Ajouter un compte Confluent
https://api.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.us3.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.us5.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.datadoghq.eu/api/v2/integrations/confluent-cloud/accountshttps://api.ap1.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.ap2.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.uk1.datadoghq.com/api/v2/integrations/confluent-cloud/accountshttps://api.ddog-gov.com/api/v2/integrations/confluent-cloud/accountshttps://api.us2.ddog-gov.com/api/v2/integrations/confluent-cloud/accountsPrésentation
Créez un compte Confluent.
Requête
Body Data (required)
Charge utile Confluent
data [required]Schéma de charge utile lors de lʼajout dʼun compte Confluent.
attributes [required]Attributes associated with the account creation request.
api_key [required]The API key associated with your Confluent account.
api_secret [required]The API secret associated with your Confluent account.
resourcesA list of Confluent resources associated with the Confluent account.
enable_custom_metricsEnable the custom.consumer_lag_offset metric, which contains extra metric tags.
falseidThe ID associated with a Confluent resource.
resource_type [required]The resource type of the Resource. Can be kafka, connector, ksql, schema_registry, or flink.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
type [required]The JSON:API type for this API. Should always be confluent-cloud-accounts.
confluent-cloud-accountsconfluent-cloud-accounts{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}Réponse
OK
The expected response schema when getting a Confluent account.
dataAn API key and API secret pair that represents a Confluent account.
attributes [required]The attributes of a Confluent account.
api_key [required]The API key associated with your Confluent account.
resourcesA list of Confluent resources associated with the Confluent account.
enable_custom_metricsEnable the custom.consumer_lag_offset metric, which contains extra metric tags.
falseidThe ID associated with the Confluent resource.
resource_type [required]The resource type of the Resource. Can be kafka, connector, ksql, schema_registry, or flink.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
id [required]A randomly generated ID associated with a Confluent account.
type [required]The JSON:API type for this API. Should always be confluent-cloud-accounts.
confluent-cloud-accountsconfluent-cloud-accounts{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource_id_abc123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "account_id_abc123",
"type": "confluent-cloud-accounts"
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Exemple de code
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"api_key": "TESTAPIKEY123",
"api_secret": "test-api-secret-123",
"resources": [
{
"enable_custom_metrics": false,
"id": "resource-id-123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
}
],
"tags": [
"myTag",
"myTag2:myValue"
]
},
"type": "confluent-cloud-accounts"
}
}
EOF// Add Confluent account returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
body := datadogV2.ConfluentAccountCreateRequest{
Data: datadogV2.ConfluentAccountCreateRequestData{
Attributes: datadogV2.ConfluentAccountCreateRequestAttributes{
ApiKey: "TESTAPIKEY123",
ApiSecret: "test-api-secret-123",
Resources: []datadogV2.ConfluentAccountResourceAttributes{
{
EnableCustomMetrics: datadog.PtrBool(false),
Id: datadog.PtrString("resource-id-123"),
ResourceType: "kafka",
Tags: []string{
"myTag",
"myTag2:myValue",
},
},
},
Tags: []string{
"myTag",
"myTag2:myValue",
},
},
Type: datadogV2.CONFLUENTACCOUNTTYPE_CONFLUENT_CLOUD_ACCOUNTS,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewConfluentCloudApi(apiClient)
resp, r, err := api.CreateConfluentAccount(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ConfluentCloudApi.CreateConfluentAccount`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ConfluentCloudApi.CreateConfluentAccount`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Add Confluent account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ConfluentCloudApi;
import com.datadog.api.client.v2.model.ConfluentAccountCreateRequest;
import com.datadog.api.client.v2.model.ConfluentAccountCreateRequestAttributes;
import com.datadog.api.client.v2.model.ConfluentAccountCreateRequestData;
import com.datadog.api.client.v2.model.ConfluentAccountResourceAttributes;
import com.datadog.api.client.v2.model.ConfluentAccountResponse;
import com.datadog.api.client.v2.model.ConfluentAccountType;
import java.util.Arrays;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
ConfluentCloudApi apiInstance = new ConfluentCloudApi(defaultClient);
