We recommend using Azure Native.
azure.sentinel.DataConnectorAwsS3
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Manages a AWS S3 Data Connector.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const example = new azure.core.ResourceGroup("example", {
name: "example-rg",
location: "West Europe",
});
const exampleAnalyticsWorkspace = new azure.operationalinsights.AnalyticsWorkspace("example", {
name: "example-workspace",
location: example.location,
resourceGroupName: example.name,
sku: "PerGB2018",
});
const exampleLogAnalyticsWorkspaceOnboarding = new azure.sentinel.LogAnalyticsWorkspaceOnboarding("example", {workspaceId: exampleAnalyticsWorkspace.id});
const exampleDataConnectorAwsS3 = new azure.sentinel.DataConnectorAwsS3("example", {
name: "example",
logAnalyticsWorkspaceId: exampleLogAnalyticsWorkspaceOnboarding.workspaceId,
awsRoleArn: "arn:aws:iam::000000000000:role/role1",
destinationTable: "AWSGuardDuty",
sqsUrls: ["https://sqs.us-east-1.amazonaws.com/000000000000/example"],
});
import pulumi
import pulumi_azure as azure
example = azure.core.ResourceGroup("example",
name="example-rg",
location="West Europe")
example_analytics_workspace = azure.operationalinsights.AnalyticsWorkspace("example",
name="example-workspace",
location=example.location,
resource_group_name=example.name,
sku="PerGB2018")
example_log_analytics_workspace_onboarding = azure.sentinel.LogAnalyticsWorkspaceOnboarding("example", workspace_id=example_analytics_workspace.id)
example_data_connector_aws_s3 = azure.sentinel.DataConnectorAwsS3("example",
name="example",
log_analytics_workspace_id=example_log_analytics_workspace_onboarding.workspace_id,
aws_role_arn="arn:aws:iam::000000000000:role/role1",
destination_table="AWSGuardDuty",
sqs_urls=["https://sqs.us-east-1.amazonaws.com/000000000000/example"])
package main
import (
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/operationalinsights"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/sentinel"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
Name: pulumi.String("example-rg"),
Location: pulumi.String("West Europe"),
})
if err != nil {
return err
}
exampleAnalyticsWorkspace, err := operationalinsights.NewAnalyticsWorkspace(ctx, "example", &operationalinsights.AnalyticsWorkspaceArgs{
Name: pulumi.String("example-workspace"),
Location: example.Location,
ResourceGroupName: example.Name,
Sku: pulumi.String("PerGB2018"),
})
if err != nil {
return err
}
exampleLogAnalyticsWorkspaceOnboarding, err := sentinel.NewLogAnalyticsWorkspaceOnboarding(ctx, "example", &sentinel.LogAnalyticsWorkspaceOnboardingArgs{
WorkspaceId: exampleAnalyticsWorkspace.ID(),
})
if err != nil {
return err
}
_, err = sentinel.NewDataConnectorAwsS3(ctx, "example", &sentinel.DataConnectorAwsS3Args{
Name: pulumi.String("example"),
LogAnalyticsWorkspaceId: exampleLogAnalyticsWorkspaceOnboarding.WorkspaceId,
AwsRoleArn: pulumi.String("arn:aws:iam::000000000000:role/role1"),
DestinationTable: pulumi.String("AWSGuardDuty"),
SqsUrls: pulumi.StringArray{
pulumi.String("https://sqs.us-east-1.amazonaws.com/000000000000/example"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
return await Deployment.RunAsync(() =>
{
var example = new Azure.Core.ResourceGroup("example", new()
{
Name = "example-rg",
Location = "West Europe",
});
var exampleAnalyticsWorkspace = new Azure.OperationalInsights.AnalyticsWorkspace("example", new()
{
Name = "example-workspace",
Location = example.Location,
ResourceGroupName = example.Name,
Sku = "PerGB2018",
});
var exampleLogAnalyticsWorkspaceOnboarding = new Azure.Sentinel.LogAnalyticsWorkspaceOnboarding("example", new()
{
WorkspaceId = exampleAnalyticsWorkspace.Id,
});
var exampleDataConnectorAwsS3 = new Azure.Sentinel.DataConnectorAwsS3("example", new()
{
Name = "example",
LogAnalyticsWorkspaceId = exampleLogAnalyticsWorkspaceOnboarding.WorkspaceId,
AwsRoleArn = "arn:aws:iam::000000000000:role/role1",
DestinationTable = "AWSGuardDuty",
SqsUrls = new[]
{
"https://sqs.us-east-1.amazonaws.com/000000000000/example",
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.operationalinsights.AnalyticsWorkspace;
import com.pulumi.azure.operationalinsights.AnalyticsWorkspaceArgs;
import com.pulumi.azure.sentinel.LogAnalyticsWorkspaceOnboarding;
import com.pulumi.azure.sentinel.LogAnalyticsWorkspaceOnboardingArgs;
import com.pulumi.azure.sentinel.DataConnectorAwsS3;
import com.pulumi.azure.sentinel.DataConnectorAwsS3Args;
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 ResourceGroup("example", ResourceGroupArgs.builder()
.name("example-rg")
.location("West Europe")
.build());
var exampleAnalyticsWorkspace = new AnalyticsWorkspace("exampleAnalyticsWorkspace", AnalyticsWorkspaceArgs.builder()
.name("example-workspace")
