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توضیحات

The CDK Construct Library for AWS::CodeDeploy

ویژگی	مقدار
سیستم عامل	-
نام فایل	aws-cdk.aws-codedeploy-1.99.0
نام	aws-cdk.aws-codedeploy
نسخه کتابخانه	1.99.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Amazon Web Services
ایمیل نویسنده	-
آدرس صفحه اصلی	https://github.com/aws/aws-cdk
آدرس اینترنتی	https://pypi.org/project/aws-cdk.aws-codedeploy/
مجوز	Apache-2.0

# AWS CodeDeploy Construct Library --- ![cfn-resources: Stable](https://img.shields.io/badge/cfn--resources-stable-success.svg?style=for-the-badge) ![cdk-constructs: Stable](https://img.shields.io/badge/cdk--constructs-stable-success.svg?style=for-the-badge) ---  AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services. The CDK currently supports Amazon EC2, on-premise and AWS Lambda applications. ## EC2/on-premise Applications To create a new CodeDeploy Application that deploys to EC2/on-premise instances: ```python application = codedeploy.ServerApplication(self, "CodeDeployApplication", application_name="MyApplication" ) ``` To import an already existing Application: ```python application = codedeploy.ServerApplication.from_server_application_name(self, "ExistingCodeDeployApplication", "MyExistingApplication") ``` ## EC2/on-premise Deployment Groups To create a new CodeDeploy Deployment Group that deploys to EC2/on-premise instances: ```python import aws_cdk.aws_autoscaling as autoscaling import aws_cdk.aws_cloudwatch as cloudwatch # application: codedeploy.ServerApplication # asg: autoscaling.AutoScalingGroup # alarm: cloudwatch.Alarm deployment_group = codedeploy.ServerDeploymentGroup(self, "CodeDeployDeploymentGroup", application=application, deployment_group_name="MyDeploymentGroup", auto_scaling_groups=[asg], # adds User Data that installs the CodeDeploy agent on your auto-scaling groups hosts # default: true install_agent=True, # adds EC2 instances matching tags ec2_instance_tags=codedeploy.InstanceTagSet({ # any instance with tags satisfying # key1=v1 or key1=v2 or key2 (any value) or value v3 (any key) # will match this group "key1": ["v1", "v2"], "key2": [], "": ["v3"] }), # adds on-premise instances matching tags on_premise_instance_tags=codedeploy.InstanceTagSet({ "key1": ["v1", "v2"] }, { "key2": ["v3"] }), # CloudWatch alarms alarms=[alarm], # whether to ignore failure to fetch the status of alarms from CloudWatch # default: false ignore_poll_alarms_failure=False, # auto-rollback configuration auto_rollback=codedeploy.AutoRollbackConfig( failed_deployment=True, # default: true stopped_deployment=True, # default: false deployment_in_alarm=True ) ) ``` All properties are optional - if you don't provide an Application, one will be automatically created. To import an already existing Deployment Group: ```python # application: codedeploy.ServerApplication deployment_group = codedeploy.ServerDeploymentGroup.from_server_deployment_group_attributes(self, "ExistingCodeDeployDeploymentGroup", application=application, deployment_group_name="MyExistingDeploymentGroup" ) ``` ### Load balancers You can [specify a load balancer](https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-elastic-load-balancing.html) with the `loadBalancer` property when creating a Deployment Group. `LoadBalancer` is an abstract class with static factory methods that allow you to create instances of it from various sources. With Classic Elastic Load Balancer, you provide it directly: ```python import aws_cdk.aws_elasticloadbalancing as elb # lb: elb.LoadBalancer lb.add_listener( external_port=80 ) deployment_group = codedeploy.ServerDeploymentGroup(self, "DeploymentGroup", load_balancer=codedeploy.LoadBalancer.classic(lb) ) ``` With Application Load Balancer or Network Load Balancer, you provide a Target Group as the load balancer: ```python import aws_cdk.aws_elasticloadbalancingv2 as elbv2 # alb: elbv2.ApplicationLoadBalancer listener = alb.add_listener("Listener", port=80) target_group = listener.add_targets("Fleet", port=80) deployment_group = codedeploy.ServerDeploymentGroup(self, "DeploymentGroup", load_balancer=codedeploy.LoadBalancer.application(target_group) ) ``` ## Deployment Configurations You can also pass a Deployment Configuration when creating the Deployment Group: ```python deployment_group = codedeploy.ServerDeploymentGroup(self, "CodeDeployDeploymentGroup", deployment_config=codedeploy.ServerDeploymentConfig.ALL_AT_ONCE ) ``` The default Deployment Configuration is `ServerDeploymentConfig.ONE_AT_A_TIME`. You can also create a custom Deployment Configuration: ```python deployment_config = codedeploy.ServerDeploymentConfig(self, "DeploymentConfiguration", deployment_config_name="MyDeploymentConfiguration", # optional property # one of these is required, but both cannot be specified at the same time minimum_healthy_hosts=codedeploy.MinimumHealthyHosts.count(2) ) ``` Or import an existing one: ```python deployment_config = codedeploy.ServerDeploymentConfig.from_server_deployment_config_name(self, "ExistingDeploymentConfiguration", "MyExistingDeploymentConfiguration") ``` ## Lambda Applications To create a new CodeDeploy Application that deploys to a Lambda function: ```python application = codedeploy.LambdaApplication(self, "CodeDeployApplication", application_name="MyApplication" ) ``` To import an already existing Application: ```python application = codedeploy.LambdaApplication.from_lambda_application_name(self, "ExistingCodeDeployApplication", "MyExistingApplication") ``` ## Lambda Deployment Groups To enable traffic shifting deployments for Lambda functions, CodeDeploy uses Lambda Aliases, which can balance incoming traffic between two different versions of your function. Before deployment, the alias sends 100% of invokes to the version used in production. When you publish a new version of the function to your stack, CodeDeploy will send a small percentage of traffic to the new version, monitor, and validate before shifting 100% of traffic to the new version. To create a new CodeDeploy Deployment Group that deploys to a Lambda function: ```python # my_application: codedeploy.LambdaApplication # func: lambda.Function version = func.current_version version1_alias = lambda_.Alias(self, "alias", alias_name="prod", version=version ) deployment_group = codedeploy.LambdaDeploymentGroup(self, "BlueGreenDeployment", application=my_application, # optional property: one will be created for you if not provided alias=version1_alias, deployment_config=codedeploy.LambdaDeploymentConfig.LINEAR_10PERCENT_EVERY_1MINUTE ) ``` In order to deploy a new version of this function: 1. Reference the version with the latest changes `const version = func.currentVersion`. 2. Re-deploy the stack (this will trigger a deployment). 3. Monitor the CodeDeploy deployment as traffic shifts between the versions. ### Create a custom Deployment Config CodeDeploy for Lambda comes with built-in configurations for traffic shifting. If you want to specify your own strategy, you can do so with the CustomLambdaDeploymentConfig construct, letting you specify precisely how fast a new function version is deployed. ```python # application: codedeploy.LambdaApplication # alias: lambda.Alias config = codedeploy.CustomLambdaDeploymentConfig(self, "CustomConfig", type=codedeploy.CustomLambdaDeploymentConfigType.CANARY, interval=Duration.minutes(1), percentage=5 ) deployment_group = codedeploy.LambdaDeploymentGroup(self, "BlueGreenDeployment", application=application, alias=alias, deployment_config=config ) ``` You can specify a custom name for your deployment config, but if you do you will not be able to update the interval/percentage through CDK. ```python config = codedeploy.CustomLambdaDeploymentConfig(self, "CustomConfig", type=codedeploy.CustomLambdaDeploymentConfigType.CANARY, interval=Duration.minutes(1), percentage=5, deployment_config_name="MyDeploymentConfig" ) ``` ### Rollbacks and Alarms CodeDeploy will roll back if the deployment fails. You can optionally trigger a rollback when one or more alarms are in a failed state: ```python import aws_cdk.aws_cloudwatch as cloudwatch # alias: lambda.Alias # or add alarms to an existing group # blue_green_alias: lambda.Alias alarm = cloudwatch.Alarm(self, "Errors", comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD, threshold=1, evaluation_periods=1, metric=alias.metric_errors() ) deployment_group = codedeploy.LambdaDeploymentGroup(self, "BlueGreenDeployment", alias=alias, deployment_config=codedeploy.LambdaDeploymentConfig.LINEAR_10PERCENT_EVERY_1MINUTE, alarms=[alarm ] ) deployment_group.add_alarm(cloudwatch.Alarm(self, "BlueGreenErrors", comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD, threshold=1, evaluation_periods=1, metric=blue_green_alias.metric_errors() )) ``` ### Pre and Post Hooks CodeDeploy allows you to run an arbitrary Lambda function before traffic shifting actually starts (PreTraffic Hook) and after it completes (PostTraffic Hook). With either hook, you have the opportunity to run logic that determines whether the deployment must succeed or fail. For example, with PreTraffic hook you could run integration tests against the newly created Lambda version (but not serving traffic). With PostTraffic hook, you could run end-to-end validation checks. ```python # warm_up_user_cache: lambda.Function # end_to_end_validation: lambda.Function # alias: lambda.Alias # pass a hook whe creating the deployment group deployment_group = codedeploy.LambdaDeploymentGroup(self, "BlueGreenDeployment", alias=alias, deployment_config=codedeploy.LambdaDeploymentConfig.LINEAR_10PERCENT_EVERY_1MINUTE, pre_hook=warm_up_user_cache ) # or configure one on an existing deployment group deployment_group.add_post_hook(end_to_end_validation) ``` ### Import an existing Deployment Group To import an already existing Deployment Group: ```python # application: codedeploy.LambdaApplication deployment_group = codedeploy.LambdaDeploymentGroup.from_lambda_deployment_group_attributes(self, "ExistingCodeDeployDeploymentGroup", application=application, deployment_group_name="MyExistingDeploymentGroup" ) ```

نیازمندی

مقدار	نام
==1.200.0	aws-cdk.aws-autoscaling
==1.200.0	aws-cdk.aws-cloudwatch
==1.200.0	aws-cdk.aws-ec2
==1.200.0	aws-cdk.aws-elasticloadbalancing
==1.200.0	aws-cdk.aws-elasticloadbalancingv2
==1.200.0	aws-cdk.aws-iam
==1.200.0	aws-cdk.aws-lambda
==1.200.0	aws-cdk.aws-s3
==1.200.0	aws-cdk.core
==1.200.0	aws-cdk.custom-resources
<4.0.0,>=3.3.69	constructs
<2.0.0,>=1.74.0	jsii
>=0.0.3	publication
~=2.13.3	typeguard

زبان مورد نیاز

مقدار	نام
~=3.7	Python

نحوه نصب

نصب پکیج whl aws-cdk.aws-codedeploy-1.99.0:

pip install aws-cdk.aws-codedeploy-1.99.0.whl

نصب پکیج tar.gz aws-cdk.aws-codedeploy-1.99.0:

pip install aws-cdk.aws-codedeploy-1.99.0.tar.gz