def deploy_socket_server(name,
namespace,
log_file_folder_path,
log_file_name,
broker_address,
broker_topic_prefix,
broker_output_topic_prefix,
num_of_cars,
target_node_port,
cpu_limit=2,
memory_limit="10G"):
if not kube_client.is_namespace_exist(namespace):
kube_client.create_namespace(namespace)
if kube_client.is_service_exist(name, namespace):
kube_client.delete_service(name, namespace)
if kube_client.is_deployment_exist(name, namespace):
kube_client.delete_deployment(name, namespace)
kube_client.create_deployment(
__get_socket_server_pod_body(name, namespace, log_file_folder_path,
log_file_name, broker_address,
broker_topic_prefix,
broker_output_topic_prefix, num_of_cars,
cpu_limit, memory_limit), namespace)
resp = kube_client.create_service(
__get_socket_server_service_body(name, namespace, target_node_port),
namespace)
print('SocketServer %s has been deployed.' % name)
print(
"\tInside cluster use: %s.%s.svc.cluster.local:%s\n\tOutside the cluster use node-ip:%s"
% (name, namespace, '5000', target_node_port))
def deploy_tf_serving(name, namespace, grpc_port, rest_port, models_dir,
model_name):
if not kube_client.is_namespace_exist(namespace):
kube_client.create_namespace(namespace)
if kube_client.is_service_exist(name, namespace):
kube_client.delete_service(name, namespace)
if kube_client.is_deployment_exist(name, namespace):
kube_client.delete_deployment(name, namespace)
kube_client.create_deployment(
__get_tf_serving_deployment_body(name, namespace, grpc_port, rest_port,
models_dir, model_name), namespace)
resp = kube_client.create_service(
__get_tf_serving_service_body(name, namespace, grpc_port, rest_port),
namespace)
print('TensorFlow Serving %s has been deployed.' % name)
print(
"\tUse: %s.%s.svc.cluster.local:%s for the grpc and %s fot the rest api."
% (name, namespace, str(grpc_port), str(rest_port)))
print(
"\tNote that TFServing is not accessible from the outside with this configuration"
)
def deploy_dashboard(name, namespace, socket_server_ip, socket_server_port):
if not kube_client.is_namespace_exist(namespace):
kube_client.create_namespace(namespace)
if kube_client.is_service_exist(name, namespace):
kube_client.delete_service(name, namespace)
if kube_client.is_deployment_exist(name, namespace):
kube_client.delete_deployment(name, namespace)
kube_client.create_deployment(
__get_dashboard_deployment_body(name, namespace, socket_server_ip,
socket_server_port), namespace)
resp = kube_client.create_service(
__get_dashboard_service_body(name, namespace), namespace)
for i in resp.spec.ports:
if i.name == 'dashboard-port':
node_port = i.node_port
port = i.port
break
print(
'IndyCar Dashboard %s has been deployed. It might take several minutes to run'
% name)
print(
"\tUse: %s.%s.svc.cluster.local:%s for internal access\n\tOutside the cluster use node-ip:%s"
% (name, namespace, str(port), str(node_port)))
def delete_dashboard(name, namespace):
if kube_client.is_service_exist(name, namespace):
kube_client.delete_service(name, namespace)
if kube_client.is_deployment_exist(name, namespace):
kube_client.delete_deployment(name, namespace)
print('Dashboard %s has been deleted.' % name)
def delete_socket_server(name, namespace):
if kube_client.is_service_exist(name, namespace):
kube_client.delete_service(name, namespace)
if kube_client.is_deployment_exist(name, namespace):
kube_client.delete_deployment(name, namespace)
print('SocketServer %s has been deleted.' % name)