Platform Architecture Standardization via Segmentation
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Solution Overview
Problem
Current platform architecture creation methods lack standardization and efficiency in delivering customer-centric solutions, particularly in cloud computing environments, leading to inconsistencies and increased complexity in managing customer systems across different architecture types.
Innovation Solution
The implementation of a standardized method for creating and assessing platform architectures using platform architecture type unit definitions, specifically defining Go-To-Market, Platform Environment, Platform Component, and Platform Information architectures, with success gates and continuous delivery processes to ensure consistency and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If standardized platform architecture type unit definitions are implemented, then manufacturing precision and reliability of platform architectures improve, but device complexity and implementation difficulty increase
Solution Approach 1:
The platform architecture is segmented into distinct architecture types (Go-To-Market, Platform Environment, Platform Component, Platform Information) with specific architecture type units for each segment. This segmentation allows standardized definitions to be applied to manageable portions of the overall architecture, improving consistency without overwhelming complexity.
Solution Approach 2:
The standardized architecture type unit definitions serve multiple functions: they define architectural structures, establish assessment criteria, enable compliance verification, and facilitate continuous delivery processes. This multi-functionality reduces the need for separate standardization mechanisms across different architecture domains.
2Reliability
If comprehensive architecture assessment with success gates is implemented, then reliability and compliance of platform architectures improve, but loss of time and productivity decrease
Solution Approach 1:
Success gates are defined in advance for each architecture type, establishing assessment criteria before the actual architecture creation process begins. This preliminary definition of assessment points and success criteria enables streamlined verification processes that reduce time loss during implementation while maintaining comprehensive compliance checking.
Solution Approach 2:
The assessment process provides continuous feedback through success gate evaluations at defined milestones. This feedback mechanism allows for early detection of compliance issues and iterative corrections, reducing the total time required to achieve reliable architectures compared to end-to-end verification approaches.
3Adaptability or versatility
If multiple architecture types with specific definitions are defined, then adaptability and versatility of platform solutions improve, but device complexity and difficulty of operation increase
Solution Approach 1:
The platform architecture is divided into four distinct architecture types (Go-To-Market, Platform Environment, Platform Component, Platform Information), each with specific type units tailored to its domain. This segmentation provides adaptability for different architectural needs while managing complexity through clear boundaries and focused definitions for each type.
Data Source
AI summary
In an example, a method for developing a customer system utilizing a preexisting cloud-computing platform is provided. The method may include defining a platform architecture for the customer system to be developed in terms of a plurality of architecture types—and their predefined architecture type unit. The method may include displaying an indicator of first and second indicators, the first and second indicators corresponding to confirmation of the platform architecture and non-confirmation of the platform architecture, respectively, based on information about a subset of deliverables corresponding to the architecture types.