def deploy_init_cluster(settings):
"""Provisions a GKE cluster, persistent disks, and any other prerequisites for deployment."""
print_separator("init-cluster")
# initialize the VM
if settings["DEPLOY_TO"] == "minikube":
_init_cluster_minikube(settings)
elif settings["DEPLOY_TO_PREFIX"] == "gcloud":
_init_cluster_gcloud(settings)
else:
raise ValueError("Unexpected DEPLOY_TO_PREFIX: %(DEPLOY_TO_PREFIX)s" % settings)
node_name = get_node_name()
if not node_name:
raise Exception("Unable to retrieve node name. Was the cluster created successfully?")
set_environment(settings["DEPLOY_TO"])
create_namespace(settings)
# print cluster info
run("kubectl cluster-info", verbose=True)
# wait for the cluster to initialize
for retry_i in range(1, 5):
try:
deploy_settings(settings)
break
except RuntimeError as e:
logger.error(("Error when deploying config maps: %(e)s. This sometimes happens when cluster is "
"initializing. Retrying...") % locals())
time.sleep(5)
def deploy_init_cluster(settings):
"""Provisions a GKE cluster, persistent disks, and any other prerequisites for deployment."""
print_separator("init-cluster")
# initialize the VM
if settings["DEPLOY_TO"] == "minikube":
_init_cluster_minikube(settings)
elif settings["DEPLOY_TO_PREFIX"] == "gcloud":
_init_cluster_gcloud(settings)
else:
raise ValueError("Unexpected DEPLOY_TO_PREFIX: %(DEPLOY_TO_PREFIX)s" %
settings)
node_name = get_node_name()
if not node_name:
raise Exception(
"Unable to retrieve node name. Was the cluster created successfully?"
)
set_environment(settings["DEPLOY_TO"])
create_namespace(settings)
# create priority classes - " Priority affects scheduling order of Pods and out-of-resource eviction ordering
# on the Node.... A PriorityClass is a non-namespaced object .. The higher the value, the higher the priority."
# (from https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass)
run("kubectl create priorityclass medium-priority --value=1000" % settings,
errors_to_ignore=["already exists"])
run("kubectl create priorityclass high-priority --value=10000" % settings,
errors_to_ignore=["already exists"])
# print cluster info
run("kubectl cluster-info", verbose=True)
# wait for the cluster to initialize
for retry_i in range(1, 5):
try:
deploy_settings(settings)
break
except RuntimeError as e:
logger.error((
"Error when deploying config maps: %(e)s. This sometimes happens when cluster is "
"initializing. Retrying...") % locals())
time.sleep(5)
def deploy_init_cluster(settings):
"""Provisions a GKE cluster, persistent disks, and any other prerequisites for deployment."""
print_separator("init-cluster")
# initialize the VM
if settings["DEPLOY_TO"] == "minikube":
_init_cluster_minikube(settings)
elif settings["DEPLOY_TO_PREFIX"] == "gcloud":
_init_cluster_gcloud(settings)
else:
raise ValueError("Unexpected DEPLOY_TO_PREFIX: %(DEPLOY_TO_PREFIX)s" % settings)
node_name = get_node_name()
if not node_name:
raise Exception("Unable to retrieve node name. Was the cluster created successfully?")
set_environment(settings["DEPLOY_TO"])
create_namespace(settings)
# create priority classes - " Priority affects scheduling order of Pods and out-of-resource eviction ordering
# on the Node.... A PriorityClass is a non-namespaced object .. The higher the value, the higher the priority."
# (from https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass)
run("kubectl create priorityclass medium-priority --value=1000" % settings, errors_to_ignore=["already exists"])
run("kubectl create priorityclass high-priority --value=10000" % settings, errors_to_ignore=["already exists"])
# print cluster info
run("kubectl cluster-info", verbose=True)
# wait for the cluster to initialize
for retry_i in range(1, 5):
try:
deploy_settings(settings)
break
except RuntimeError as e:
logger.error(("Error when deploying config maps: %(e)s. This sometimes happens when cluster is "
"initializing. Retrying...") % locals())
time.sleep(5)