Interface IAmazonLinuxImageSsmParameterBaseOptions
Base options for amazon linux ssm parameters.
Namespace: Amazon.CDK.AWS.EC2
Assembly: Amazon.CDK.Lib.dll
Syntax (csharp)
public interface IAmazonLinuxImageSsmParameterBaseOptions
Syntax (vb)
Public Interface IAmazonLinuxImageSsmParameterBaseOptions
Remarks
ExampleMetadata: fixture=_generated
Examples
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
using Amazon.CDK.AWS.EC2;
UserData userData;
var amazonLinuxImageSsmParameterBaseOptions = new AmazonLinuxImageSsmParameterBaseOptions {
AdditionalCacheKey = "additionalCacheKey",
CachedInContext = false,
UserData = userData
};
Synopsis
Properties
| AdditionalCacheKey | Adds an additional discriminator to the |
| CachedInContext | Whether the AMI ID is cached to be stable between deployments. |
| UserData | Initial user data. |
Properties
AdditionalCacheKey
Adds an additional discriminator to the cdk.context.json cache key.
string? AdditionalCacheKey { get; }
Property Value
Remarks
Default: - no additional cache key
CachedInContext
Whether the AMI ID is cached to be stable between deployments.
bool? CachedInContext { get; }
Property Value
bool?
Remarks
By default, the newest image is used on each deployment. This will cause instances to be replaced whenever a new version is released, and may cause downtime if there aren't enough running instances in the AutoScalingGroup to reschedule the tasks on.
If set to true, the AMI ID will be cached in cdk.context.json and the
same value will be used on future runs. Your instances will not be replaced
but your AMI version will grow old over time. To refresh the AMI lookup,
you will have to evict the value from the cache using the cdk context
command. See https://docs.aws.amazon.com/cdk/latest/guide/context.html for
more information.
Can not be set to true in environment-agnostic stacks.
Default: false
UserData
Initial user data.
UserData? UserData { get; }
Property Value
Remarks
Default: - Empty UserData for Linux machines