GET https://api.ap1.datadoghq.com/api/v2/usage/lambda_traced_invocations https://api.ap2.datadoghq.com/api/v2/usage/lambda_traced_invocations https://api.datadoghq.eu/api/v2/usage/lambda_traced_invocations https://api.ddog-gov.com/api/v2/usage/lambda_traced_invocations https://api.us2.ddog-gov.com/api/v2/usage/lambda_traced_invocations https://api.datadoghq.com/api/v2/usage/lambda_traced_invocations https://api.us3.datadoghq.com/api/v2/usage/lambda_traced_invocations https://api.us5.datadoghq.com/api/v2/usage/lambda_traced_invocations
Overview Get hourly usage for Lambda traced invocations.
Note: This endpoint has been deprecated.. Hourly usage data for all products is now available in the Get hourly usage by product family API
This endpoint requires the usage_read permission.
OAuth apps require the usage_read authorization scope to access this endpoint.
Arguments Query Strings Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.
Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending
before this hour.
Response OK
Lambda Traced Invocations usage response.
Expand All
Response containing Lambda Traced Invocations usage.
The product for which usage is being reported.
The organization public ID.
The region of the Datadog instance that the organization belongs to.
List of usage data reported for each requested hour.
Datetime in ISO-8601 format, UTC. The hour for the usage.
Contains the number measured for the given usage_type during the hour.
Usage type that is being measured.
Allowed enum values: app_sec_host_count,observability_pipelines_bytes_processed,lambda_traced_invocations_count
Unique ID of the response.
Type of usage data.
Allowed enum values: usage_timeseries
default: 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
{
"errors" : [
"Bad Request"
]
} Forbidden - User is not authorized
{
"errors" : [
"Bad Request"
]
} Too many requests
{
"errors" : [
"Bad Request"
]
} Code Example Copy
# Required query arguments export start_hr = "CHANGE_ME" # Curl command curl -X GET "https://api.ap1.datadoghq.com "https://api.ap2.datadoghq.com "https://api.datadoghq.eu "https://api.ddog-gov.com "https://api.us2.ddog-gov.com "https://api.datadoghq.com "https://api.us3.datadoghq.com "https://api.us5.datadoghq.com /api/v2/usage/lambda_traced_invocations ? start_hr = ${start_hr} " \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY} " \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY} "
"""
Get hourly usage for Lambda traced invocations returns "OK" response
"""
from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient , Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi
configuration = Configuration ()
with ApiClient ( configuration ) as api_client :
api_instance = UsageMeteringApi ( api_client )
response = api_instance . get_usage_lambda_traced_invocations (
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" python3 "example.py"
# Get hourly usage for Lambda traced invocations returns "OK" response
require "datadog_api_client"
api_instance = DatadogAPIClient :: V2 :: UsageMeteringAPI . new
opts = {
end_hr : ( Time . now + - 3 * 86400 ),
}
p api_instance . get_usage_lambda_traced_invocations (( 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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" rb "example.rb"
// Get hourly usage for Lambda traced invocations 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 ())
configuration := datadog . NewConfiguration ()
apiClient := datadog . NewAPIClient ( configuration )
api := datadogV2 . NewUsageMeteringApi ( apiClient )
resp , r , err := api . GetUsageLambdaTracedInvocations ( ctx , time . Now (). AddDate ( 0 , 0 , - 5 ), * datadogV2 . NewGetUsageLambdaTracedInvocationsOptionalParameters (). WithEndHr ( time . Now (). AddDate ( 0 , 0 , - 3 )))
if err != nil {
fmt . Fprintf ( os . Stderr , "Error when calling `UsageMeteringApi.GetUsageLambdaTracedInvocations`: %v\n" , err )
fmt . Fprintf ( os . Stderr , "Full HTTP response: %v\n" , r )
}
responseContent , _ := json . MarshalIndent ( resp , "" , " " )
fmt . Fprintf ( os . Stdout , "Response from `UsageMeteringApi.GetUsageLambdaTracedInvocations`:\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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" go run "main.go"
// Get hourly usage for Lambda traced invocations 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.GetUsageLambdaTracedInvocationsOptionalParameters ;
import com.datadog.api.client.v2.model.UsageLambdaTracedInvocationsResponse ;
import java.time.OffsetDateTime ;
public class Example {
public static void main ( String [] args ) {
ApiClient defaultClient = ApiClient . getDefaultApiClient ();
UsageMeteringApi apiInstance = new UsageMeteringApi ( defaultClient );
try {
UsageLambdaTracedInvocationsResponse result =
apiInstance . getUsageLambdaTracedInvocations (
OffsetDateTime . now (). plusDays ( - 5 ),
new GetUsageLambdaTracedInvocationsOptionalParameters ()
. endHr ( OffsetDateTime . now (). plusDays ( - 3 )));
System . out . println ( result );
} catch ( ApiException e ) {
System . err . println ( "Exception when calling UsageMeteringApi#getUsageLambdaTracedInvocations" );
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" java "Example.java"
// Get hourly usage for Lambda traced invocations returns "OK" response
use chrono ::{ DateTime , Utc };
use datadog_api_client ::datadog ;
use datadog_api_client ::datadogV2 ::api_usage_metering ::GetUsageLambdaTracedInvocationsOptionalParams ;
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_lambda_traced_invocations (
DateTime ::parse_from_rfc3339 ( "2021-11-06T11:11:11+00:00" )
. expect ( "Failed to parse datetime" )
. with_timezone ( & Utc ),
GetUsageLambdaTracedInvocationsOptionalParams ::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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" cargo run
/**
* Get hourly usage for Lambda traced invocations returns "OK" response
*/
import { client , v2 } from "@datadog/datadog-api-client" ;
const configuration = client . createConfiguration ();
const apiInstance = new v2 . UsageMeteringApi ( configuration );
const params : v2.UsageMeteringApiGetUsageLambdaTracedInvocationsRequest = {
startHr : new Date ( new Date (). getTime () + - 5 * 86400 * 1000 ),
endHr : new Date ( new Date (). getTime () + - 3 * 86400 * 1000 ),
};
apiInstance
. getUsageLambdaTracedInvocations ( params )
. then (( data : v2.UsageLambdaTracedInvocationsResponse ) => {
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" tsc "example.ts"