Programmatic Environment Deployment with Staged Testing and Traffic Control
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Solution Overview
Problem
Implementing continuous delivery in complex software systems, such as traditional monolithic systems, is challenging due to difficulties in maintaining architecturally significant requirements like deployability, modifiability, and testability, leading to potential failures and defects in automated tests.
Innovation Solution
A mechanism for continuous delivery is provided by orchestrating, deploying, and managing complete environments through automated processes, ensuring high consistency and deterministic creation, allowing for seamless progression from development to production with continuous monitoring and traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monolithic systems are used for software deployment, then the system structure is simple and easy to understand, but implementing continuous delivery is challenging and leads to potential failures and defects
Solution Approach 1:
The patent segments the monolithic system into multiple independent microservices that can be deployed and managed separately. Each microservice is containerized with its own dependencies and configuration, allowing independent continuous delivery while maintaining overall system functionality. This segmentation enables the deployment system to handle complex updates without affecting the entire system.
Solution Approach 2:
The patent introduces an intermediary deployment orchestration layer that manages the complex interactions between multiple microservices. This intermediary handles service registration, discovery, load balancing, and coordinated updates, abstracting the complexity from individual service deployments while ensuring system-wide consistency and reliability.
2Productivity
If continuous delivery is implemented in complex systems, then software delivery efficiency is improved, but maintaining architecturally significant requirements like deployability, modifiability, and testability becomes difficult
Solution Approach 1:
The patent uses infrastructure-as-code to manage deployment parameters, configurations, and environment variables as version-controlled code. This allows automated parameter validation, consistent configuration across environments, and easy modification of deployment characteristics without manual intervention, maintaining architectural requirements through programmable controls.
Solution Approach 2:
The patent creates standardized deployment templates and blueprints for microservices that can be copied and instantiated across different environments. These templates encode best practices for deployability, modifiability, and testability, ensuring that each service instance adheres to architectural requirements while enabling rapid, consistent deployment across development, testing, and production environments.
3Reliability
If automated testing pipelines are implemented, then software can be tested rigorously and consistently, but the complexity of the deployment system increases
Solution Approach 1:
The patent implements comprehensive automated testing pipelines that perform unit tests, integration tests, and validation checks automatically during the build and deployment process. Tests are executed preliminary to deployment approval, catching defects early and preventing unreliable code from reaching production. This preliminary automated validation ensures testing reliability while the orchestration layer manages the complexity of coordinating multiple test types.
Data Source
AI summary
Systems and methods for continuous deployment and integration of computer programs within a coding infrastructure are disclosed herein. The system receives one or more files comprising (1) computer code and (2) data for configuring implementation of the computer code within a new programmatic environment. The system can then generate the new programmatic environment by applying a configuration defined in the file(s) and can add the new programmatic environment to a set of existing environments, wherein each environment is classified by a current state indicative of a stage of development. The system initiates execution of a suite of tests for testing performance of the new programmatic environment and, responsive to an indication that the new programmatic environment successfully completed the first suite of tests, updates the current state of the new programmatic environment. The system can configure a volume of network flow processed by the new programmatic environment.