Custom Deploy Processor Plugin Architecture for Cloud Deployment
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Solution Overview
Problem
Cloud-based application platforms face challenges in efficiently deploying customized applications due to the need for substantial resource modifications and a high risk of errors when integrating specific requirements, which limits their ability to serve clients' unique deployment scenarios effectively.
Innovation Solution
The introduction of custom deploy processors as plugins within the cloud platform, allowing for the development of additional processors to handle specific deployment needs, with a predefined contract and API for functionality enhancement without altering the deploy service, enabling flexible and error-reduced customized deployment scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the deploy service is modified to integrate specific requirements for customized deployment scenarios, then the platform can serve clients' unique deployment needs, but substantial resources in work power and time are required and the integration is prone to errors
Solution Approach 1:
The patent segments the deployment functionality by introducing a separate plugin architecture where custom deploy processors are independent modules that can be attached to the deploy service. This separates the core deploy service from customization logic, allowing each to be developed and maintained independently, thus reducing complexity while maintaining adaptability.
Solution Approach 2:
The patent introduces a plugin interface as an intermediary layer between the deploy service and custom deployment logic. This mediator enables communication and integration without direct modification of the deploy service, reducing complexity while preserving customization capability.
2Adaptability or versatility
If the deploy service is modified to integrate specific requirements for customized deployment scenarios, then the platform can serve clients' unique deployment needs, but substantial resources in work power and time are required
Solution Approach 1:
By segmenting deployment functionality into independent plugins, the patent enables parallel development of custom processors without blocking core service updates. This reduces the time required to implement and integrate customized deployment scenarios.
Solution Approach 2:
The patent establishes a predefined plugin interface and contract structure in advance, allowing custom deploy processors to be developed independently and attached later without requiring service modification. This preliminary framework reduces implementation time for new customization scenarios.
3Adaptability or versatility
If the deploy service is modified to integrate specific requirements for customized deployment scenarios, then the platform can serve clients' unique deployment needs, but the integration is prone to errors
Solution Approach 1:
The plugin interface acts as a controlled intermediary that enforces a standardized contract between the deploy service and custom processors. This reduces integration errors by providing a predefined, validated interface that both sides must adhere to, eliminating ad-hoc integration issues.
Solution Approach 2:
By separating custom deployment logic into independent plugins, the patent isolates potential errors to specific plugin modules rather than risking system-wide failures. This segmentation allows for easier error containment, debugging, and rollback of individual custom processors without affecting the core deploy service.
Data Source
AI summary
Various embodiments of systems and methods to process customized deployment scenarios in a shared computing environment are described. In one aspect, a deployment request is received at the shared computing environment by a client associated with a customized deployment scenario. In a response, a deploy service of the shared computing environment is instantiated. In another aspect, one or more custom deploy processors are identified by the deploy service, where the one or more custom deploy processors correspond to one or more customized deployment scenarios. In yet another aspect, a part of a deployable content passed to the one or more custom deploy processors by the deploy service, is deployed to the shared computing environment by at least one corresponding custom deploy processor.