CloudRunServiceContainer

A container for a service running on Cloud Run.

Example usage

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import launchflow as lf
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service_container = lf.gcp.CloudRunServiceContainer("my-service-container", cpu=4)

initialization

Creates a new Cloud Run Service container.

Args:

  • name (str): The name of the service.
  • region (Optional[str]): The region to deploy the service to.
  • cpu (Optional[int]): The number of CPUs to allocate to each instance of the service.
  • memory (Optional[str]): The amount of memory to allocate to each instance of the service.
  • port (Optional[int]): The port the service listens on.
  • publicly_accessible (Optional[bool]): Whether the service is publicly accessible. Defaults to True.
  • min_instance_count (Optional[int]): The minimum number of instances to keep running.
  • max_instance_count (Optional[int]): The maximum number of instances to run.
  • max_instance_request_concurrency (Optional[int]): The maximum number of requests each instance can handle concurrently.
  • invokers (Optional[List[str]]): A list of invokers that can access the service.
  • custom_audiences (Optional[List[str]]): A list of custom audiences that can access the service. See: https://cloud.google.com/run/docs/configuring/custom-audiences
  • ingress (Optional[Literal]): The ingress settings for the service. See: https://cloud.google.com/run/docs/securing/ingress
  • environment_variables (Optional[Dict[str, str]]): A dictionary of environment variables to set for the service.