Production Environment Verification via Automation Server Mediation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack specialized methods for verifying the stability of production environments, leading to potential disruptions and oversight, especially when non-technical personnel are involved, and there is a need for identifying gaps in diligence without interfering with business operations.
Innovation Solution
A network topology comprising a user terminal, cloud services, servers, and automation servers, enabling automated verification of production environments through an automation server program that allows non-technical personnel to perform due diligence with minimal disruption, using platforms like Service Now Cloud, Dynatrace Cloud, and GitHub in Cloud, and tools like Jenkins and Ansible for continuous integration and infrastructure management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated verification methods are implemented, then stability verification capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system comprising automation servers, cloud services, and standardized APIs that mediate between verification requirements and production environments. This intermediary layer provides pre-built verification templates, automated scripting capabilities, and standardized interfaces that enable stability verification without requiring complex custom solutions, thus improving reliability while managing system complexity.
Solution Approach 2:
The patent employs copying by creating virtual representations of production environments through configuration management databases (CMDB) and using template-based verification approaches. Instead of directly complex interactions with production systems, the system uses copied configuration data and standardized verification templates that can be repeatedly applied, reducing the need for complex custom verification logic for each scenario.
2Ease of operation
If non-technical personnel are enabled to perform diligence, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent implements self-service through automated verification systems that perform diligence tasks autonomously without requiring technical expertise from users. The automation servers execute pre-configured verification protocols, analyze results, and generate reports automatically. This allows non-technical personnel to initiate and monitor verification processes while the system handles the complex technical aspects, thereby improving ease of operation while maintaining verification precision through automated execution of standardized procedures.
Solution Approach 2:
The patent incorporates feedback mechanisms where the automated system continuously monitors verification results, compares them against expected outcomes, and provides actionable insights to users. The system feeds back detailed analysis results, anomaly detections, and recommendations to non-technical personnel, enabling them to understand and act on verification findings without needing deep technical knowledge, thus maintaining precision while improving accessibility.
3Reliability
If thorough diligence is performed, then reliability is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring verification templates, establishing baseline configurations in the CMDB, and preparing automated verification scripts before actual diligence is needed. The system proactively monitors production environments using pre-set parameters and can quickly execute verification routines when triggered, eliminating the need to setup and configure verification processes from scratch during actual diligence activities, thus reducing time loss while maintaining thoroughness.
Solution Approach 2:
The patent implements continuous monitoring and verification capabilities that operate in the background without interrupting production operations. The automated system performs diligence continuously or at scheduled intervals, maintaining constant oversight of production stability. This continuous action eliminates the need for periodic intensive verification campaigns that would cause operational disruptions, allowing thorough monitoring to proceed without significant time loss to business operations.
4Productivity
If automated verification is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional automation platform that can perform various verification tasks through a single integrated system. The automation servers can execute different verification templates, manage multiple production environments, and adapt to various verification scenarios using a common architecture. This universal approach improves productivity by eliminating the need for separate specialized tools for each verification task, while the standardized multi-functional platform manages complexity through reuse of common components and interfaces.
Data Source
AI summary
This disclosure enables various hardware/software configurations that enable verification of stability of production environments. These configurations are technologically advantageous and improve functioning of computers, because these configurations minimize interference with or disruption of business operations in production environments, while allowing non-technical personnel to perform due diligence of various IT equipment in such environments and enabling iterative feedback to allow for identification of gaps in such diligence.


