aws.transcribe.LanguageModel
Explore with Pulumi AI
Resource for managing an AWS Transcribe LanguageModel.
This resource can take a significant amount of time to provision. See Language Model FAQ for more details.
Example Usage
Basic Usage
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const example = aws.iam.getPolicyDocument({
statements: [{
actions: ["sts:AssumeRole"],
principals: [{
type: "Service",
identifiers: ["transcribe.amazonaws.com"],
}],
}],
});
const exampleRole = new aws.iam.Role("example", {
name: "example",
assumeRolePolicy: example.then(example => example.json),
});
const testPolicy = new aws.iam.RolePolicy("test_policy", {
name: "example",
role: exampleRole.id,
policy: JSON.stringify({
Version: "2012-10-17",
Statement: [{
Action: [
"s3:GetObject",
"s3:ListBucket",
],
Effect: "Allow",
Resource: ["*"],
}],
}),
});
const exampleBucketV2 = new aws.s3.BucketV2("example", {
bucket: "example-transcribe",
forceDestroy: true,
});
const object = new aws.s3.BucketObjectv2("object", {
bucket: exampleBucketV2.id,
key: "transcribe/test1.txt",
source: new pulumi.asset.FileAsset("test1.txt"),
});
const exampleLanguageModel = new aws.transcribe.LanguageModel("example", {
modelName: "example",
baseModelName: "NarrowBand",
inputDataConfig: {
dataAccessRoleArn: exampleRole.arn,
s3Uri: pulumi.interpolate`s3://${exampleBucketV2.id}/transcribe/`,
},
languageCode: "en-US",
tags: {
ENVIRONMENT: "development",
},
});
import pulumi
import json
import pulumi_aws as aws
example = aws.iam.get_policy_document(statements=[{
"actions": ["sts:AssumeRole"],
"principals": [{
"type": "Service",
"identifiers": ["transcribe.amazonaws.com"],
}],
}])
example_role = aws.iam.Role("example",
name="example",
assume_role_policy=example.json)
test_policy = aws.iam.RolePolicy("test_policy",
name="example",
role=example_role.id,
policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": [
"s3:GetObject",
"s3:ListBucket",
],
"Effect": "Allow",
"Resource": ["*"],
}],
}))
example_bucket_v2 = aws.s3.BucketV2("example",
bucket="example-transcribe",
force_destroy=True)
object = aws.s3.BucketObjectv2("object",
bucket=example_bucket_v2.id,
key="transcribe/test1.txt",
source=pulumi.FileAsset("test1.txt"))
example_language_model = aws.transcribe.LanguageModel("example",
model_name="example",
base_model_name="NarrowBand",
input_data_config={
"data_access_role_arn": example_role.arn,
"s3_uri": example_bucket_v2.id.apply(lambda id: f"s3://{id}/transcribe/"),
},
language_code="en-US",
tags={
"ENVIRONMENT": "development",
})
package main
import (
"encoding/json"
"fmt"
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/iam"
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/s3"
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/transcribe"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
example, err := iam.GetPolicyDocument(ctx, &iam.GetPolicyDocumentArgs{
Statements: []iam.GetPolicyDocumentStatement{
{
Actions: []string{
"sts:AssumeRole",
},
Principals: []iam.GetPolicyDocumentStatementPrincipal{
{
Type: "Service",
Identifiers: []string{
"transcribe.amazonaws.com",
},
},
},
},
},
}, nil)
if err != nil {
return err
}
exampleRole, err := iam.NewRole(ctx, "example", &iam.RoleArgs{
Name: pulumi.String("example"),
AssumeRolePolicy: pulumi.String(example.Json),
})
if err != nil {
return err
}
tmpJSON0, err := json.Marshal(map[string]interface{}{
"Version": "2012-10-17",
"Statement": []map[string]interface{}{
map[string]interface{}{
"Action": []string{
"s3:GetObject",
"s3:ListBucket",
},
"Effect": "Allow",
"Resource": []string{
"*",
},
},
},
})
if err != nil {
return err
}
json0 := string(tmpJSON0)
_, err = iam.NewRolePolicy(ctx, "test_policy", &iam.RolePolicyArgs{
