For the migration of Java monolithic applications to Kubernetes microservices, the gemini-flow process is:
- 1. Operation
gemini-flow sparc orchestratecommand to set the--mode migration - 2. Specify the source system (legacy-java) and target architecture (kubernetes-microservices)
- 3. Configuring the number of intelligences (e.g. 50) to work together
- 4. The system automatically analyzes the code, designs the microservice architecture and generates deployment scripts.
- 5. The final output, including the Kubernetes configuration and microservice code, is saved in the output/ directory. It is worth noting that the source code directory structure needs to be clear and standardized, and it is recommended to clean up useless files in advance to improve migration efficiency.
This answer comes from the articleGemini-Flow: AI Code Development and System Optimization Tool for Multi-Intelligence CollaborationThe
May not be reproduced without permission:AI productivity tools " How does gemini-flow perform system architecture migration? Java to Kubernetes Migration as an Example
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