ConfluentAccountCreateRequest body =
new ConfluentAccountCreateRequest()
.data(
new ConfluentAccountCreateRequestData()
.attributes(
new ConfluentAccountCreateRequestAttributes()
.apiKey("TESTAPIKEY123")
.apiSecret("test-api-secret-123")
.resources(
Collections.singletonList(
new ConfluentAccountResourceAttributes()
.enableCustomMetrics(false)
.id("resource-id-123")
.resourceType("kafka")
.tags(Arrays.asList("myTag", "myTag2:myValue"))))
.tags(Arrays.asList("myTag", "myTag2:myValue")))
.type(ConfluentAccountType.CONFLUENT_CLOUD_ACCOUNTS));
try {
ConfluentAccountResponse result = apiInstance.createConfluentAccount(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ConfluentCloudApi#createConfluentAccount");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Add Confluent account returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.confluent_cloud_api import ConfluentCloudApi
from datadog_api_client.v2.model.confluent_account_create_request import ConfluentAccountCreateRequest
from datadog_api_client.v2.model.confluent_account_create_request_attributes import (
ConfluentAccountCreateRequestAttributes,
)
from datadog_api_client.v2.model.confluent_account_create_request_data import ConfluentAccountCreateRequestData
from datadog_api_client.v2.model.confluent_account_resource_attributes import ConfluentAccountResourceAttributes
from datadog_api_client.v2.model.confluent_account_type import ConfluentAccountType
body = ConfluentAccountCreateRequest(
data=ConfluentAccountCreateRequestData(
attributes=ConfluentAccountCreateRequestAttributes(
api_key="TESTAPIKEY123",
api_secret="test-api-secret-123",
resources=[
ConfluentAccountResourceAttributes(
enable_custom_metrics=False,
id="resource-id-123",
resource_type="kafka",
tags=[
"myTag",
"myTag2:myValue",
],
),
],
tags=[
"myTag",
"myTag2:myValue",
],
),
type=ConfluentAccountType.CONFLUENT_CLOUD_ACCOUNTS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = ConfluentCloudApi(api_client)
response = api_instance.create_confluent_account(body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Add Confluent account returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::ConfluentCloudAPI.new
body = DatadogAPIClient::V2::ConfluentAccountCreateRequest.new({
data: DatadogAPIClient::V2::ConfluentAccountCreateRequestData.new({
attributes: DatadogAPIClient::V2::ConfluentAccountCreateRequestAttributes.new({
api_key: "TESTAPIKEY123",
api_secret: "test-api-secret-123",
resources: [
DatadogAPIClient::V2::ConfluentAccountResourceAttributes.new({
enable_custom_metrics: false,
id: "resource-id-123",
resource_type: "kafka",
tags: [
"myTag",
"myTag2:myValue",
],
}),
],
tags: [
"myTag",
"myTag2:myValue",
],
}),
type: DatadogAPIClient::V2::ConfluentAccountType::CONFLUENT_CLOUD_ACCOUNTS,
}),
})
p api_instance.create_confluent_account(body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Add Confluent account returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_confluent_cloud::ConfluentCloudAPI;
use datadog_api_client::datadogV2::model::ConfluentAccountCreateRequest;
use datadog_api_client::datadogV2::model::ConfluentAccountCreateRequestAttributes;
use datadog_api_client::datadogV2::model::ConfluentAccountCreateRequestData;
use datadog_api_client::datadogV2::model::ConfluentAccountResourceAttributes;
use datadog_api_client::datadogV2::model::ConfluentAccountType;
#[tokio::main]
async fn main() {
let body = ConfluentAccountCreateRequest::new(ConfluentAccountCreateRequestData::new(
ConfluentAccountCreateRequestAttributes::new(
"TESTAPIKEY123".to_string(),
"test-api-secret-123".to_string(),
)
.resources(vec![ConfluentAccountResourceAttributes::new(
"kafka".to_string(),
)
.enable_custom_metrics(false)
.id("resource-id-123".to_string())
.tags(vec!["myTag".to_string(), "myTag2:myValue".to_string()])])
.tags(vec!["myTag".to_string(), "myTag2:myValue".to_string()]),
ConfluentAccountType::CONFLUENT_CLOUD_ACCOUNTS,
));
let configuration = datadog::Configuration::new();
let api = ConfluentCloudAPI::with_config(configuration);
let resp = api.create_confluent_account(body).await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run/**
* Add Confluent account returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v2.ConfluentCloudApi(configuration);
const params: v2.ConfluentCloudApiCreateConfluentAccountRequest = {
body: {
data: {
attributes: {
apiKey: "TESTAPIKEY123",
apiSecret: "test-api-secret-123",
resources: [
{
enableCustomMetrics: false,
id: "resource-id-123",
resourceType: "kafka",
tags: ["myTag", "myTag2:myValue"],
},
],
tags: ["myTag", "myTag2:myValue"],
},
type: "confluent-cloud-accounts",
},
},
};
apiInstance
.createConfluentAccount(params)
.then((data: v2.ConfluentAccountResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"