StudioLifecycleConfigArgs

data class StudioLifecycleConfigArgs(val studioLifecycleConfigAppType: Output<String>? = null, val studioLifecycleConfigContent: Output<String>? = null, val studioLifecycleConfigName: Output<String>? = null, val tags: Output<Map<String, String>>? = null) : ConvertibleToJava<StudioLifecycleConfigArgs>

Provides a SageMaker AI Studio Lifecycle Config resource.

Example Usage

Basic usage

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as std from "@pulumi/std";
const example = new aws.sagemaker.StudioLifecycleConfig("example", {
studioLifecycleConfigName: "example",
studioLifecycleConfigAppType: "JupyterServer",
studioLifecycleConfigContent: std.base64encode({
input: "echo Hello",
}).then(invoke => invoke.result),
});
import pulumi
import pulumi_aws as aws
import pulumi_std as std
example = aws.sagemaker.StudioLifecycleConfig("example",
studio_lifecycle_config_name="example",
studio_lifecycle_config_app_type="JupyterServer",
studio_lifecycle_config_content=std.base64encode(input="echo Hello").result)
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
using Std = Pulumi.Std;
return await Deployment.RunAsync(() =>
{
var example = new Aws.Sagemaker.StudioLifecycleConfig("example", new()
{
StudioLifecycleConfigName = "example",
StudioLifecycleConfigAppType = "JupyterServer",
StudioLifecycleConfigContent = Std.Base64encode.Invoke(new()
{
Input = "echo Hello",
}).Apply(invoke => invoke.Result),
});
});
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/sagemaker"
"github.com/pulumi/pulumi-std/sdk/go/std"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
invokeBase64encode, err := std.Base64encode(ctx, &std.Base64encodeArgs{
Input: "echo Hello",
}, nil)
if err != nil {
return err
}
_, err = sagemaker.NewStudioLifecycleConfig(ctx, "example", &sagemaker.StudioLifecycleConfigArgs{
StudioLifecycleConfigName: pulumi.String("example"),
StudioLifecycleConfigAppType: pulumi.String("JupyterServer"),
StudioLifecycleConfigContent: pulumi.String(invokeBase64encode.Result),
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.StudioLifecycleConfig;
import com.pulumi.aws.sagemaker.StudioLifecycleConfigArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new StudioLifecycleConfig("example", StudioLifecycleConfigArgs.builder()
.studioLifecycleConfigName("example")
.studioLifecycleConfigAppType("JupyterServer")
.studioLifecycleConfigContent(StdFunctions.base64encode(Base64encodeArgs.builder()
.input("echo Hello")
.build()).result())
.build());
}
}
resources:
example:
type: aws:sagemaker:StudioLifecycleConfig
properties:
studioLifecycleConfigName: example
studioLifecycleConfigAppType: JupyterServer
studioLifecycleConfigContent:
fn::invoke:
function: std:base64encode
arguments:
input: echo Hello
return: result

Import

Using pulumi import, import SageMaker AI Studio Lifecycle Configs using the studio_lifecycle_config_name. For example:

$ pulumi import aws:sagemaker/studioLifecycleConfig:StudioLifecycleConfig example example

Constructors

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constructor(studioLifecycleConfigAppType: Output<String>? = null, studioLifecycleConfigContent: Output<String>? = null, studioLifecycleConfigName: Output<String>? = null, tags: Output<Map<String, String>>? = null)

Properties

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The App type that the Lifecycle Configuration is attached to. Valid values are JupyterServer, JupyterLab, CodeEditor and KernelGateway.

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The content of your Studio Lifecycle Configuration script. This content must be base64 encoded.

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val studioLifecycleConfigName: Output<String>? = null

The name of the Studio Lifecycle Configuration to create.

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val tags: Output<Map<String, String>>? = null

A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.

Functions

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open override fun toJava(): StudioLifecycleConfigArgs