launchflow.gcp.cloud_run

CloudRun

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class CloudRun(Service)
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A service hosted on GCP Cloud Run.

Example usage:

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import launchflow as lf
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service = lf.gcp.CloudRun("my-service", cpu=4)
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NOTE: This will create the following infrastructure in your GCP project:

• A Cloud Run service with the specified configuration.
• A Load Balancer to route traffic to the service.
• A Cloud Build trigger that builds and deploys the service.
• An Artifact Registry repository to store the service's Docker image.

__init__

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def __init__(
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    name: str,
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    dockerfile: str = "Dockerfile",
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    build_directory: str = ".",
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    build_ignore: List[str] = [],
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    region: Optional[str] = None,
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    cpu: Optional[int] = None,
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    memory: Optional[str] = None,
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    port: Optional[int] = None,
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    publicly_accessible: Optional[bool] = None,
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    min_instance_count: Optional[int] = None,
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    max_instance_count: Optional[int] = None,
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    max_instance_request_concurrency: Optional[int] = None,
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    invokers: Optional[List[str]] = None,
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    custom_audiences: Optional[List[str]] = None,
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    ingress: Optional[Literal[
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        "INGRESS_TRAFFIC_ALL",
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        "INGRESS_TRAFFIC_INTERNAL_ONLY",
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        "INGRESS_TRAFFIC_INTERNAL_LOAD_BALANCER",
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    ]] = None
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) -> None
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Creates a new Cloud Run service.

Args:

• name: The name of the service.
• build_directory: The directory to build the service from. This should be a relative path from the project root where your launchflow.yaml is defined.
• dockerfile: The Dockerfile to use for building the service. This should be a relative path from the build_directory.
• build_ignore: A list of files to ignore when building the service. This can be in the same syntax you would use for a .gitignore.
• region: The region to deploy the service to.
• cpu: The number of CPUs to allocate to each instance of the service.
• memory: The amount of memory to allocate to each instance of the service.
• port: The port the service listens on.
• publicly_accessible: Whether the service is publicly accessible. Defaults to True.
• min_instance_count: The minimum number of instances to keep running.
• max_instance_count: The maximum number of instances to run.
• max_instance_request_concurrency: The maximum number of requests each instance can handle concurrently.
• invokers: A list of invokers that can access the service.
• custom_audiences: A list of custom audiences that can access the service. See: https://cloud.google.com/run/docs/configuring/custom-audiences
• ingress: The ingress settings for the service. See: https://cloud.google.com/run/docs/securing/ingress