Name: pulumi.String("example"),
Role: exampleRole.ID(),
Policy: pulumi.String(json0),
})
if err != nil {
return err
}
exampleBucketV2, err := s3.NewBucketV2(ctx, "example", &s3.BucketV2Args{
Bucket: pulumi.String("example-transcribe"),
ForceDestroy: pulumi.Bool(true),
})
if err != nil {
return err
}
_, err = s3.NewBucketObjectv2(ctx, "object", &s3.BucketObjectv2Args{
Bucket: exampleBucketV2.ID(),
Key: pulumi.String("transcribe/test1.txt"),
Source: pulumi.NewFileAsset("test1.txt"),
})
if err != nil {
return err
}
_, err = transcribe.NewLanguageModel(ctx, "example", &transcribe.LanguageModelArgs{
ModelName: pulumi.String("example"),
BaseModelName: pulumi.String("NarrowBand"),
InputDataConfig: &transcribe.LanguageModelInputDataConfigArgs{
DataAccessRoleArn: exampleRole.Arn,
S3Uri: exampleBucketV2.ID().ApplyT(func(id string) (string, error) {
return fmt.Sprintf("s3://%v/transcribe/", id), nil
}).(pulumi.StringOutput),
},
LanguageCode: pulumi.String("en-US"),
Tags: pulumi.StringMap{
"ENVIRONMENT": pulumi.String("development"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var example = Aws.Iam.GetPolicyDocument.Invoke(new()
{
Statements = new[]
{
new Aws.Iam.Inputs.GetPolicyDocumentStatementInputArgs
{
Actions = new[]
{
"sts:AssumeRole",
},
Principals = new[]
{
new Aws.Iam.Inputs.GetPolicyDocumentStatementPrincipalInputArgs
{
Type = "Service",
Identifiers = new[]
{
"transcribe.amazonaws.com",
},
},
},
},
},
});
var exampleRole = new Aws.Iam.Role("example", new()
{
Name = "example",
AssumeRolePolicy = example.Apply(getPolicyDocumentResult => getPolicyDocumentResult.Json),
});
var testPolicy = new Aws.Iam.RolePolicy("test_policy", new()
{
Name = "example",
Role = exampleRole.Id,
Policy = JsonSerializer.Serialize(new Dictionary<string, object?>
{
["Version"] = "2012-10-17",
["Statement"] = new[]
{
new Dictionary<string, object?>
{
["Action"] = new[]
{
"s3:GetObject",
"s3:ListBucket",
},
["Effect"] = "Allow",
["Resource"] = new[]
{
"*",
},
},
},
}),
});
var exampleBucketV2 = new Aws.S3.BucketV2("example", new()
{
Bucket = "example-transcribe",
ForceDestroy = true,
});
var @object = new Aws.S3.BucketObjectv2("object", new()
{
Bucket = exampleBucketV2.Id,
Key = "transcribe/test1.txt",
Source = new FileAsset("test1.txt"),
});
var exampleLanguageModel = new Aws.Transcribe.LanguageModel("example", new()
{
ModelName = "example",
BaseModelName = "NarrowBand",
InputDataConfig = new Aws.Transcribe.Inputs.LanguageModelInputDataConfigArgs
{
DataAccessRoleArn = exampleRole.Arn,
S3Uri = exampleBucketV2.Id.Apply(id => $"s3://{id}/transcribe/"),
},
LanguageCode = "en-US",
Tags =
{
{ "ENVIRONMENT", "development" },
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.iam.IamFunctions;
import com.pulumi.aws.iam.inputs.GetPolicyDocumentArgs;
import com.pulumi.aws.iam.Role;
import com.pulumi.aws.iam.RoleArgs;
import com.pulumi.aws.iam.RolePolicy;
import com.pulumi.aws.iam.RolePolicyArgs;
import com.pulumi.aws.s3.BucketV2;
import com.pulumi.aws.s3.BucketV2Args;
import com.pulumi.aws.s3.BucketObjectv2;
import com.pulumi.aws.s3.BucketObjectv2Args;
import com.pulumi.aws.transcribe.LanguageModel;
import com.pulumi.aws.transcribe.LanguageModelArgs;
import com.pulumi.aws.transcribe.inputs.LanguageModelInputDataConfigArgs;
import static com.pulumi.codegen.internal.Serialization.*;
import com.pulumi.asset.FileAsset;
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) {
final var example = IamFunctions.getPolicyDocument(GetPolicyDocumentArgs.builder()
.statements(GetPolicyDocumentStatementArgs.builder()
.actions("sts:AssumeRole")
.principals(GetPolicyDocumentStatementPrincipalArgs.builder()
.type("Service")
.identifiers("transcribe.amazonaws.com")
.build())
