Shared Automation Configuration for Multi-Repository Workflow Updates
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Solution Overview
Problem
Technology organizations face challenges in efficiently creating, sharing, and updating standardized automation across multiple teams, leading to overwhelming efforts in CI/CD and DevOps practices, which are crucial for software development lifecycle management.
Innovation Solution
A system and method that enables organizations to define comprehensive automation configuration parameters, allowing them to apply shared automation configuration to managed repositories via a centralized library repository, track inputs, and propagate changes across impacted repositories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If each team creates and maintains its own automation configurations independently, then teams have full control and customization capability, but the organization faces overwhelming effort and inconsistency across multiple teams
Solution Approach 1:
The system segments automation configuration into two distinct layers: a centralized library repository containing shared automation configurations, and individual team repositories that reference and customize these configurations. This segmentation allows teams to work with manageable portions of automation while the centralized layer provides organization-wide coordination and reduces overall complexity.
Solution Approach 2:
The centralized library repository acts as an intermediary between organization-wide automation standards and team-specific implementations. It provides a middle layer that stores reusable automation configurations, which teams can then reference and customize, thereby reducing the burden on each team while maintaining customization capability.
2Productivity
If the organization implements comprehensive automation across all teams, then productivity and delivery speed improve, but the effort and resources required to create and maintain automation become overwhelming
Solution Approach 1:
The system performs preliminary action by pre-configuring automation templates and configurations in the centralized library repository before teams need them. Teams can directly reference these pre-built configurations rather than creating automation from scratch, significantly reducing the time and effort required to implement automation while maintaining comprehensive coverage across the organization.
Solution Approach 2:
The system enables copying of automation configurations from the centralized library repository to individual team repositories. Teams can copy proven automation patterns and configurations, then customize them as needed, rather than reinventing automation solutions. This copying mechanism dramatically reduces the time and resources required to establish automation across multiple teams.
3Stability of the object's composition
If automation configurations are updated across the organization, then consistency and standardization improve, but tracking changes and propagating updates to all impacted repositories becomes complex
Solution Approach 1:
The system implements feedback mechanisms that track which team repositories reference which centralized automation configurations. When configurations in the centralized library repository are updated, the system can identify and notify impacted teams, enabling coordinated updates that maintain consistency while managing the complexity of propagation through organized feedback loops.
Data Source
AI summary
A system and method for lifecycle automation of workflow processes. The system includes a memory and one or more processors to execute computer-readable instructions stored in the memory to perform a method. The method has the following steps. First, authorizing access via a dashboard or API to a centralized library repository. The centralized library repository hosts shared automation configuration. The shared automation configuration is configured to be selected via a blueprint profile or by the user team and applied to a managed repository. Second, generating a configuration file. The configuration file defines the shared automation configuration parameters for the managed repository. Lastly, committing the configuration file to the managed repository thereby committing the shared automation configuration to the managed repository. The system is configured to track inputs to the shared automation configuration and propagate changes that result from the input to impacted managed repositories.