cloudrun-development

CloudBase Run deploys backend services with long connections by initializing long-lived HTTP, SSE, or WebSocket processes. You can choose Function mode or Container mode depending on your specific deployment requirements.

Yes, you can deploy an AI agent on CloudBase Run. The Skill is specifically designed to support AI agent development and deployment, allowing you to run custom Agent services within managed container or function environments.

Function mode and Container mode differ in their deployment approach for CloudBase Run services. Function mode provides a streamlined deployment path, while Container mode supports custom runtime environments and system libraries for more complex service requirements.

You can set up custom runtime environments for CloudBase Run services by selecting Container mode. This mode allows you to define custom runtime environments and include specific system libraries required by your backend service.

Yes, CloudBase Run supports stateless services with an emphasis on durable data externalization. The Skill ensures proper resource management by externalizing persistent data outside the service instances themselves.

The best way to initialize a new CloudBase Run service is using the management command with the action 'init', specifying your server name and target path. This quickly sets up the service in your chosen deployment mode.