.build())
.build());
var exampleRole = new Role("exampleRole", RoleArgs.builder()
.name("example")
.assumeRolePolicy(example.applyValue(getPolicyDocumentResult -> getPolicyDocumentResult.json()))
.build());
var testPolicy = new RolePolicy("testPolicy", RolePolicyArgs.builder()
.name("example")
.role(exampleRole.id())
.policy(serializeJson(
jsonObject(
jsonProperty("Version", "2012-10-17"),
jsonProperty("Statement", jsonArray(jsonObject(
jsonProperty("Action", jsonArray(
"s3:GetObject",
"s3:ListBucket"
)),
jsonProperty("Effect", "Allow"),
jsonProperty("Resource", jsonArray("*"))
)))
)))
.build());
var exampleBucketV2 = new BucketV2("exampleBucketV2", BucketV2Args.builder()
.bucket("example-transcribe")
.forceDestroy(true)
.build());
var object = new BucketObjectv2("object", BucketObjectv2Args.builder()
.bucket(exampleBucketV2.id())
.key("transcribe/test1.txt")
.source(new FileAsset("test1.txt"))
.build());
var exampleLanguageModel = new LanguageModel("exampleLanguageModel", LanguageModelArgs.builder()
.modelName("example")
.baseModelName("NarrowBand")
.inputDataConfig(LanguageModelInputDataConfigArgs.builder()
.dataAccessRoleArn(exampleRole.arn())
.s3Uri(exampleBucketV2.id().applyValue(id -> String.format("s3://%s/transcribe/", id)))
.build())
.languageCode("en-US")
.tags(Map.of("ENVIRONMENT", "development"))
.build());
}
}
resources:
exampleRole:
type: aws:iam:Role
name: example
properties:
name: example
assumeRolePolicy: ${example.json}
testPolicy:
type: aws:iam:RolePolicy
name: test_policy
properties:
name: example
role: ${exampleRole.id}
policy:
fn::toJSON:
Version: 2012-10-17
Statement:
- Action:
- s3:GetObject
- s3:ListBucket
Effect: Allow
Resource:
- '*'
exampleBucketV2:
type: aws:s3:BucketV2
name: example
properties:
bucket: example-transcribe
forceDestroy: true
object:
type: aws:s3:BucketObjectv2
properties:
bucket: ${exampleBucketV2.id}
key: transcribe/test1.txt
source:
fn::FileAsset: test1.txt
exampleLanguageModel:
type: aws:transcribe:LanguageModel
name: example
properties:
modelName: example
baseModelName: NarrowBand
inputDataConfig:
dataAccessRoleArn: ${exampleRole.arn}
s3Uri: s3://${exampleBucketV2.id}/transcribe/
languageCode: en-US
tags:
ENVIRONMENT: development
variables:
example:
fn::invoke:
Function: aws:iam:getPolicyDocument
Arguments:
statements:
- actions:
- sts:AssumeRole
principals:
- type: Service
identifiers:
- transcribe.amazonaws.com
Create LanguageModel Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new LanguageModel(name: string, args: LanguageModelArgs, opts?: CustomResourceOptions);
@overload
def LanguageModel(resource_name: str,
args: LanguageModelArgs,
opts: Optional[ResourceOptions] = None)
@overload
def LanguageModel(resource_name: str,
opts: Optional[ResourceOptions] = None,
base_model_name: Optional[str] = None,
input_data_config: Optional[LanguageModelInputDataConfigArgs] = None,
language_code: Optional[str] = None,
model_name: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None)
func NewLanguageModel(ctx *Context, name string, args LanguageModelArgs, opts ...ResourceOption) (*LanguageModel, error)
public LanguageModel(string name, LanguageModelArgs args, CustomResourceOptions? opts = null)
public LanguageModel(String name, LanguageModelArgs args)
public LanguageModel(String name, LanguageModelArgs args, CustomResourceOptions options)
type: aws:transcribe:LanguageModel
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args LanguageModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args LanguageModelArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args LanguageModelArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args LanguageModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args LanguageModelArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var languageModelResource = new Aws.Transcribe.LanguageModel("languageModelResource", new()
