Kubernetes Deployment¶
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class
conu.backend.k8s.deployment.
Deployment
(name=None, selector=None, labels=None, image_metadata=None, namespace='default', create_in_cluster=False, from_template=None)¶ -
__init__
(name=None, selector=None, labels=None, image_metadata=None, namespace='default', create_in_cluster=False, from_template=None)¶ Utility functions for kubernetes deployments.
Parameters: - name – str, name of the deployment
- selector – Label selector for pods. Existing ReplicaSets whose pods are selected by this will be the ones affected by this deployment. It must match the pod template’s labels
- labels – dict, dict of labels
- image_metadata – ImageMetadata
- namespace – str, name of the namespace
- create_in_cluster – bool, if True deployment is created in Kubernetes cluster
- from_template – str, deployment template, example: - https://kubernetes.io/docs/concepts/workloads/controllers/deployment/
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all_pods_ready
()¶ Check if number of replicas with same selector is equals to number of ready replicas :return: bool
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create_in_cluster
()¶ call Kubernetes API and create this Deployment in cluster, raise ConuException if the API call fails :return: None
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delete
()¶ delete Deployment from the Kubernetes cluster :return: None
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get_status
()¶ get status of the Deployment :return: V1DeploymentStatus, https://git.io/vhKE3
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wait
(timeout=15)¶ block until all replicas are not ready, raises an exc ProbeTimeout if timeout is reached :param timeout: int or float (seconds), time to wait for pods to run :return: None
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