.location(example.location())
.resourceGroupName(example.name())
.sku("PerGB2018")
.build());
var exampleLogAnalyticsWorkspaceOnboarding = new LogAnalyticsWorkspaceOnboarding("exampleLogAnalyticsWorkspaceOnboarding", LogAnalyticsWorkspaceOnboardingArgs.builder()
.workspaceId(exampleAnalyticsWorkspace.id())
.build());
var exampleDataConnectorAwsS3 = new DataConnectorAwsS3("exampleDataConnectorAwsS3", DataConnectorAwsS3Args.builder()
.name("example")
.logAnalyticsWorkspaceId(exampleLogAnalyticsWorkspaceOnboarding.workspaceId())
.awsRoleArn("arn:aws:iam::000000000000:role/role1")
.destinationTable("AWSGuardDuty")
.sqsUrls("https://sqs.us-east-1.amazonaws.com/000000000000/example")
.build());
}
}
resources:
example:
type: azure:core:ResourceGroup
properties:
name: example-rg
location: West Europe
exampleAnalyticsWorkspace:
type: azure:operationalinsights:AnalyticsWorkspace
name: example
properties:
name: example-workspace
location: ${example.location}
resourceGroupName: ${example.name}
sku: PerGB2018
exampleLogAnalyticsWorkspaceOnboarding:
type: azure:sentinel:LogAnalyticsWorkspaceOnboarding
name: example
properties:
workspaceId: ${exampleAnalyticsWorkspace.id}
exampleDataConnectorAwsS3:
type: azure:sentinel:DataConnectorAwsS3
name: example
properties:
name: example
logAnalyticsWorkspaceId: ${exampleLogAnalyticsWorkspaceOnboarding.workspaceId}
awsRoleArn: arn:aws:iam::000000000000:role/role1
destinationTable: AWSGuardDuty
sqsUrls:
- https://sqs.us-east-1.amazonaws.com/000000000000/example
Create DataConnectorAwsS3 Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DataConnectorAwsS3(name: string, args: DataConnectorAwsS3Args, opts?: CustomResourceOptions);
@overload
def DataConnectorAwsS3(resource_name: str,
args: DataConnectorAwsS3Args,
opts: Optional[ResourceOptions] = None)
@overload
def DataConnectorAwsS3(resource_name: str,
opts: Optional[ResourceOptions] = None,
aws_role_arn: Optional[str] = None,
destination_table: Optional[str] = None,
log_analytics_workspace_id: Optional[str] = None,
sqs_urls: Optional[Sequence[str]] = None,
name: Optional[str] = None)
func NewDataConnectorAwsS3(ctx *Context, name string, args DataConnectorAwsS3Args, opts ...ResourceOption) (*DataConnectorAwsS3, error)
public DataConnectorAwsS3(string name, DataConnectorAwsS3Args args, CustomResourceOptions? opts = null)
public DataConnectorAwsS3(String name, DataConnectorAwsS3Args args)
public DataConnectorAwsS3(String name, DataConnectorAwsS3Args args, CustomResourceOptions options)
type: azure:sentinel:DataConnectorAwsS3
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 DataConnectorAwsS3Args
- 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 DataConnectorAwsS3Args
- 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 DataConnectorAwsS3Args
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DataConnectorAwsS3Args
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DataConnectorAwsS3Args
- 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 dataConnectorAwsS3Resource = new Azure.Sentinel.DataConnectorAwsS3("dataConnectorAwsS3Resource", new()
{
AwsRoleArn = "string",
DestinationTable = "string",
LogAnalyticsWorkspaceId = "string",
SqsUrls = new[]
{
"string",
},
Name = "string",
});
example, err := sentinel.NewDataConnectorAwsS3(ctx, "dataConnectorAwsS3Resource", &sentinel.DataConnectorAwsS3Args{
AwsRoleArn: pulumi.String("string"),
DestinationTable: pulumi.String("string"),
LogAnalyticsWorkspaceId: pulumi.String("string"),
SqsUrls: pulumi.StringArray{
pulumi.String("string"),
},
Name: pulumi.String("string"),
})
var dataConnectorAwsS3Resource = new DataConnectorAwsS3("dataConnectorAwsS3Resource", DataConnectorAwsS3Args.builder()
.awsRoleArn("string")
.destinationTable("string")
.logAnalyticsWorkspaceId("string")
.sqsUrls("string")
.name("string")
.build());
data_connector_aws_s3_resource = azure.sentinel.DataConnectorAwsS3("dataConnectorAwsS3Resource",
aws_role_arn="string",
destination_table="string",
log_analytics_workspace_id="string",
sqs_urls=["string"],
name="string")
const dataConnectorAwsS3Resource = new azure.sentinel.DataConnectorAwsS3("dataConnectorAwsS3Resource", {
awsRoleArn: "string",
destinationTable: "string",
logAnalyticsWorkspaceId: "string",
sqsUrls: ["string"],
name: "string",
});
type: azure:sentinel:DataConnectorAwsS3
properties:
awsRoleArn: string
destinationTable: string
logAnalyticsWorkspaceId: string
name: string
sqsUrls:
- string
DataConnectorAwsS3 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 DataConnectorAwsS3 resource accepts the following input properties:
- Aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- Destination
Table string - The name of the Log Analytics table that will store the ingested data.
