CfnFleet
- class aws_cdk.aws_codebuild.CfnFleet(scope, id, *, base_capacity=None, compute_configuration=None, compute_type=None, environment_type=None, fleet_proxy_configuration=None, fleet_service_role=None, fleet_vpc_config=None, image_id=None, name=None, overflow_behavior=None, scaling_configuration=None, tags=None)
Bases:
CfnResourceThe
AWS::CodeBuild::Fleetresource configures a compute fleet, a set of dedicated instances for your build environment.- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codebuild-fleet.html
- CloudformationResource:
AWS::CodeBuild::Fleet
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild cfn_fleet = codebuild.CfnFleet(self, "MyCfnFleet", base_capacity=123, compute_configuration=codebuild.CfnFleet.ComputeConfigurationProperty( disk=123, machine_type="machineType", memory=123, v_cpu=123 ), compute_type="computeType", environment_type="environmentType", fleet_proxy_configuration=codebuild.CfnFleet.ProxyConfigurationProperty( default_behavior="defaultBehavior", ordered_proxy_rules=[codebuild.CfnFleet.FleetProxyRuleProperty( effect="effect", entities=["entities"], type="type" )] ), fleet_service_role="fleetServiceRole", fleet_vpc_config=codebuild.CfnFleet.VpcConfigProperty( security_group_ids=["securityGroupIds"], subnets=["subnets"], vpc_id="vpcId" ), image_id="imageId", name="name", overflow_behavior="overflowBehavior", scaling_configuration=codebuild.CfnFleet.ScalingConfigurationInputProperty( max_capacity=123, scaling_type="scalingType", target_tracking_scaling_configs=[codebuild.CfnFleet.TargetTrackingScalingConfigurationProperty( metric_type="metricType", target_value=123 )] ), tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct) – Scope in which this resource is defined.id (
str) – Construct identifier for this resource (unique in its scope).base_capacity (
Union[int,float,None]) – The initial number of machines allocated to the compute fleet, which defines the number of builds that can run in parallel.compute_configuration (
Union[IResolvable,ComputeConfigurationProperty,Dict[str,Any],None]) – The compute configuration of the compute fleet. This is only required ifcomputeTypeis set toATTRIBUTE_BASED_COMPUTE.compute_type (
Optional[str]) – Information about the compute resources the compute fleet uses. Available values include:. -ATTRIBUTE_BASED_COMPUTE: Specify the amount of vCPUs, memory, disk space, and the type of machine. .. epigraph:: If you useATTRIBUTE_BASED_COMPUTE, you must define your attributes by usingcomputeConfiguration. AWS CodeBuild will select the cheapest instance that satisfies your specified attributes. For more information, see Reserved capacity environment types in the AWS CodeBuild User Guide . -BUILD_GENERAL1_SMALL: Use up to 4 GiB memory and 2 vCPUs for builds. -BUILD_GENERAL1_MEDIUM: Use up to 8 GiB memory and 4 vCPUs for builds. -BUILD_GENERAL1_LARGE: Use up to 16 GiB memory and 8 vCPUs for builds, depending on your environment type. -BUILD_GENERAL1_XLARGE: Use up to 72 GiB memory and 36 vCPUs for builds, depending on your environment type. -BUILD_GENERAL1_2XLARGE: Use up to 144 GiB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed. -BUILD_LAMBDA_1GB: Use up to 1 GiB memory for builds. Only available for environment typeLINUX_LAMBDA_CONTAINERandARM_LAMBDA_CONTAINER. -BUILD_LAMBDA_2GB: Use up to 2 GiB memory for builds. Only available for environment typeLINUX_LAMBDA_CONTAINERandARM_LAMBDA_CONTAINER. -BUILD_LAMBDA_4GB: Use up to 4 GiB memory for builds. Only available for environment typeLINUX_LAMBDA_CONTAINERandARM_LAMBDA_CONTAINER. -BUILD_LAMBDA_8GB: Use up to 8 GiB memory for builds. Only available for environment typeLINUX_LAMBDA_CONTAINERandARM_LAMBDA_CONTAINER. -BUILD_LAMBDA_10GB: Use up to 10 GiB memory for builds. Only available for environment typeLINUX_LAMBDA_CONTAINERandARM_LAMBDA_CONTAINER. If you useBUILD_GENERAL1_SMALL: - For environment typeLINUX_CONTAINER, you can use up to 4 GiB memory and 2 vCPUs for builds. - For environment typeLINUX_GPU_CONTAINER, you can use up to 16 GiB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds. - For environment typeARM_CONTAINER, you can use up to 4 GiB memory and 2 vCPUs on ARM-based processors for builds. If you useBUILD_GENERAL1_LARGE: - For environment typeLINUX_CONTAINER, you can use up to 16 GiB memory and 8 vCPUs for builds. - For environment typeLINUX_GPU_CONTAINER, you can use up to 255 GiB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds. - For environment typeARM_CONTAINER, you can use up to 16 GiB memory and 8 vCPUs on ARM-based processors for builds. For more information, see On-demand environment types in the AWS CodeBuild User Guide.environment_type (
Optional[str]) – The environment type of the compute fleet. - The environment typeARM_CONTAINERis available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo). - The environment typeARM_EC2is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai). - The environment typeLINUX_CONTAINERis available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai). - The environment typeLINUX_EC2is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai). - The environment typeLINUX_GPU_CONTAINERis available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney). - The environment typeMAC_ARMis available only in regions US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Sydney). - The environment typeWINDOWS_EC2is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai). - The environment typeWINDOWS_SERVER_2019_CONTAINERis available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland). - The environment typeWINDOWS_SERVER_2022_CONTAINERis available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai). For more information, see Build environment compute types in the AWS CodeBuild user guide .fleet_proxy_configuration (
Union[IResolvable,ProxyConfigurationProperty,Dict[str,Any],None]) – Information about the proxy configurations that apply network access control to your reserved capacity instances.fleet_service_role (
