Automated CI/CD Deployment Gating for Compliance Readiness
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Solution Overview
Problem
Conventional software deployment methods are prone to human errors, inconsistencies, and lack automation, leading to inefficiencies, downtime, and hinder agility and scalability.
Innovation Solution
An automated deployment management system that includes modules for security, incident response, deployment time, compliance, reliability, environment control, infrastructure adaptation, release process adherence, versioning, and interoperability, which analyze data from the CI/CD pipeline to determine deployment readiness and block applications that do not meet predetermined policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual deployment methods are used, then deployment process is simple to implement, but human errors and deployment inconsistencies occur
Solution Approach 1:
The deployment system performs self-validation and self-correction through automated policy checking. The system automatically detects deployment readiness by evaluating policies related to security scans, incident status, prime time restrictions, SLO compliance, and environment availability, eliminating the need for manual verification and reducing human errors.
Solution Approach 2:
The system implements continuous feedback loops by monitoring deployment conditions in real-time. Policy evaluation results feed back into the deployment decision-making process, allowing the system to automatically adjust or block deployments based on current system state, ensuring consistent and reliable deployment outcomes.
2Productivity
If manual deployment processes are used, then system complexity is low, but deployment time and downtime increase
Solution Approach 1:
The system performs preliminary policy evaluations and readiness checks before actual deployment occurs. By pre-assessing security scan results, incident status, prime time constraints, SLO compliance, and environment availability, the system prepares deployment decisions in advance, reducing actual deployment time and minimizing downtime.
Solution Approach 2:
The patent replaces manual mechanical deployment processes with automated electronic systems. The automated policy evaluation and decision-making system substitutes human operators and manual procedures, enabling faster, more consistent deployment decisions without the delays associated with manual intervention.
3Reliability
If automated deployment management system is implemented, then deployment consistency and reliability are improved, but system complexity increases
Solution Approach 1:
The automated deployment management system is segmented into distinct functional modules: security scan evaluation, incident status monitoring, prime time restriction checking, SLO compliance verification, and environment availability assessment. Each module independently evaluates specific policies, and their results are aggregated to determine overall deployment readiness, making the complex system manageable and maintainable.
4Reliability
If multiple policy checks are performed, then deployment security and compliance are enhanced, but processing time increases
Solution Approach 1:
The system performs policy evaluations continuously and in parallel rather than sequentially. Multiple policy checks (security scans, incident status, prime time restrictions, SLO compliance, environment availability) are executed simultaneously, maintaining continuous monitoring of deployment readiness without adding sequential processing delays.
Data Source
AI summary
Systems, devices, and methods related to automated management of deployment of applications are provided. An example computer system includes one or more processors and a computer-readable storage media storing computer-executable instructions. The instructions when executed by the one or more processors, cause the computer system to receive a request for deploying an application in a production environment, access data generated during continued integration/continued development (CI/CD) pipeline execution of the application, analyze the data to determine a status of the application, determine whether the application is ready for deployment based at least in part on the status of the application and a predetermined policy, and block the application from deployment in response to a determination that the application is not ready.