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)
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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.

inputs

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CloudRunServiceContainer.inputs(environment_state: EnvironmentState) -> CloudRunServiceContainerInputs
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Get the inputs for the Cloud Run service container resource.

Args:

• environment_state (EnvironmentState): The environment state to get the inputs for.

Returns:

• CloudRunServiceContainerInputs: The inputs for the Cloud Run service container resource.