AWS CLI version 2, the latest major version of AWS CLI, is now stable and recommended for general use. To view this page for the AWS CLI version 2, click here. For more information see the AWS CLI version 2 installation instructions and migration guide.
describe-app
--domain-id <value>
[--user-profile-name <value>]
[--space-name <value>]
--app-type <value>
--app-name <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
--domain-id
(string)
The domain ID.
--user-profile-name
(string)
The user profile name. If this value is not set, thenSpaceName
must be set.
--space-name
(string)
The name of the space.
--app-type
(string)
The type of app.
Possible values:
JupyterServer
KernelGateway
DetailedProfiler
TensorBoard
CodeEditor
JupyterLab
RStudioServerPro
RSessionGateway
Canvas
--app-name
(string)
The name of the app.
--cli-input-json
(string)
Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command's default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
AppArn -> (string)
The Amazon Resource Name (ARN) of the app.
AppType -> (string)
The type of app.
AppName -> (string)
The name of the app.
DomainId -> (string)
The domain ID.
UserProfileName -> (string)
The user profile name.
SpaceName -> (string)
The name of the space. If this value is not set, thenUserProfileName
must be set.
Status -> (string)
The status.
LastHealthCheckTimestamp -> (timestamp)
The timestamp of the last health check.
LastUserActivityTimestamp -> (timestamp)
The timestamp of the last user's activity.LastUserActivityTimestamp
is also updated when SageMaker AI performs health checks without user activity. As a result, this value is set to the same value asLastHealthCheckTimestamp
.
CreationTime -> (timestamp)
The creation time of the application.
Note
After an application has been shut down for 24 hours, SageMaker AI deletes all metadata for the application. To be considered an update and retain application metadata, applications must be restarted within 24 hours after the previous application has been shut down. After this time window, creation of an application is considered a new application rather than an update of the previous application.
FailureReason -> (string)
The failure reason.
ResourceSpec -> (structure)
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
SageMakerImageArn -> (string)
The ARN of the SageMaker AI image that the image version belongs to.SageMakerImageVersionArn -> (string)
The ARN of the image version created on the instance.SageMakerImageVersionAlias -> (string)
The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.InstanceType -> (string)
The instance type that the image version runs on.
Note
JupyterServer apps only support thesystem
value.For KernelGateway apps , the
system
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.LifecycleConfigArn -> (string)
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
BuiltInLifecycleConfigArn -> (string)
The lifecycle configuration that runs before the default lifecycle configuration