Release Package Deployment Automation
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Solution Overview
Problem
The deployment of software across different environments and phases of development often requires multiple release packages, which can be time-consuming, error-prone, and inefficient, as they need to be customized for specific environments and stages, and manual processes are often necessary for tracking extrinsic tasks and activities.
Innovation Solution
A system that associates rules with release package elements to determine which elements to deploy based on conditions such as environment type and development stage, allowing for flexible and efficient deployment across multiple environments, and includes configuration data from a configuration management database to streamline configuration processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple customized release packages are created for different environments and development stages, then deployment accuracy and environment-specific optimization are improved, but deployment time and complexity increase
Solution Approach 1:
The patent implements a universal release package that can be deployed across multiple environments and development stages. The system uses environment-specific configuration files and conditional deployment rules to adapt a single release package to different targets (development, testing, production environments), eliminating the need to create separate customized packages for each environment while maintaining deployment accuracy.
Solution Approach 2:
The patent performs preliminary configuration by pre-defining deployment rules, environment configurations, and package structures before deployment. Configuration files and deployment manifests are prepared in advance, allowing the system to automatically select and apply appropriate settings during deployment without requiring manual customization for each environment, thus reducing deployment time while maintaining precision.
2Manufacturing precision
If multiple customized release packages are created for different environments and development stages, then deployment accuracy and environment-specific optimization are improved, but process complexity increases
Solution Approach 1:
The patent segments the release package into modular components including environment-specific configuration files, conditional deployment rules, and standardized package structures. This segmentation allows the system to manage complexity by handling only relevant portions for each deployment scenario, maintaining accuracy while reducing overall process complexity through organized modularity.
Solution Approach 2:
The patent implements dynamic configuration where deployment parameters and settings are automatically adjusted based on the target environment and development stage. The system uses conditional logic and environment detection to dynamically select appropriate configuration files and deployment rules, eliminating the need for static pre-customization for each environment and reducing process complexity.
3Adaptability or versatility
If manual processes are used for tracking extrinsic tasks and activities, then flexibility in handling special cases is improved, but error rate and time consumption increase
Solution Approach 1:
The patent implements automated tracking and monitoring systems that provide feedback on deployment status, task completion, and environment configurations. The system automatically detects and reports issues, validates deployment success, and maintains audit trails, reducing error rates while maintaining flexibility through programmable exception handling and configurable alerting mechanisms.
4Adaptability or versatility
If manual processes are used for tracking extrinsic tasks and activities, then flexibility in handling special cases is improved, but productivity decreases
Solution Approach 1:
The patent implements self-service automation where the deployment system automatically performs task tracking, status monitoring, and exception handling without manual intervention. The system uses automated workflows, scheduled tasks, and self-healing mechanisms to manage extrinsic activities, improving productivity while maintaining flexibility through configurable automation rules and programmable response to special cases.
Data Source
AI summary
A system for deploying software includes a processor programmed to identify a collection of deployable elements for use in deploying the software. The instructions also include instructions to receive information associating, with the collection of deployable elements, an item and an activity that is to be performed, using the item, when the software is deployed to a specified type of computing system. The instructions also include instructions to, using at least one of the collection of deployable elements, deploy the software to the specified type of computing system, and in response to a deployment of the software to the specified type of computing system, initiate performance of the activity.