HorizontalPodAutoscaler

An autoscaler for a Kubernetes service.

NOTE: HorizontalPodAutoscaler is still in beta and is subject to change.

Example usage

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import launchflow as lf
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cluster = lf.gcp.GKECluster("my-cluster")
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service = lf.gcp.GKEService(
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    "my-service",
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    cluster=cluster,
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    container_resources=lf.kubernetes.service.ContainerResources(
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        requests=lf.kubernetes.service.ResourceQuantity(cpu="0.2"),
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    ),
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)
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hpa = lf.kubernetes.HorizontalPodAutoscaler(
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    "hpa",
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    cluster=cluster,
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    target_name=service.name
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)
content_copy

initialization

Create a new HorizontalPodAutoscaler.

Args:

• name (str): The name of the resource.
• cluster (GKECluster): The cluster to create the resource in.
• target_name (str): The name of the target deployment.
• namespace (str): The namespace to create the resource in. Default is "default".
• min_replicas (int): The minimum number of replicas. Default is 1.
• max_replicas (int): The maximum number of replicas. Default is 10.
• resource_metrics (List[ResourceMetric]): List ResourceMetrics to use for scaling. Default is CPU utilization at 60%.