- Log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- Sqs
Urls List<string> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- Name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- Aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- Destination
Table string - The name of the Log Analytics table that will store the ingested data.
- Log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- Sqs
Urls []string - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- Name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- aws
Role StringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table String - The name of the Log Analytics table that will store the ingested data.
- log
Analytics StringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls List<String> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- name String
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table string - The name of the Log Analytics table that will store the ingested data.
- log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls string[] - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- aws_
role_ strarn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination_
table str - The name of the Log Analytics table that will store the ingested data.
- log_
analytics_ strworkspace_ id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- sqs_
urls Sequence[str] - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- name str
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- aws
Role StringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table String - The name of the Log Analytics table that will store the ingested data.
- log
Analytics StringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls List<String> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- name String
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
Outputs
All input properties are implicitly available as output properties. Additionally, the DataConnectorAwsS3 resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing DataConnectorAwsS3 Resource
Get an existing DataConnectorAwsS3 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?: DataConnectorAwsS3State, opts?: CustomResourceOptions): DataConnectorAwsS3
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
aws_role_arn: Optional[str] = None,
destination_table: Optional[str] = None,
log_analytics_workspace_id: Optional[str] = None,
name: Optional[str] = None,
sqs_urls: Optional[Sequence[str]] = None) -> DataConnectorAwsS3
func GetDataConnectorAwsS3(ctx *Context, name string, id IDInput, state *DataConnectorAwsS3State, opts ...ResourceOption) (*DataConnectorAwsS3, error)
public static DataConnectorAwsS3 Get(string name, Input<string> id, DataConnectorAwsS3State? state, CustomResourceOptions? opts = null)
public static DataConnectorAwsS3 get(String name, Output<String> id, DataConnectorAwsS3State 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.
- Aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- Destination
Table string - The name of the Log Analytics table that will store the ingested data.
- Log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- Name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- Sqs
Urls List<string> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- Aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- Destination
Table string - The name of the Log Analytics table that will store the ingested data.
- Log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- Name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- Sqs
Urls []string - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- aws
Role StringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table String - The name of the Log Analytics table that will store the ingested data.
- log
Analytics StringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- name String
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls List<String> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- aws
Role stringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table string - The name of the Log Analytics table that will store the ingested data.
- log
Analytics stringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- name string
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls string[] - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- aws_
role_ strarn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination_
table str - The name of the Log Analytics table that will store the ingested data.
- log_
analytics_ strworkspace_ id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- name str
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- sqs_
urls Sequence[str] - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
- aws
Role StringArn - The ARN of the AWS role, which is connected to this AWS CloudTrail Data Connector. See the Azure document for details.
- destination
Table String - The name of the Log Analytics table that will store the ingested data.
- log
Analytics StringWorkspace Id - The ID of the Log Analytics Workspace that this AWS S3 Data Connector resides in. Changing this forces a new AWS S3 Data Connector to be created.
- name String
- The name which should be used for this AWS S3 Data Connector. Changing this forces a new AWS S3 Data Connector to be created.
- sqs
Urls List<String> - Specifies a list of AWS SQS urls for the AWS S3 Data Connector.
Import
AWS S3 Data Connectors can be imported using the resource id
, e.g.
$ pulumi import azure:sentinel/dataConnectorAwsS3:DataConnectorAwsS3 example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.OperationalInsights/workspaces/workspace1/providers/Microsoft.SecurityInsights/dataConnectors/dc1
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Classic pulumi/pulumi-azure
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
azurerm
Terraform Provider.