Proactive IT Upgrade Testing Framework
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current upgrade processes for enterprise IT products are often reactive, requiring customers to report issues before upgrades are issued, leading to potential product failures and downtime, and lack a proactive mechanism to predict and prevent upgrade failures.
Innovation Solution
A method and system that proactively conduct tests within customer IT environments to assess the likelihood of upgrade failures, using a framework that includes detecting customer intent to upgrade, identifying relevant issue database entries, conducting upgrade issue tests, and advising customers to postpone upgrades if the assessment indicates potential failures until a custom version is available.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proactive upgrade issue testing is implemented, then reliability of upgrade process is improved, but device complexity and testing resources increase
Solution Approach 1:
The system performs upgrade issue tests before the actual upgrade is applied to production environments. Test environments are configured with customer-specific parameters (hardware, software, firmware) and upgrade assessments are conducted in advance to identify potential issues before they affect live systems
Solution Approach 2:
The upgrade testing process is divided into separate test environments and production environments. The system segments the upgrade assessment into discrete testable components, allowing independent testing of upgrade issues without affecting the actual upgrade deployment
2Reliability
If comprehensive upgrade testing is conducted, then upgrade failure prediction is improved, but time and resources for upgrade process increase
Solution Approach 1:
Upgrade assessments are performed in advance in test environments before production upgrades. This preliminary testing identifies potential failures early, allowing customers to prepare mitigation strategies or delay upgrades before committing to production changes
Solution Approach 2:
The system automatically conducts upgrade assessments using customer-provided environment parameters. The testing framework self-configures test environments and executes assessments without requiring extensive manual intervention, reducing the time overhead of comprehensive testing
3Object-affected harmful factors
If upgrade assessments are performed before deployment, then product failures are reduced, but implementation complexity and cost increase
Solution Approach 1:
A test environment acts as an intermediary between the customer's production environment and the upgrade process. This intermediate environment allows safe assessment of upgrade issues without directly impacting production systems, isolating potential failures before they reach customers
Solution Approach 2:
The system creates a copy of the customer's production environment parameters (hardware, software, firmware configurations) in a test environment. This copied environment is used for assessment purposes, allowing realistic testing without risking the actual production system
Data Source
AI summary
A method and system for predicting post-upgrade outcomes in information technology environments through proactive upgrade issue testing. At least with respect to computing, an upgrade may entail the replacement of a product—in the form of hardware, software, and/or firmware—with a newer or better version, which may serve to bring the product up to date, improve the characteristic(s) of the product, and/or resolve any issue(s) inflicting the product. Further, the process of upgrading a product in view of an issue therein is often reactive—that is, it is often required that a customer experiences and reports an issue for a product to a vendor prior to the issuance of an upgrade to the customer that addresses the issue for the product by the vendor. Presently, what is lacking is a mechanism through which product upgrades may be presented to customers proactively in order to minimize product failure and/or downtime.


