Pre-Deployment Validation Engine for CI/CD Environment Readiness
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Solution Overview
Problem
Existing software deployment processes in CI/CD pipelines are hindered by the need for manual verification of deployment configurations and environment readiness, leading to delays, resource consumption, and potential deployment failures due to missing configurations or connectivity issues.
Innovation Solution
An automated software validation engine that performs pre-deployment checks on CI/CD pipelines to validate environment readiness, including authentication, configuration existence, and potential risks, providing timely feedback to developers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification of deployment configurations is performed, then deployment reliability is improved, but deployment time and resource consumption increase
Solution Approach 1:
The patent implements preliminary validation of deployment configurations and environment readiness before the actual deployment occurs. The validation engine checks configuration files, environment variables, connectivity, and resource availability in advance, allowing issues to be identified and resolved prior to deployment time, thus ensuring reliability without delaying the actual deployment process.
Solution Approach 2:
The validation engine performs automated self-checks of deployment prerequisites, including verifying configuration file existence, validating environment variable settings, checking connectivity to target systems, and confirming resource availability. This self-service validation eliminates the need for manual verification while maintaining high reliability standards.
2Reliability
If automated validation checks are performed before deployment, then deployment failures are reduced, but validation time and processing resources increase
Solution Approach 1:
The validation engine performs lightweight preliminary checks such as file existence verification, configuration format validation, and connectivity tests before deployment. These preliminary actions are designed to be efficient and non-intrusive, validating critical parameters without requiring extensive processing resources or time that would delay the deployment pipeline.
Solution Approach 2:
The validation engine performs only the necessary validation checks required for deployment success, avoiding unnecessary comprehensive analyses. By identifying and validating only the critical deployment prerequisites (configuration files, environment variables, connectivity, resource availability), the system achieves high reliability while minimizing processing resource consumption.
3Manufacturing precision
If deployment validation is performed during the deployment window, then deployment accuracy is improved, but deployment speed decreases
Solution Approach 1:
The validation engine performs accuracy-critical checks during the deployment window but designs these validations to be rapid and non-blocking. By validating configuration correctness, environment readiness, and connectivity in advance during the deployment process, the system ensures deployment accuracy without significantly slowing down the overall deployment speed, as validations are performed in parallel where possible.
Solution Approach 2:
The validation engine provides immediate feedback on deployment readiness and identifies issues quickly, allowing the deployment process to proceed rapidly once validations pass. This feedback mechanism ensures that only accurate and ready deployments are executed, maintaining high deployment speed while ensuring accuracy through rapid validation cycles.
Data Source
AI summary
Automated validation of software code is disclosed. In one example, a method comprises the following steps. The method evaluates software code to be deployed in an execution environment. The method identifies one or more factors that affect deployment of the software code in the execution environment. The method automatically validates the one or more factors prior to deployment of software code in the execution environment. The automated pre-validation may mitigate or eliminate deployment problems prior to actual deployment in the execution environment thereby preserving significant processing platform resources of the execution environment.