Optional[str]) – The service role associated with the compute fleet. For more information, see Allow a user to add a permission policy for a fleet service role in the AWS CodeBuild User Guide .fleet_vpc_config (
Union[IResolvable,VpcConfigProperty,Dict[str,Any],None]) – Information about the VPC configuration that AWS CodeBuild accesses.image_id (
Optional[str]) – The Amazon Machine Image (AMI) of the compute fleet.name (
Optional[str]) – The name of the compute fleet.overflow_behavior (
Optional[str]) – The compute fleet overflow behavior. - For overflow behaviorQUEUE, your overflow builds need to wait on the existing fleet instance to become available. - For overflow behaviorON_DEMAND, your overflow builds run on CodeBuild on-demand. .. epigraph:: If you choose to set your overflow behavior to on-demand while creating a VPC-connected fleet, make sure that you add the required VPC permissions to your project service role. For more information, see Example policy statement to allow CodeBuild access to AWS services required to create a VPC network interface .scaling_configuration (
Union[IResolvable,ScalingConfigurationInputProperty,Dict[str,Any],None]) – The scaling configuration of the compute fleet.tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – A list of tag key and value pairs associated with this compute fleet. These tags are available for use by AWS services that support AWS CodeBuild compute fleet tags.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined).- Parameters:
path (
str) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str) –value (
Any) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverrideor prefixpathwith “Properties.” (i.e.Properties.TopicName).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.in the property name, prefix with a\. In most programming languages you will need to write this as"\\."because the\itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
valueargument toaddOverridewill not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value).- Parameters:
property_path (
str) – The path of the property.value (
Any) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional[RemovalPolicy]) –apply_to_update_replace_policy (
Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str) – The name of the attribute.type_hint (
Optional[ResolutionTypeHint]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List[Union[Stack,CfnResource]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List[CfnResource]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource) – The dependency to replace.new_target (
CfnResource) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::CodeBuild::Fleet'
- attr_arn
The ARN of the compute fleet.
- CloudformationAttribute:
Arn
- base_capacity
The initial number of machines allocated to the compute fleet, which defines the number of builds that can run in parallel.
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- compute_configuration
The compute configuration of the compute fleet.
- compute_type
Information about the compute resources the compute fleet uses.
Available values include:.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- environment_type
The environment type of the compute fleet.
- fleet_proxy_configuration
Information about the proxy configurations that apply network access control to your reserved capacity instances.
- fleet_service_role
The service role associated with the compute fleet.
- fleet_vpc_config
Information about the VPC configuration that AWS CodeBuild accesses.
- image_id
The Amazon Machine Image (AMI) of the compute fleet.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId).- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- name
The name of the compute fleet.
- node
The tree node.
- overflow_behavior
The compute fleet overflow behavior.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref }).
- scaling_configuration
The scaling configuration of the compute fleet.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
A list of tag key and value pairs associated with this compute fleet.
Static Methods
- classmethod is_cfn_element(x)
Returns
trueif a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceofto allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any) –- Return type:
bool- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any) –- Return type:
bool
- classmethod is_construct(x)
Checks if
xis a construct.Use this method instead of
instanceofto properly detectConstructinstances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructslibrary on disk are seen as independent, completely different libraries. As a consequence, the classConstructin each copy of theconstructslibrary is seen as a different class, and an instance of one class will not test asinstanceofthe other class.npm installwill not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructslibrary can be accidentally installed, andinstanceofwill behave unpredictably. It is safest to avoid usinginstanceof, and using this type-testing method instead.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsConstruct.
ComputeConfigurationProperty
- class CfnFleet.ComputeConfigurationProperty(*, disk=None, machine_type=None, memory=None, v_cpu=None)
Bases:
objectContains compute attributes.
These attributes only need be specified when your project’s or fleet’s
computeTypeis set toATTRIBUTE_BASED_COMPUTE.- Parameters:
disk (
Union[int,float,None]) – The amount of disk space of the instance type included in your fleet.machine_type (
Optional[str]) – The machine type of the instance type included in your fleet.memory (
Union[int,float,None]) – The amount of memory of the instance type included in your fleet.v_cpu (
Union[int,float,None]) – The number of vCPUs of the instance type included in your fleet.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild compute_configuration_property = codebuild.CfnFleet.ComputeConfigurationProperty( disk=123, machine_type="machineType", memory=123, v_cpu=123 )
Attributes
- disk
The amount of disk space of the instance type included in your fleet.
