous feedback loops where configuration changes trigger automated documentation regeneration through event-driven architecture, ensuring documentation accuracy is maintained by constantly comparing actual system state with documented state and updating when discrepancies are detected
2Loss of information
If architecture documentation is updated frequently to remain current, then accuracy is improved, but the complexity of tracking changes increases
Solution Approach 1:
The system segments the documentation update process into independent, event-triggered tasks where specific configuration changes automatically trigger specific documentation regeneration actions, reducing overall system complexity by breaking down the complex update process into manageable, isolated segments
Solution Approach 2:
The system performs preliminary actions by pre-configuring webhook endpoints and event listeners that automatically initiate documentation updates before manual intervention is needed, reducing the perceived complexity by having updates prepared and executed automatically based on predefined triggers
3Measurement precision
If manual tracking of architecture changes is performed, then change identification is possible, but the effort and time required increases significantly
Solution Approach 1:
The system replaces manual mechanical tracking processes with automated electronic monitoring through webhooks, event listeners, and programmatic change detection, maintaining precise change detection accuracy while dramatically improving deployment efficiency by eliminating manual tracking efforts
Data Source
AI summary
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: running one or more test cases using a version of an artifact in an environment; detecting a modification to the version of the artifact based on a release of a newer version of the artifact; in response to detecting the modification, generating a modified version of the artifact to incorporate the modification; selecting a first artifact from a list of one or more artifacts comprising the modified version of the artifact; deploying the first artifact, by using an internet protocol (IP) address, into a networking sandbox corresponding to a particular objective; and building a second artifact based on changes implemented to the first artifact. Other embodiments are described.