観測可能性パイプラインの 1 時間単位使用量の取得
GET
https://api.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.us3.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.us5.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.datadoghq.eu/api/v2/usage/observability_pipelineshttps://api.ap1.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.ap2.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.uk1.datadoghq.com/api/v2/usage/observability_pipelineshttps://api.ddog-gov.com/api/v2/usage/observability_pipelineshttps://api.us2.ddog-gov.com/api/v2/usage/observability_pipelines概要
可観測性パイプラインの 1 時間ごとの使用量を取得します。 注: このエンドポイントは非推奨になりました。全製品の 1 時間ごとの使用量データは Get hourly usage by product family API で利用できるようになりました。
OAuth apps require the usage_read authorization scope to access this endpoint.
引数
クエリ文字列
名前
タイプ
説明
start_hr [required]string
Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.
end_hrstring
Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending
before this hour.
応答
OK
Observability Pipelines usage response.
フィールド
タイプ
説明
data[object]
Response containing Observability Pipelines usage.
attributesobject
Usage attributes data.
org_namestring
The organization name.
product_familystring
The product for which usage is being reported.
public_idstring
The organization public ID.
regionstring
The region of the Datadog instance that the organization belongs to.
timeseries[object]
List of usage data reported for each requested hour.
timestampdate-time
Datetime in ISO-8601 format, UTC. The hour for the usage.
valueint64
Contains the number measured for the given usage_type during the hour.
usage_typeenum
Usage type that is being measured.
Allowed enum values:
app_sec_host_count, observability_pipelines_bytes_processed, lambda_traced_invocations_countidstring
Unique ID of the response.
typeenum
Type of usage data.
usage_timeseriesAllowed enum values:
usage_timeseries{
"data": [
{
"attributes": {
"org_name": "string",
"product_family": "string",
"public_id": "string",
"region": "string",
"timeseries": [
{
"timestamp": "2019-09-19T10:00:00.000Z",
"value": "integer"
}
],
"usage_type": "observability_pipelines_bytes_processed"
},
"id": "string",
"type": "usage_timeseries"
}
]
}Bad Request
API error response.
フィールド
タイプ
説明
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden - User is not authorized
API error response.
フィールド
タイプ
説明
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
フィールド
タイプ
説明
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}コード例
観測可能性パイプラインの 1 時間単位使用量の取得
# Required query arguments
export start_hr="CHANGE_ME"
# 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 GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export start_hr="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/usage/observability_pipelines?start_hr=${start_hr}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"観測可能性パイプラインの 1 時間単位使用量の取得
// Get hourly usage for observability pipelines returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"time"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
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.NewUsageMeteringApi(apiClient)
resp, r, err := api.GetUsageObservabilityPipelines(ctx, time.Now().AddDate(0, 0, -5), *datadogV2.NewGetUsageObservabilityPipelinesOptionalParameters().WithEndHr(time.Now().AddDate(0, 0, -3)))
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageObservabilityPipelines`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageObservabilityPipelines`:\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"観測可能性パイプラインの 1 時間単位使用量の取得
// Get hourly usage for observability pipelines returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetUsageObservabilityPipelinesOptionalParameters;
import com.datadog.api.client.v2.model.UsageObservabilityPipelinesResponse;
import java.time.OffsetDateTime;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);
try {
UsageObservabilityPipelinesResponse result =
apiInstance.getUsageObservabilityPipelines(
OffsetDateTime.now().plusDays(-5),
new GetUsageObservabilityPipelinesOptionalParameters()
.endHr(OffsetDateTime.now().plusDays(-3)));
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling UsageMeteringApi#getUsageObservabilityPipelines");
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"観測可能性パイプラインの 1 時間単位使用量の取得
"""
Get hourly usage for observability pipelines returns "OK" response
"""
from datetime import datetime
from dateutil.relativedelta import relativedelta
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = UsageMeteringApi(api_client)
response = api_instance.get_usage_observability_pipelines(
start_hr=(datetime.now() + relativedelta(days=-5)),
end_hr=(datetime.now() + relativedelta(days=-3)),
)
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"観測可能性パイプラインの 1 時間単位使用量の取得
# Get hourly usage for observability pipelines returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
end_hr: (Time.now + -3 * 86400),
}
p api_instance.get_usage_observability_pipelines((Time.now + -5 * 86400), opts)
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"観測可能性パイプラインの 1 時間単位使用量の取得
// Get hourly usage for observability pipelines returns "OK" response
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_usage_metering::GetUsageObservabilityPipelinesOptionalParams;
use datadog_api_client::datadogV2::api_usage_metering::UsageMeteringAPI;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = UsageMeteringAPI::with_config(configuration);
let resp = api
.get_usage_observability_pipelines(
DateTime::parse_from_rfc3339("2021-11-06T11:11:11+00:00")
.expect("Failed to parse datetime")
.with_timezone(&Utc),
GetUsageObservabilityPipelinesOptionalParams::default().end_hr(
DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
.expect("Failed to parse datetime")
.with_timezone(&Utc),
),
)
.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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run観測可能性パイプラインの 1 時間単位使用量の取得
/**
* Get hourly usage for observability pipelines 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.UsageMeteringApi(configuration);
const params: v2.UsageMeteringApiGetUsageObservabilityPipelinesRequest = {
startHr: new Date(new Date().getTime() + -5 * 86400 * 1000),
endHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
};
apiInstance
.getUsageObservabilityPipelines(params)
.then((data: v2.UsageObservabilityPipelinesResponse) => {
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"