Automated Application Blueprint Generation for Cloud Migration
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Solution Overview
Problem
Current deployment tools for cloud computing are inefficient and prone to errors due to manual provisioning of customizations, leading to duplication of effort, cost, and configuration errors when transferring multi-tier applications to the cloud, as they rely on custom scripts and centralized mechanisms that are not automated for dynamic cloud provisioning.
Innovation Solution
The system automatically generates a customized application blueprint by scanning deployed applications using configuration discovery scripts to identify properties such as dependencies, load balancing, and custom drivers, which are then used to create a managed application deployment, enabling standardized infrastructure components and portable deployment across different cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual provisioning of customizations is used in deployment tools, then flexibility in application configuration is achieved, but errors and duplication of effort increase
Solution Approach 1:
The system automatically copies configuration properties from source control repositories and application binaries to deployment configurations, eliminating manual provisioning errors while maintaining configuration flexibility. The automated copying process ensures consistency and accuracy across deployment environments.
Solution Approach 2:
The deployment tool performs self-service by automatically discovering, extracting, and applying configuration properties without requiring manual intervention. The system autonomously provisions customizations by reading from source control and application binaries, reducing both errors and duplication of effort.
2Device complexity
If centralized mechanisms are used for deployment coordination, then resource contention is reduced, but network bandwidth consumption increases due to continuous polling
Solution Approach 1:
The system replaces continuous polling with periodic status checks at strategically determined intervals. Deployment coordination occurs at specific milestones rather than through constant network communication, reducing bandwidth consumption while maintaining effective coordination through localized processing between checkpoints.
3Stability of the object's composition
If traditional deployment tools are used for cloud provisioning, then existing deployment processes are maintained, but automation compatibility with dynamic cloud resources is poor
Solution Approach 1:
The deployment tool dynamically adapts to cloud provisioning workflows by automatically detecting and responding to dynamic resource states. The system modifies its behavior based on real-time cloud environment conditions, enabling seamless automation while maintaining stable deployment processes through flexible, context-aware execution.
4Adaptability or versatility
If custom scripts are used for application deployment, then specific application requirements are met, but productivity and deployment speed decrease
Solution Approach 1:
The system implements a universal deployment framework that handles multiple application types and customization requirements through a single automated platform. By providing multi-functional capabilities that accommodate diverse application-specific needs without requiring custom scripts, the system maintains both adaptability and high deployment productivity.
Data Source
AI summary
Methods and apparatus to generate a customized application blueprint are disclosed. An example method includes determining a first virtual machine within an application definition, automatically identifying a property for the first virtual machine, and generating an application blueprint based on the identified property of the virtual machine.