Cloud Incubation Hub for Compliant Software Deployment
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Solution Overview
Problem
Developing software in regulatory environments involves high overhead due to compliance with specific controls, requiring significant computational and human resources, and existing validation and deployment processes are inefficient.
Innovation Solution
A system for incubating software platforms on cloud platforms, which automates provisioning, maintenance, and monitoring of resources, allowing development in a less regulated environment, and bundles software artifacts, tools, and scripts into a package for deployment on a target cloud platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software development follows regulatory controls and compliance processes, then reliability and compliance are improved, but development overhead and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-configuring cloud platform accounts with necessary compliance controls, security policies, and regulatory requirements before software development begins. The incubation hub pre-establishes the regulatory framework, so developers work within pre-approved boundaries rather than negotiating compliance during development, thus maintaining reliability while reducing development overhead.
Solution Approach 2:
The incubation hub acts as an intermediary between regulatory requirements and software development processes. It translates complex regulatory controls into standardized templates and automated workflows that developers can follow without directly engaging with regulatory complexity, thereby maintaining compliance while streamlining the development process.
2Reliability
If software development follows specific regulatory controls, then compliance is ensured, but computational and human resources are consumed excessively
Solution Approach 1:
The system creates universal cloud platform account templates that can be reused across multiple software projects and teams. These templates encapsulate common compliance requirements, security configurations, and regulatory controls that can be instantiated repeatedly without recreating the same compliance framework, thus ensuring compliance while reducing both computational overhead and human resource consumption.
Solution Approach 2:
The system changes parameters by transforming complex regulatory requirements into standardized, parameterized templates with configurable options. Instead of handling full regulatory complexity for each project, the system uses parameterized compliance configurations that can be adjusted through simple parameter selection, significantly reducing the computational and human resources needed to maintain compliance.
3Adaptability or versatility
If cloud platform accounts are created for each software project, then customization and control are improved, but system complexity and provisioning time increase
Solution Approach 1:
The system segments cloud platform account creation into modular templates that can be independently configured and combined. Each template represents a discrete, manageable unit of compliance and functionality that can be selected and assembled based on specific project needs, reducing overall system complexity while maintaining adaptability through modular composition.
4Ease of operation
If manual provisioning and configuration of cloud resources is performed, then control and customization are improved, but productivity and deployment speed decrease
Solution Approach 1:
The system enables self-service by allowing cloud platform accounts to automatically provision and configure themselves based on selected templates. The incubation hub automates the entire provisioning process, including resource allocation, security configuration, and compliance setup, without requiring manual intervention, thus maintaining control through automated policies while dramatically improving productivity and deployment speed.
Data Source
AI summary
A system performs incubation of software platform. The system software components for a software platform configured to run on a target cloud platform. The system selects a cloud platform account from an account pool. The system identifies a cloud provisioning template for running the software platform and extracts information describing deployment of the software platform based on the cloud provisioning template. The system configures the cloud platform account to run the software platform. The system bundles a set of software components including software artifacts, custom tools, and automated custom scripts used for running the software platform in a software repository. The system creates a software platform package based on the set of software components. The system provides the software platform package to a target cloud platform account for deployment and execution of the software platform for the tenant.