- machine_type
The machine type of the instance type included in your fleet.
- memory
The amount of memory of the instance type included in your fleet.
- v_cpu
The number of vCPUs of the instance type included in your fleet.
FleetProxyRuleProperty
- class CfnFleet.FleetProxyRuleProperty(*, effect=None, entities=None, type=None)
Bases:
objectInformation about the proxy rule for your reserved capacity instances.
- Parameters:
effect (
Optional[str]) – The behavior of the proxy rule.entities (
Optional[Sequence[str]]) – The destination of the proxy rule.type (
Optional[str]) – The type of proxy rule.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild fleet_proxy_rule_property = codebuild.CfnFleet.FleetProxyRuleProperty( effect="effect", entities=["entities"], type="type" )
Attributes
- effect
The behavior of the proxy rule.
- entities
The destination of the proxy rule.
ProxyConfigurationProperty
- class CfnFleet.ProxyConfigurationProperty(*, default_behavior=None, ordered_proxy_rules=None)
Bases:
objectInformation about the proxy configurations that apply network access control to your reserved capacity instances.
- Parameters:
default_behavior (
Optional[str]) – The default behavior of outgoing traffic.ordered_proxy_rules (
Union[IResolvable,Sequence[Union[IResolvable,FleetProxyRuleProperty,Dict[str,Any]]],None]) – An array ofFleetProxyRuleobjects that represent the specified destination domains or IPs to allow or deny network access control to.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild proxy_configuration_property = codebuild.CfnFleet.ProxyConfigurationProperty( default_behavior="defaultBehavior", ordered_proxy_rules=[codebuild.CfnFleet.FleetProxyRuleProperty( effect="effect", entities=["entities"], type="type" )] )
Attributes
- default_behavior
The default behavior of outgoing traffic.
- ordered_proxy_rules
An array of
FleetProxyRuleobjects that represent the specified destination domains or IPs to allow or deny network access control to.
ScalingConfigurationInputProperty
- class CfnFleet.ScalingConfigurationInputProperty(*, max_capacity=None, scaling_type=None, target_tracking_scaling_configs=None)
Bases:
objectThe scaling configuration input of a compute fleet.
- Parameters:
max_capacity (
Union[int,float,None]) – The maximum number of instances in the fleet when auto-scaling.scaling_type (
Optional[str]) – The scaling type for a compute fleet.target_tracking_scaling_configs (
Union[IResolvable,Sequence[Union[IResolvable,TargetTrackingScalingConfigurationProperty,Dict[str,Any]]],None]) – A list ofTargetTrackingScalingConfigurationobjects.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild scaling_configuration_input_property = codebuild.CfnFleet.ScalingConfigurationInputProperty( max_capacity=123, scaling_type="scalingType", target_tracking_scaling_configs=[codebuild.CfnFleet.TargetTrackingScalingConfigurationProperty( metric_type="metricType", target_value=123 )] )
Attributes
- max_capacity
The maximum number of instances in the fleet when auto-scaling.
- scaling_type
The scaling type for a compute fleet.
- target_tracking_scaling_configs
A list of
TargetTrackingScalingConfigurationobjects.
TargetTrackingScalingConfigurationProperty
- class CfnFleet.TargetTrackingScalingConfigurationProperty(*, metric_type=None, target_value=None)
Bases:
objectDefines when a new instance is auto-scaled into the compute fleet.
- Parameters:
metric_type (
Optional[str]) – The metric type to determine auto-scaling.target_value (
Union[int,float,None]) – The value ofmetricTypewhen to start scaling.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild target_tracking_scaling_configuration_property = codebuild.CfnFleet.TargetTrackingScalingConfigurationProperty( metric_type="metricType", target_value=123 )
Attributes
- metric_type
The metric type to determine auto-scaling.
- target_value
The value of
metricTypewhen to start scaling.
VpcConfigProperty
- class CfnFleet.VpcConfigProperty(*, security_group_ids=None, subnets=None, vpc_id=None)
Bases:
objectInformation about the VPC configuration that AWS CodeBuild accesses.
- Parameters:
security_group_ids (
Optional[Sequence[str]]) – A list of one or more security groups IDs in your Amazon VPC.subnets (
Optional[Sequence[str]]) – A list of one or more subnet IDs in your Amazon VPC.vpc_id (
Optional[str]) – The ID of the Amazon VPC.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_codebuild as codebuild vpc_config_property = codebuild.CfnFleet.VpcConfigProperty( security_group_ids=["securityGroupIds"], subnets=["subnets"], vpc_id="vpcId" )
Attributes
- security_group_ids
A list of one or more security groups IDs in your Amazon VPC.
- subnets
A list of one or more subnet IDs in your Amazon VPC.
- vpc_id
The ID of the Amazon VPC.