NotebookInstanceLifecycleConfigurationArgs

data class NotebookInstanceLifecycleConfigurationArgs(val name: Output<String>? = null, val onCreate: Output<String>? = null, val onStart: Output<String>? = null) : ConvertibleToJava<NotebookInstanceLifecycleConfigurationArgs>

Provides a lifecycle configuration for SageMaker AI Notebook Instances.

Example Usage

Usage:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as std from "@pulumi/std";
const lc = new aws.sagemaker.NotebookInstanceLifecycleConfiguration("lc", {
name: "foo",
onCreate: std.base64encode({
input: "echo foo",
}).then(invoke => invoke.result),
onStart: std.base64encode({
input: "echo bar",
}).then(invoke => invoke.result),
});
import pulumi
import pulumi_aws as aws
import pulumi_std as std
lc = aws.sagemaker.NotebookInstanceLifecycleConfiguration("lc",
name="foo",
on_create=std.base64encode(input="echo foo").result,
on_start=std.base64encode(input="echo bar").result)
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
using Std = Pulumi.Std;
return await Deployment.RunAsync(() =>
{
var lc = new Aws.Sagemaker.NotebookInstanceLifecycleConfiguration("lc", new()
{
Name = "foo",
OnCreate = Std.Base64encode.Invoke(new()
{
Input = "echo foo",
}).Apply(invoke => invoke.Result),
OnStart = Std.Base64encode.Invoke(new()
{
Input = "echo bar",
}).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 foo",
}, nil)
if err != nil {
return err
}
invokeBase64encode1, err := std.Base64encode(ctx, &std.Base64encodeArgs{
Input: "echo bar",
}, nil)
if err != nil {
return err
}
_, err = sagemaker.NewNotebookInstanceLifecycleConfiguration(ctx, "lc", &sagemaker.NotebookInstanceLifecycleConfigurationArgs{
Name: pulumi.String("foo"),
OnCreate: pulumi.String(invokeBase64encode.Result),
OnStart: pulumi.String(invokeBase64encode1.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.NotebookInstanceLifecycleConfiguration;
import com.pulumi.aws.sagemaker.NotebookInstanceLifecycleConfigurationArgs;
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 lc = new NotebookInstanceLifecycleConfiguration("lc", NotebookInstanceLifecycleConfigurationArgs.builder()
.name("foo")
.onCreate(StdFunctions.base64encode(Base64encodeArgs.builder()
.input("echo foo")
.build()).result())
.onStart(StdFunctions.base64encode(Base64encodeArgs.builder()
.input("echo bar")
.build()).result())
.build());
}
}
resources:
lc:
type: aws:sagemaker:NotebookInstanceLifecycleConfiguration
properties:
name: foo
onCreate:
fn::invoke:
function: std:base64encode
arguments:
input: echo foo
return: result
onStart:
fn::invoke:
function: std:base64encode
arguments:
input: echo bar
return: result

Import

Using pulumi import, import models using the name. For example:

$ pulumi import aws:sagemaker/notebookInstanceLifecycleConfiguration:NotebookInstanceLifecycleConfiguration lc foo

Constructors

constructor(name: Output<String>? = null, onCreate: Output<String>? = null, onStart: Output<String>? = null)

Properties

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val name: Output<String>? = null

The name of the lifecycle configuration (must be unique). If omitted, this provider will assign a random, unique name.

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val onCreate: Output<String>? = null

A shell script (base64-encoded) that runs only once when the SageMaker AI Notebook Instance is created.

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val onStart: Output<String>? = null

A shell script (base64-encoded) that runs every time the SageMaker AI Notebook Instance is started including the time it's created.

Functions

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open override fun toJava(): NotebookInstanceLifecycleConfigurationArgs