Adaptive Change Management for Computer System Landscapes
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Solution Overview
Problem
Efficient lifecycle management of software and data components across different environments in multi-computer systems landscapes is challenging due to manual updates, leading to overhead, errors, and extensive downtimes, especially when transporting artifacts from development to production environments.
Innovation Solution
Implementing adaptive change management by extracting predefined attributes for computer system artifacts, creating unique identification sections, tracking modifications, and automatically applying these changes to newly received artifacts of the same kind across environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updates are performed for transported objects, then flexibility and control are maintained, but overhead, errors, and extensive downtimes increase
Solution Approach 1:
The system enables self-service automation where the transport management system automatically performs updates and adjustments to transported objects without manual intervention. The system extracts attributes, creates unique identification sections, tracks modifications, and automatically applies changes to newly received artifacts, allowing the system to serve itself and eliminate the need for manual operations while reducing errors and downtime
Solution Approach 2:
The patent replaces the mechanical manual update process with an automated computer-based system. The manual operations for extracting attributes, tracking modifications, and applying updates are substituted by an automated system that uses unique identification sections and modification tracking mechanisms to perform these tasks electronically, thereby eliminating the time-consuming and error-prone manual processes
2Productivity
If manual operations are performed over numerous objects and transports, then precise control over each object is maintained, but overhead and resource consumption increase
Solution Approach 1:
The system implements a universal automated framework that handles multiple types of objects (software components, data components, BI Reports, databases) and multiple transport scenarios through a single multi-functional platform. The unique identification section and modification tracking mechanisms serve universal purposes across different object types and transport operations, consolidating resources and improving productivity by eliminating the need for separate manual processes for each object
Solution Approach 2:
The system creates and distributes unique identification sections as templates that can be replicated across multiple computer systems in the landscape. Instead of manually configuring each system individually, the unique identification section is distributed to numerous computer systems, allowing the system to scale efficiently and reduce resource consumption by using copies rather than recreating configurations manually
3Reliability
If updates are performed to fit transported objects in new environments, then proper interaction with dependencies is ensured, but extensive downtimes occur
Solution Approach 1:
The system performs preliminary actions by extracting attributes and creating unique identification sections before the actual transport occurs. Modification tracking is set up in advance, and when objects are transported, the system can quickly apply pre-defined updates based on the tracked modifications, rather than performing extensive updates after arrival. This preliminary preparation significantly reduces the downtime required for updates in the new environment
Solution Approach 2:
The patent replaces the time-consuming manual update process with automated electronic updates. The system automatically retrieves tracked modifications and applies them to transported objects in the new environment through electronic operations, eliminating the extensive manual intervention time that previously caused prolonged downtimes while ensuring proper interaction with dependencies
4Extent of automation
If automated change management is implemented, then manual intervention is reduced and errors are minimized, but system complexity increases
Solution Approach 1:
The system segments the change management process into distinct modular components: attribute extraction, unique identification section creation, modification tracking, and automatic update application. Each component operates independently and can be managed separately, reducing the perceived complexity by breaking down the automated system into manageable segments with clear interfaces between them
Solution Approach 2:
The unique identification section serves as an intermediary that bridges the gap between transported objects and the modification tracking system. This intermediary structure simplifies the automation by providing a standardized interface for identifying and matching objects across different environments, reducing the complexity of the overall automated system through the use of this mediating component
Data Source
AI summary
An adaptive automatic change management for computer system landscapes is described herein. A predefined set of attributes are extracted or obtained for a computer system artifact, together with a number of values assigned to the set of attributes. A unique identification section is created and distributed among the computer systems in the landscape based on the set of attributes and the assigned values, where the unique identification section encompass computer system artifacts of a same kind. A modification of an artifact of the same kind is tracked at a computer system. The tracked modification is automatically applied in the computer system to one or more incoming computer system artifacts of the same kind.