{
BaseModelName = "string",
InputDataConfig = new Aws.Transcribe.Inputs.LanguageModelInputDataConfigArgs
{
DataAccessRoleArn = "string",
S3Uri = "string",
TuningDataS3Uri = "string",
},
LanguageCode = "string",
ModelName = "string",
Tags =
{
{ "string", "string" },
},
});
example, err := transcribe.NewLanguageModel(ctx, "languageModelResource", &transcribe.LanguageModelArgs{
BaseModelName: pulumi.String("string"),
InputDataConfig: &transcribe.LanguageModelInputDataConfigArgs{
DataAccessRoleArn: pulumi.String("string"),
S3Uri: pulumi.String("string"),
TuningDataS3Uri: pulumi.String("string"),
},
LanguageCode: pulumi.String("string"),
ModelName: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
})
var languageModelResource = new LanguageModel("languageModelResource", LanguageModelArgs.builder()
.baseModelName("string")
.inputDataConfig(LanguageModelInputDataConfigArgs.builder()
.dataAccessRoleArn("string")
.s3Uri("string")
.tuningDataS3Uri("string")
.build())
.languageCode("string")
.modelName("string")
.tags(Map.of("string", "string"))
.build());
language_model_resource = aws.transcribe.LanguageModel("languageModelResource",
base_model_name="string",
input_data_config={
"data_access_role_arn": "string",
"s3_uri": "string",
"tuning_data_s3_uri": "string",
},
language_code="string",
model_name="string",
tags={
"string": "string",
})
const languageModelResource = new aws.transcribe.LanguageModel("languageModelResource", {
baseModelName: "string",
inputDataConfig: {
dataAccessRoleArn: "string",
s3Uri: "string",
tuningDataS3Uri: "string",
},
languageCode: "string",
modelName: "string",
tags: {
string: "string",
},
});
type: aws:transcribe:LanguageModel
properties:
baseModelName: string
inputDataConfig:
dataAccessRoleArn: string
s3Uri: string
tuningDataS3Uri: string
languageCode: string
modelName: string
tags:
string: string
LanguageModel Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The LanguageModel resource accepts the following input properties:
- Base
Model stringName - Name of reference base model.
- Input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- Language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- Model
Name string - The model name.
- Dictionary<string, string>
- Base
Model stringName - Name of reference base model.
- Input
Data LanguageConfig Model Input Data Config Args - The input data config for the LanguageModel. See Input Data Config for more details.
- Language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- Model
Name string - The model name.
- map[string]string
- base
Model StringName - Name of reference base model.
- input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code String - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name String - The model name.
- Map<String,String>
- base
Model stringName - Name of reference base model.
- input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name string - The model name.
- {[key: string]: string}
- base_
model_ strname - Name of reference base model.
- input_
data_ Languageconfig Model Input Data Config Args - The input data config for the LanguageModel. See Input Data Config for more details.
- language_
code str - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model_
name str - The model name.
- Mapping[str, str]
- base
Model StringName - Name of reference base model.
- input
Data Property MapConfig - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code String - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name String - The model name.
