Automatic deployment of the ElasticBeanstalk application using Bitbucket Pipelines

Bitbucket has a service (Bitbucket Pipelines), which among other things makes it extremely easy to organize automatic deployment of applications in the Amazon cloud, in particular, using ElasticBeanstallk. Who cares, I ask under the cat.

Prerequirements

You should already have an ElasticBeanstalk application created and deployed environments (to do this, refer to the AWS official documentation, like this, for example, Django is deployed ). Since the service is still being run-in, you need to request access to it here .

Project Setup

Suppose we have two branches, and master we want to deploy to the production environment, and development - to the development environment. Create a bitbucket-pipelines.yml file in the project root with the following contents:
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image: python:2.7.11 pipelines: branches: master: - step: script: - apt-get update # required to install zip - apt-get install -y zip # required for packaging up the application - pip install boto3==1.3.0 # required for beanstalk_deploy.py - zip -rv /tmp/artifact.zip ./* ./.ebextensions ./.elasticbeanstalk # package up the application for deployment - python beanstalk_deploy.py # run the deployment script development: - step: script: - apt-get update # required to install zip - apt-get install -y zip # required for packaging up the application - pip install boto3==1.3.0 # required for beanstalk_deploy.py - zip -rv /tmp/artifact.zip ./* ./.ebextensions ./.elasticbeanstalk # package up the application for deployment - python beanstalk_deploy.py # run the deployment script 

To manage the deployment process, I took the script from the example provided by Bitiucket and modified it in order to change the environment depending on the branch.

 # Copyright 2016 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file # except in compliance with the License. A copy of the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is distributed on an "AS IS" # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations under the License. """ A Bitbucket Builds template for deploying an application to AWS Elastic Beanstalk joshcb@amazon.com v1.0.0 """ from __future__ import print_function import os import sys from time import strftime, sleep import boto3 from botocore.exceptions import ClientError branch = os.getenv('BITBUCKET_BRANCH') ENVIRONMENT_MAP = { 'master': 'production', 'development': 'development' } 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 create_new_version(): """ Creates a new application version in AWS Elastic Beanstalk """ try: client = boto3.client('elasticbeanstalk') except ClientError as err: print("Failed to create boto3 client.\n" + str(err)) return False try: response = client.create_application_version( ApplicationName=os.getenv('APPLICATION_NAME'), VersionLabel=VERSION_LABEL, Description='New build from Bitbucket', SourceBundle={ 'S3Bucket': os.getenv('S3_BUCKET'), 'S3Key': BUCKET_KEY }, Process=True ) except ClientError as err: print("Failed to create application version.\n" + str(err)) return False try: if response['ResponseMetadata']['HTTPStatusCode'] is 200: return True else: print(response) return False except (KeyError, TypeError) as err: print(str(err)) return False def deploy_new_version(): """ Deploy a new version to AWS Elastic Beanstalk """ try: client = boto3.client('elasticbeanstalk') except ClientError as err: print("Failed to create boto3 client.\n" + str(err)) return False try: response = client.update_environment( ApplicationName=os.getenv('APPLICATION_NAME'), EnvironmentName=ENVIRONMENT_MAP.get(branch), VersionLabel=VERSION_LABEL, ) except ClientError as err: print("Failed to update environment.\n" + str(err)) return False print(response) return True def main(): " Your favorite wrapper's favorite wrapper " if not upload_to_s3('/tmp/artifact.zip'): sys.exit(1) if not create_new_version(): sys.exit(1) # Wait for the new version to be consistent before deploying sleep(5) if not deploy_new_version(): sys.exit(1) if __name__ == "__main__": main() 

Configure Bitbucket

Create the necessary environment variables:



S3_BUCKET specify the one that is used to deploy the application in this region and account. After that we get working pipelines: