--- title: Create an SLO correction description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Service Level Objective Corrections --- # Create an SLO correction{% #create-an-slo-correction %} Copy pageCopied {% tab title="v1" %} | Datadog site | API endpoint | | ----------------- | -------------------------------------------------------- | | ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v1/slo/correction | | ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v1/slo/correction | | app.datadoghq.eu | POST https://api.datadoghq.eu/api/v1/slo/correction | | app.ddog-gov.com | POST https://api.ddog-gov.com/api/v1/slo/correction | | us2.ddog-gov.com | POST https://api.us2.ddog-gov.com/api/v1/slo/correction | | app.datadoghq.com | POST https://api.datadoghq.com/api/v1/slo/correction | | us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v1/slo/correction | | us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v1/slo/correction | ### Overview Create an SLO correction. Use `slo_id` to apply the correction to a single SLO, or `slo_query` to apply the correction to SLOs that match a query. Exactly one of `slo_id` or `slo_query` is required. This endpoint requires the `slos_corrections` permission. OAuth apps require the `slos_corrections` authorization [scope](https://docs.datadoghq.com/api/latest/scopes.md#service-level-objective-corrections) to access this endpoint. ### Request #### Body Data (required) Create an SLO Correction {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------ | -------------------------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | object | The data object associated with the SLO correction to be created. | | data | attributes | object | The attribute object associated with the SLO correction to be created. | Exactly one of `slo_id` or `slo_query` must be provided. | | attributes | category [*required*] | enum | Category the SLO correction belongs to. Allowed enum values: `Scheduled Maintenance,Outside Business Hours,Deployment,Other` | | attributes | description | string | Description of the correction being made. | | attributes | duration | int64 | Length of time (in seconds) for a specified `rrule` recurring SLO correction. | | attributes | end | int64 | Ending time of the correction in epoch seconds. | | attributes | rrule | string | The recurrence rules as defined in the iCalendar RFC 5545. The supported rules for SLO corrections are `FREQ`, `INTERVAL`, `COUNT`, `UNTIL` and `BYDAY`. | | attributes | slo_id | string | ID of the single SLO that this correction applies to. | | attributes | slo_query | string | Query that matches the SLOs this correction applies to. The query uses the [Events search syntax](https://docs.datadoghq.com/events/explorer/searching.md) and can filter SLOs by SLO tags. | | attributes | start [*required*] | int64 | Starting time of the correction in epoch seconds. | | attributes | timezone | string | The timezone to display in the UI for the correction times (defaults to "UTC"). | | data | type [*required*] | enum | SLO correction resource type. Allowed enum values: `correction` | {% /tab %} {% tab title="Example" %} ##### ```json { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Example-Service-Level-Objective-Correction", "end": 1636632671, "slo_id": "string", "start": 1636629071, "timezone": "UTC" }, "type": "correction" } } ``` ##### ```json { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Example-Service-Level-Objective-Correction", "slo_id": "string", "start": 1636629071, "duration": 3600, "rrule": "FREQ=DAILY;INTERVAL=10;COUNT=5", "timezone": "UTC" }, "type": "correction" } } ``` ##### ```json { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Example-Service-Level-Objective-Correction", "end": 1636632671, "slo_query": "env:prod service:checkout", "start": 1636629071, "timezone": "UTC" }, "type": "correction" } } ``` {% /tab %} ### Response {% tab title="200" %} OK {% tab title="Model" %} The response object of an SLO correction. | Parent field | Field | Type | Description | | ------------ | ----------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | object | The response object of a list of SLO corrections. | | data | attributes | object | The attribute object associated with the SLO correction. | | attributes | category | enum | Category the SLO correction belongs to. Allowed enum values: `Scheduled Maintenance,Outside Business Hours,Deployment,Other` | | attributes | created_at | int64 | The epoch timestamp of when the correction was created at. | | attributes | creator | object | Object describing the creator of the shared element. | | creator | email | string | Email of the creator. | | creator | handle | string | Handle of the creator. | | creator | name | string | Name of the creator. | | attributes | description | string | Description of the correction being made. | | attributes | duration | int64 | Length of time (in seconds) for a specified `rrule` recurring SLO correction. | | attributes | end | int64 | Ending time of the correction in epoch seconds. | | attributes | modified_at | int64 | The epoch timestamp of when the correction was modified at. | | attributes | modifier | object | Modifier of the object. | | modifier | email | string | Email of the Modifier. | | modifier | handle | string | Handle of the Modifier. | | modifier | name | string | Name of the Modifier. | | attributes | rrule | string | The recurrence rules as defined in the iCalendar RFC 5545. The supported rules for SLO corrections are `FREQ`, `INTERVAL`, `COUNT`, `UNTIL` and `BYDAY`. | | attributes | slo_id | string | ID of the single SLO that this correction applies to. | | attributes | slo_query | string | Query that matches the SLOs this correction applies to. | | attributes | start | int64 | Starting time of the correction in epoch seconds. | | attributes | timezone | string | The timezone to display in the UI for the correction times (defaults to "UTC"). | | data | id | string | The ID of the SLO correction. | | data | type | enum | SLO correction resource type. Allowed enum values: `correction` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "category": "Scheduled Maintenance", "created_at": "integer", "creator": { "email": "string", "handle": "string", "name": "string" }, "description": "string", "duration": 3600, "end": "integer", "modified_at": "integer", "modifier": { "email": "string", "handle": "string", "name": "string" }, "rrule": "FREQ=DAILY;INTERVAL=10;COUNT=5", "slo_id": "string", "slo_query": "string", "start": "integer", "timezone": "string" }, "id": "string", "type": "correction" } } ``` {% /tab %} {% /tab %} {% tab title="400" %} Bad Request {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="403" %} Forbidden {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="404" %} SLO Not Found {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="429" %} Too many requests {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} ### Code Example ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for database upgrade.", "end": 1600003600, "slo_id": "sloId", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF \## slo_query # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for checkout services.", "end": 1600003600, "slo_query": "env:prod service:checkout", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for database upgrade.", "end": 1600003600, "slo_id": "sloId", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF \## slo_query # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for checkout services.", "end": 1600003600, "slo_query": "env:prod service:checkout", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for database upgrade.", "end": 1600003600, "slo_id": "sloId", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF \## slo_query # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/slo/correction" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "category": "Scheduled Maintenance", "description": "Planned maintenance window for checkout services.", "end": 1600003600, "slo_query": "env:prod service:checkout", "start": 1600000000, "timezone": "UTC" }, "type": "correction" } } EOF ##### ```go // Create an SLO correction 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/datadogV1" ) func main() { // there is a valid "slo" in the system SloData0ID := os.Getenv("SLO_DATA_0_ID") body := datadogV1.SLOCorrectionCreateRequest{ Data: &datadogV1.SLOCorrectionCreateData{ Attributes: &datadogV1.SLOCorrectionCreateRequestAttributes{ Category: datadogV1.SLOCORRECTIONCATEGORY_SCHEDULED_MAINTENANCE, Description: datadog.PtrString("Example-Service-Level-Objective-Correction"), End: datadog.PtrInt64(time.Now().Add(time.Hour * 1).Unix()), SloId: SloData0ID, Start: time.Now().Unix(), Timezone: datadog.PtrString("UTC"), }, Type: datadogV1.SLOCORRECTIONTYPE_CORRECTION, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV1.NewServiceLevelObjectiveCorrectionsApi(apiClient) resp, r, err := api.CreateSLOCorrection(ctx, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectiveCorrectionsApi.CreateSLOCorrection`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `ServiceLevelObjectiveCorrectionsApi.CreateSLOCorrection`:\n%s\n", responseContent) } ``` ##### ```go // Create an SLO correction with rrule 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/datadogV1" ) func main() { // there is a valid "slo" in the system SloData0ID := os.Getenv("SLO_DATA_0_ID") body := datadogV1.SLOCorrectionCreateRequest{ Data: &datadogV1.SLOCorrectionCreateData{ Attributes: &datadogV1.SLOCorrectionCreateRequestAttributes{ Category: datadogV1.SLOCORRECTIONCATEGORY_SCHEDULED_MAINTENANCE, Description: datadog.PtrString("Example-Service-Level-Objective-Correction"), SloId: SloData0ID, Start: time.Now().Unix(), Duration: datadog.PtrInt64(3600), Rrule: datadog.PtrString("FREQ=DAILY;INTERVAL=10;COUNT=5"), Timezone: datadog.PtrString("UTC"), }, Type: datadogV1.SLOCORRECTIONTYPE_CORRECTION, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV1.NewServiceLevelObjectiveCorrectionsApi(apiClient) resp, r, err := api.CreateSLOCorrection(ctx, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `ServiceLevelObjectiveCorrectionsApi.CreateSLOCorrection`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `ServiceLevelObjectiveCorrectionsApi.CreateSLOCorrection`:\n%s\n", responseContent) } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" go run "main.go" ##### ```java // Create an SLO correction returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v1.api.ServiceLevelObjectiveCorrectionsApi; import com.datadog.api.client.v1.model.SLOCorrectionCategory; import com.datadog.api.client.v1.model.SLOCorrectionCreateData; import com.datadog.api.client.v1.model.SLOCorrectionCreateRequest; import com.datadog.api.client.v1.model.SLOCorrectionCreateRequestAttributes; import com.datadog.api.client.v1.model.SLOCorrectionResponse; import com.datadog.api.client.v1.model.SLOCorrectionType; import java.time.OffsetDateTime; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); ServiceLevelObjectiveCorrectionsApi apiInstance = new ServiceLevelObjectiveCorrectionsApi(defaultClient); // there is a valid "slo" in the system String SLO_DATA_0_ID = System.getenv("SLO_DATA_0_ID"); SLOCorrectionCreateRequest body = new SLOCorrectionCreateRequest() .data( new SLOCorrectionCreateData() .attributes( new SLOCorrectionCreateRequestAttributes() .category(SLOCorrectionCategory.SCHEDULED_MAINTENANCE) .description("Example-Service-Level-Objective-Correction") .end(OffsetDateTime.now().plusHours(1).toInstant().getEpochSecond()) .sloId(SLO_DATA_0_ID) .start(OffsetDateTime.now().toInstant().getEpochSecond()) .timezone("UTC")) .type(SLOCorrectionType.CORRECTION)); try { SLOCorrectionResponse result = apiInstance.createSLOCorrection(body); System.out.println(result); } catch (ApiException e) { System.err.println( "Exception when calling ServiceLevelObjectiveCorrectionsApi#createSLOCorrection"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` ##### ```java // Create an SLO correction with rrule returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v1.api.ServiceLevelObjectiveCorrectionsApi; import com.datadog.api.client.v1.model.SLOCorrectionCategory; import com.datadog.api.client.v1.model.SLOCorrectionCreateData; import com.datadog.api.client.v1.model.SLOCorrectionCreateRequest; import com.datadog.api.client.v1.model.SLOCorrectionCreateRequestAttributes; import com.datadog.api.client.v1.model.SLOCorrectionResponse; import com.datadog.api.client.v1.model.SLOCorrectionType; import java.time.OffsetDateTime; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); ServiceLevelObjectiveCorrectionsApi apiInstance = new ServiceLevelObjectiveCorrectionsApi(defaultClient); // there is a valid "slo" in the system String SLO_DATA_0_ID = System.getenv("SLO_DATA_0_ID"); SLOCorrectionCreateRequest body = new SLOCorrectionCreateRequest() .data( new SLOCorrectionCreateData() .attributes( new SLOCorrectionCreateRequestAttributes() .category(SLOCorrectionCategory.SCHEDULED_MAINTENANCE) .description("Example-Service-Level-Objective-Correction") .sloId(SLO_DATA_0_ID) .start(OffsetDateTime.now().toInstant().getEpochSecond()) .duration(3600L) .rrule("FREQ=DAILY;INTERVAL=10;COUNT=5") .timezone("UTC")) .type(SLOCorrectionType.CORRECTION)); try { SLOCorrectionResponse result = apiInstance.createSLOCorrection(body); System.out.println(result); } catch (ApiException e) { System.err.println( "Exception when calling ServiceLevelObjectiveCorrectionsApi#createSLOCorrection"); 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](https://docs.datadoghq.com/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" java "Example.java" ##### ```python """ Create an SLO correction 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.v1.api.service_level_objective_corrections_api import ServiceLevelObjectiveCorrectionsApi from datadog_api_client.v1.model.slo_correction_category import SLOCorrectionCategory from datadog_api_client.v1.model.slo_correction_create_data import SLOCorrectionCreateData from datadog_api_client.v1.model.slo_correction_create_request import SLOCorrectionCreateRequest from datadog_api_client.v1.model.slo_correction_create_request_attributes import SLOCorrectionCreateRequestAttributes from datadog_api_client.v1.model.slo_correction_type import SLOCorrectionType # there is a valid "slo" in the system SLO_DATA_0_ID = environ["SLO_DATA_0_ID"] body = SLOCorrectionCreateRequest( data=SLOCorrectionCreateData( attributes=SLOCorrectionCreateRequestAttributes( category=SLOCorrectionCategory.SCHEDULED_MAINTENANCE, description="Example-Service-Level-Objective-Correction", end=int((datetime.now() + relativedelta(hours=1)).timestamp()), slo_id=SLO_DATA_0_ID, start=int(datetime.now().timestamp()), timezone="UTC", ), type=SLOCorrectionType.CORRECTION, ), ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = ServiceLevelObjectiveCorrectionsApi(api_client) response = api_instance.create_slo_correction(body=body) print(response) ``` ##### ```python """ Create an SLO correction with rrule returns "OK" response """ from datetime import datetime from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v1.api.service_level_objective_corrections_api import ServiceLevelObjectiveCorrectionsApi from datadog_api_client.v1.model.slo_correction_category import SLOCorrectionCategory from datadog_api_client.v1.model.slo_correction_create_data import SLOCorrectionCreateData from datadog_api_client.v1.model.slo_correction_create_request import SLOCorrectionCreateRequest from datadog_api_client.v1.model.slo_correction_create_request_attributes import SLOCorrectionCreateRequestAttributes from datadog_api_client.v1.model.slo_correction_type import SLOCorrectionType # there is a valid "slo" in the system SLO_DATA_0_ID = environ["SLO_DATA_0_ID"] body = SLOCorrectionCreateRequest( data=SLOCorrectionCreateData( attributes=SLOCorrectionCreateRequestAttributes( category=SLOCorrectionCategory.SCHEDULED_MAINTENANCE, description="Example-Service-Level-Objective-Correction", slo_id=SLO_DATA_0_ID, start=int(datetime.now().timestamp()), duration=3600, rrule="FREQ=DAILY;INTERVAL=10;COUNT=5", timezone="UTC", ), type=SLOCorrectionType.CORRECTION, ), ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = ServiceLevelObjectiveCorrectionsApi(api_client) response = api_instance.create_slo_correction(body=body) print(response) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" python3 "example.py" ##### ```ruby # Create an SLO correction returns "OK" response require "datadog_api_client" api_instance = DatadogAPIClient::V1::ServiceLevelObjectiveCorrectionsAPI.new # there is a valid "slo" in the system SLO_DATA_0_ID = ENV["SLO_DATA_0_ID"] body = DatadogAPIClient::V1::SLOCorrectionCreateRequest.new({ data: DatadogAPIClient::V1::SLOCorrectionCreateData.new({ attributes: DatadogAPIClient::V1::SLOCorrectionCreateRequestAttributes.new({ category: DatadogAPIClient::V1::SLOCorrectionCategory::SCHEDULED_MAINTENANCE, description: "Example-Service-Level-Objective-Correction", _end: (Time.now + 1 * 3600).to_i, slo_id: SLO_DATA_0_ID, start: Time.now.to_i, timezone: "UTC", }), type: DatadogAPIClient::V1::SLOCorrectionType::CORRECTION, }), }) p api_instance.create_slo_correction(body) ``` ##### ```ruby # Create an SLO correction with rrule returns "OK" response require "datadog_api_client" api_instance = DatadogAPIClient::V1::ServiceLevelObjectiveCorrectionsAPI.new # there is a valid "slo" in the system SLO_DATA_0_ID = ENV["SLO_DATA_0_ID"] body = DatadogAPIClient::V1::SLOCorrectionCreateRequest.new({ data: DatadogAPIClient::V1::SLOCorrectionCreateData.new({ attributes: DatadogAPIClient::V1::SLOCorrectionCreateRequestAttributes.new({ category: DatadogAPIClient::V1::SLOCorrectionCategory::SCHEDULED_MAINTENANCE, description: "Example-Service-Level-Objective-Correction", slo_id: SLO_DATA_0_ID, start: Time.now.to_i, duration: 3600, rrule: "FREQ=DAILY;INTERVAL=10;COUNT=5", timezone: "UTC", }), type: DatadogAPIClient::V1::SLOCorrectionType::CORRECTION, }), }) p api_instance.create_slo_correction(body) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" rb "example.rb" ##### ```rust // Create an SLO correction returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV1::api_service_level_objective_corrections::ServiceLevelObjectiveCorrectionsAPI; use datadog_api_client::datadogV1::model::SLOCorrectionCategory; use datadog_api_client::datadogV1::model::SLOCorrectionCreateData; use datadog_api_client::datadogV1::model::SLOCorrectionCreateRequest; use datadog_api_client::datadogV1::model::SLOCorrectionCreateRequestAttributes; use datadog_api_client::datadogV1::model::SLOCorrectionType; #[tokio::main] async fn main() { // there is a valid "slo" in the system let slo_data_0_id = std::env::var("SLO_DATA_0_ID").unwrap(); let body = SLOCorrectionCreateRequest::new().data( SLOCorrectionCreateData::new(SLOCorrectionType::CORRECTION).attributes( SLOCorrectionCreateRequestAttributes::new( SLOCorrectionCategory::SCHEDULED_MAINTENANCE, slo_data_0_id.clone(), 1636629071, ) .description("Example-Service-Level-Objective-Correction".to_string()) .end(1636632671) .timezone("UTC".to_string()), ), ); let configuration = datadog::Configuration::new(); let api = ServiceLevelObjectiveCorrectionsAPI::with_config(configuration); let resp = api.create_slo_correction(body).await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` ##### ```rust // Create an SLO correction with rrule returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV1::api_service_level_objective_corrections::ServiceLevelObjectiveCorrectionsAPI; use datadog_api_client::datadogV1::model::SLOCorrectionCategory; use datadog_api_client::datadogV1::model::SLOCorrectionCreateData; use datadog_api_client::datadogV1::model::SLOCorrectionCreateRequest; use datadog_api_client::datadogV1::model::SLOCorrectionCreateRequestAttributes; use datadog_api_client::datadogV1::model::SLOCorrectionType; #[tokio::main] async fn main() { // there is a valid "slo" in the system let slo_data_0_id = std::env::var("SLO_DATA_0_ID").unwrap(); let body = SLOCorrectionCreateRequest::new().data( SLOCorrectionCreateData::new(SLOCorrectionType::CORRECTION).attributes( SLOCorrectionCreateRequestAttributes::new( SLOCorrectionCategory::SCHEDULED_MAINTENANCE, slo_data_0_id.clone(), 1636629071, ) .description("Example-Service-Level-Objective-Correction".to_string()) .duration(3600) .rrule("FREQ=DAILY;INTERVAL=10;COUNT=5".to_string()) .timezone("UTC".to_string()), ), ); let configuration = datadog::Configuration::new(); let api = ServiceLevelObjectiveCorrectionsAPI::with_config(configuration); let resp = api.create_slo_correction(body).await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run ##### ```typescript /** * Create an SLO correction returns "OK" response */ import { client, v1 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v1.ServiceLevelObjectiveCorrectionsApi(configuration); // there is a valid "slo" in the system const SLO_DATA_0_ID = process.env.SLO_DATA_0_ID as string; const params: v1.ServiceLevelObjectiveCorrectionsApiCreateSLOCorrectionRequest = { body: { data: { attributes: { category: "Scheduled Maintenance", description: "Example-Service-Level-Objective-Correction", end: Math.round( new Date(new Date().getTime() + 1 * 3600 * 1000).getTime() / 1000 ), sloId: SLO_DATA_0_ID, start: Math.round(new Date().getTime() / 1000), timezone: "UTC", }, type: "correction", }, }, }; apiInstance .createSLOCorrection(params) .then((data: v1.SLOCorrectionResponse) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` ##### ```typescript /** * Create an SLO correction with rrule returns "OK" response */ import { client, v1 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v1.ServiceLevelObjectiveCorrectionsApi(configuration); // there is a valid "slo" in the system const SLO_DATA_0_ID = process.env.SLO_DATA_0_ID as string; const params: v1.ServiceLevelObjectiveCorrectionsApiCreateSLOCorrectionRequest = { body: { data: { attributes: { category: "Scheduled Maintenance", description: "Example-Service-Level-Objective-Correction", sloId: SLO_DATA_0_ID, start: Math.round(new Date().getTime() / 1000), duration: 3600, rrule: "FREQ=DAILY;INTERVAL=10;COUNT=5", timezone: "UTC", }, type: "correction", }, }, }; apiInstance .createSLOCorrection(params) .then((data: v1.SLOCorrectionResponse) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" tsc "example.ts" {% /tab %}