Continuous Delivery Pipeline Model with Automatic Tool Configuration
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Solution Overview
Problem
Current software development processes are time-consuming and resource-intensive, with traditional methodologies failing to facilitate rapid creation, testing, and deployment of software applications, as they are often broken down into lengthy stages that hinder efficient delivery.
Innovation Solution
A system and method for non-disruptive continuous software delivery that creates a continuous delivery pipeline model in response to trigger events, allowing for the selection and configuration of pipeline segments such as CI, FT, UAT, and security scans, with tool adapters enabling communication with various tools and automatic configuration, reducing development lifecycle times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional software development stages are used, then each stage can be completed with clear boundaries and control, but the development lifecycle becomes lengthy and inefficient
Solution Approach 1:
The software delivery process is divided into discrete pipeline segments (build, test, deploy, etc.) that can be executed in sequence. Each segment represents a specific stage with defined entry and exit criteria, allowing parallel execution of independent segments and enabling continuous flow rather than batch processing, thus reducing overall development lifecycle time while maintaining control.
Solution Approach 2:
Build artifacts and test environments are prepared in advance during the pipeline execution. Source code is automatically built into artifacts, and test environments are pre-configured before actual testing begins. This preliminary preparation eliminates waiting time between stages and enables continuous delivery flow.
2Productivity
If manual configuration of tools is performed, then tools can be precisely configured to meet specific requirements, but the configuration process becomes time-consuming and resource-intensive
Solution Approach 1:
The system performs automatic tool configuration through predefined templates and configuration files. When a pipeline is created, the system automatically configures build tools, test tools, and deployment tools based on the selected pipeline template and project requirements, eliminating the need for manual configuration while ensuring precise setup according to best practices.
Solution Approach 2:
Tool configuration is achieved through parameterized configuration files and templates that can be automatically adjusted based on pipeline type, project requirements, and environment specifications. The system changes configuration parameters automatically rather than requiring manual setup, reducing configuration time while maintaining precision.
3Adaptability or versatility
If tools are changed or updated, then the system can adapt to new requirements and technologies, but system performance may be impacted and workflow interrupted
Solution Approach 1:
The toolchain is designed to be dynamic and replaceable. Tool adapters provide standardized interfaces that allow different tool implementations to be swapped without changing the pipeline logic. The system can dynamically select which tool implementation to use based on configuration, enabling flexible adaptation while maintaining workflow continuity through the adapter layer.
Solution Approach 2:
Tool adapters act as intermediary layers between the pipeline engine and specific tool implementations. These adapters provide a standardized interface that isolates the pipeline logic from tool-specific details, allowing tools to be changed or updated without impacting the overall workflow. The adapter absorbs the changes and maintains consistent interaction with the pipeline.
4Reliability
If comprehensive testing is performed at each stage, then software quality is improved, but the development process becomes slower and more complex
Solution Approach 1:
Testing is segmented into different types (unit tests, integration tests, system tests) that are executed at appropriate stages of the pipeline. Each segment focuses on specific quality aspects, allowing comprehensive testing without requiring all test types to run at every stage. This reduces overall complexity while maintaining thorough quality verification.
Solution Approach 2:
The pipeline executes only the necessary testing actions based on the current stage and detected issues. Not all tests need to run at every stage - the system performs partial testing appropriate to the context, reducing complexity while maintaining sufficient quality assurance through strategic test selection.
Data Source
AI summary
A method for continuous software delivery includes: receiving user selections of a first and second segments of a plurality of continuous delivery segments; generating a first toolchain including a plurality of tools configured based on one or more toolchain rules without input from a user; determining a segment dependency between the first segment and the second segment in response to the second user input; generating and executing an instance of a continuous delivery pipeline model including at least the first segment and the second segment; triggering at least a portion of the first toolchain to perform a continuous delivery action associated with the continuous delivery pipeline model; automatically reconfiguring one or more of the plurality of tools based on the one or more retrieved configuration rules; and performing an adjustment to the toolchain in response to the automatically reconfiguring one or more of the plurality of tools.