我正在用bitbucket和amazon ec2代码部署创建CD
我正在使用来自亚马逊的管道[管道][1]
from __future__ import print_function
import os
import sys
from time import strftime, sleep
import boto3
from botocore.exceptions import ClientError
VERSION_LABEL = strftime("%Y%m%d%H%M%S")
BUCKET_KEY = os.getenv('APPLICATION_NAME') + '/' + VERSION_LABEL + \
'-bitbucket_builds.zip'
def upload_to_s3(artifact):
"""
Uploads an artifact to Amazon S3
"""
try:
client = boto3.client('s3')
except ClientError as err:
print("Failed to create boto3 client.\n" + str(err))
return False
try:
client.put_object(
Body=open(artifact, 'rb'),
Bucket=os.getenv('S3_BUCKET'),
Key=BUCKET_KEY
)
except ClientError as err:
print("Failed to upload artifact to S3.\n" + str(err))
return False
except IOError as err:
print("Failed to access artifact.zip in this directory.\n" + str(err))
return False
return True
def deploy_new_revision():
"""
Deploy a new application revision to AWS CodeDeploy Deployment Group
"""
try:
client = boto3.client('codedeploy')
except ClientError as err:
print("Failed to create boto3 client.\n" + str(err))
return False
try:
response = client.create_deployment(
applicationName=str(os.getenv('APPLICATION_NAME')),
deploymentGroupName=str(os.getenv('DEPLOYMENT_GROUP_NAME')),
revision={
'revisionType': 'S3',
's3Location': {
'bucket': os.getenv('S3_BUCKET'),
'key': BUCKET_KEY,
'bundleType': 'zip'
}
},
deploymentConfigName=str(os.getenv('DEPLOYMENT_CONFIG')),
description='New deployment from BitBucket',
ignoreApplicationStopFailures=True
)
except ClientError as err:
print("Failed to deploy application revision.\n" + str(err))
return False
"""
Wait for deployment to complete
"""
while 1:
try:
deploymentResponse = client.get_deployment(
deploymentId=str(response['deploymentId'])
)
deploymentStatus=deploymentResponse['deploymentInfo']['status']
if deploymentStatus == 'Succeeded':
print ("Deployment Succeeded")
return True
elif (deploymentStatus == 'Failed') or (deploymentStatus == 'Stopped') :
print ("Deployment Failed")
return False
elif (deploymentStatus == 'InProgress') or (deploymentStatus == 'Queued') or (deploymentStatus == 'Created'):
continue
except ClientError as err:
print("Failed to deploy application revision.\n" + str(err))
return False
return True
def main():
if not upload_to_s3('/tmp/artifact.zip'):
sys.exit(1)
if not deploy_new_revision():
sys.exit(1)
if __name__ == "__main__":
main()
Failed to deploy application revision.
An error occurred (ThrottlingException) when calling the GetDeployment operation (reached max retries: 4): Rate exceeded
[1]: https://bitbucket.org/awslabs/amazon-ecs-bitbucket-pipelines-python/src/master/
当我像这样改变的时候
git push
我得到以下错误:
The overall deployment failed because too many individual instances failed deployment, too few healthy instances are available for deployment, or some instances in your deployment group are experiencing problems.
