AWS CodeDeploy Construct Library

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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:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_codedeploy as codedeploy

application = codedeploy.ServerApplication(self, "CodeDeployApplication",
    application_name="MyApplication"
)

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To import an already existing Application:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
application = codedeploy.ServerApplication.from_server_application_name(self, "ExistingCodeDeployApplication", "MyExistingApplication")

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EC2/on-premise Deployment Groups

To create a new CodeDeploy Deployment Group that deploys to EC2/on-premise instances:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_group = codedeploy.ServerDeploymentGroup(self, "CodeDeployDeploymentGroup",
    application=application,
    deployment_group_name="MyDeploymentGroup",
    auto_scaling_groups=[asg1, asg2],
    # 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=[
        cloudwatch.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={
        "failed_deployment": True, # default: true
        "stopped_deployment": True, # default: false
        "deployment_in_alarm": True
    }
)

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All properties are optional - if you don’t provide an Application, one will be automatically created.

To import an already existing Deployment Group:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_group = codedeploy.ServerDeploymentGroup.from_lambda_deployment_group_attributes(self, "ExistingCodeDeployDeploymentGroup",
    application=application,
    deployment_group_name="MyExistingDeploymentGroup"
)

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Load balancers

You can specify a load balancer 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:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_elasticloadbalancing as lb

elb = lb.LoadBalancer(self, "ELB")
elb.add_target()
elb.add_listener()

deployment_group = codedeploy.ServerDeploymentGroup(self, "DeploymentGroup",
    load_balancer=codedeploy.LoadBalancer.classic(elb)
)

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With Application Load Balancer or Network Load Balancer, you provide a Target Group as the load balancer:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_elasticloadbalancingv2 as lbv2

alb = lbv2.ApplicationLoadBalancer(self, "ALB")
listener = alb.add_listener("Listener")
target_group = listener.add_targets("Fleet")

deployment_group = codedeploy.ServerDeploymentGroup(self, "DeploymentGroup",
    load_balancer=codedeploy.LoadBalancer.application(target_group)
)

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Deployment Configurations

You can also pass a Deployment Configuration when creating the Deployment Group:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_group = codedeploy.ServerDeploymentGroup(self, "CodeDeployDeploymentGroup",
    deployment_config=codedeploy.ServerDeploymentConfig.ALL_AT_ONCE
)

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The default Deployment Configuration is ServerDeploymentConfig.ONE_AT_A_TIME.

You can also create a custom Deployment Configuration:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
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
    min_healthy_host_count=2,
    min_healthy_host_percentage=75
)

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Or import an existing one:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_config = codedeploy.ServerDeploymentConfig.from_server_deployment_config_name(self, "ExistingDeploymentConfiguration", "MyExistingDeploymentConfiguration")

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Lambda Applications

To create a new CodeDeploy Application that deploys to a Lambda function:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_codedeploy as codedeploy

application = codedeploy.LambdaApplication(self, "CodeDeployApplication",
    application_name="MyApplication"
)

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To import an already existing Application:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
application = codedeploy.LambdaApplication.from_lambda_application_name(self, "ExistingCodeDeployApplication", "MyExistingApplication")

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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:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_codedeploy as codedeploy
import aws_cdk.aws_lambda as lambda

my_application = codedeploy.LambdaApplication()
func = lambda.Function()
version = func.add_version("1")
version1_alias = lambda.Alias(self, "alias",
    alias_name="prod",
    version=version
)

deployment_group = codedeploy.LambdaDeploymentGroup(stack, "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
)

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In order to deploy a new version of this function:

  1. Increment the version, e.g. const version = func.addVersion('2').

  2. Re-deploy the stack (this will trigger a deployment).

  3. Monitor the CodeDeploy deployment as traffic shifts between the versions.

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:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_group = codedeploy.LambdaDeploymentGroup(stack, "BlueGreenDeployment",
    alias=alias,
    deployment_config=codedeploy.LambdaDeploymentConfig.LINEAR_10PERCENT_EVERY_1MINUTE,
    alarms=[
        # pass some alarms when constructing the deployment group
        cloudwatch.Alarm(stack, "Errors",
            comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
            threshold=1,
            evaluation_periods=1,
            metric=alias.metric_errors()
        )
    ]
)

# or add alarms to an existing group
deployment_group.add_alarm(cloudwatch.Alarm(stack, "BlueGreenErrors",
    comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
    threshold=1,
    evaluation_periods=1,
    metric=blue_green_alias.metric_errors()
))

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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.

# Example automatically generated. See https://github.com/aws/jsii/issues/826
warm_up_user_cache = lambda.Function()
end_to_end_validation = lambda.Function()

# pass a hook whe creating the deployment group
deployment_group = codedeploy.LambdaDeploymentGroup(stack, "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.on_post_hook(end_to_end_validation)

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Import an existing Deployment Group

To import an already existing Deployment Group:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
deployment_group = codedeploy.LambdaDeploymentGroup.import(self, "ExistingCodeDeployDeploymentGroup",
    application=application,
    deployment_group_name="MyExistingDeploymentGroup"
)

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