- Map<String>
Outputs
All input properties are implicitly available as output properties. Additionally, the LanguageModel resource produces the following output properties:
Look up Existing LanguageModel Resource
Get an existing LanguageModel resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: LanguageModelState, opts?: CustomResourceOptions): LanguageModel
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
arn: Optional[str] = None,
base_model_name: Optional[str] = None,
input_data_config: Optional[LanguageModelInputDataConfigArgs] = None,
language_code: Optional[str] = None,
model_name: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
tags_all: Optional[Mapping[str, str]] = None) -> LanguageModel
func GetLanguageModel(ctx *Context, name string, id IDInput, state *LanguageModelState, opts ...ResourceOption) (*LanguageModel, error)
public static LanguageModel Get(string name, Input<string> id, LanguageModelState? state, CustomResourceOptions? opts = null)
public static LanguageModel get(String name, Output<String> id, LanguageModelState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Arn string
- ARN of the LanguageModel.
- Base
Model stringName - Name of reference base model.
- Input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- Language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- Model
Name string - The model name.
- Dictionary<string, string>
- Dictionary<string, string>
- Arn string
- ARN of the LanguageModel.
- Base
Model stringName - Name of reference base model.
- Input
Data LanguageConfig Model Input Data Config Args - The input data config for the LanguageModel. See Input Data Config for more details.
- Language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- Model
Name string - The model name.
- map[string]string
- map[string]string
- arn String
- ARN of the LanguageModel.
- base
Model StringName - Name of reference base model.
- input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code String - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name String - The model name.
- Map<String,String>
- Map<String,String>
- arn string
- ARN of the LanguageModel.
- base
Model stringName - Name of reference base model.
- input
Data LanguageConfig Model Input Data Config - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code string - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name string - The model name.
- {[key: string]: string}
- {[key: string]: string}
- arn str
- ARN of the LanguageModel.
- base_
model_ strname - Name of reference base model.
- input_
data_ Languageconfig Model Input Data Config Args - The input data config for the LanguageModel. See Input Data Config for more details.
- language_
code str - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model_
name str - The model name.
- Mapping[str, str]
- Mapping[str, str]
- arn String
- ARN of the LanguageModel.
- base
Model StringName - Name of reference base model.
- input
Data Property MapConfig - The input data config for the LanguageModel. See Input Data Config for more details.
- language
Code String - The language code you selected for your language model. Refer to the supported languages page for accepted codes.
- model
Name String - The model name.
- Map<String>
- Map<String>
Supporting Types
LanguageModelInputDataConfig, LanguageModelInputDataConfigArgs
- Data
Access stringRole Arn - IAM role with access to S3 bucket.
- S3Uri string
- S3 URI where training data is located.
- Tuning
Data stringS3Uri S3 URI where tuning data is located.
The following arguments are optional:
- Data
Access stringRole Arn - IAM role with access to S3 bucket.
- S3Uri string
- S3 URI where training data is located.
- Tuning
Data stringS3Uri S3 URI where tuning data is located.
The following arguments are optional:
- data
Access StringRole Arn - IAM role with access to S3 bucket.
- s3Uri String
- S3 URI where training data is located.
- tuning
Data StringS3Uri S3 URI where tuning data is located.
The following arguments are optional:
- data
Access stringRole Arn - IAM role with access to S3 bucket.
- s3Uri string
- S3 URI where training data is located.
- tuning
Data stringS3Uri S3 URI where tuning data is located.
The following arguments are optional:
- data_
access_ strrole_ arn - IAM role with access to S3 bucket.
- s3_
uri str - S3 URI where training data is located.
- tuning_
data_ strs3_ uri S3 URI where tuning data is located.
The following arguments are optional:
- data
Access StringRole Arn - IAM role with access to S3 bucket.
- s3Uri String
- S3 URI where training data is located.
- tuning
Data StringS3Uri S3 URI where tuning data is located.
The following arguments are optional:
Import
Using pulumi import
, import Transcribe LanguageModel using the model_name
. For example:
$ pulumi import aws:transcribe/languageModel:LanguageModel example example-name
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- AWS Classic pulumi/pulumi-aws
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
aws
Terraform Provider.