일정 생성하기
경고This endpoint is in Preview and may introduce breaking changes.
If you have any feedback, contact Datadog support.
POST
https://api.datadoghq.com/api/unstable/fleet/scheduleshttps://api.us3.datadoghq.com/api/unstable/fleet/scheduleshttps://api.us5.datadoghq.com/api/unstable/fleet/scheduleshttps://api.datadoghq.eu/api/unstable/fleet/scheduleshttps://api.ap1.datadoghq.com/api/unstable/fleet/scheduleshttps://api.ap2.datadoghq.com/api/unstable/fleet/scheduleshttps://api.uk1.datadoghq.com/api/unstable/fleet/scheduleshttps://api.ddog-gov.com/api/unstable/fleet/scheduleshttps://api.us2.ddog-gov.com/api/unstable/fleet/schedules개요
자동화된 패키지 업그레이드를 위한 새 일정을 생성합니다.
일정은 호스트 집합에 패키지 업그레이드를 자동으로 배포할 시기와 빈도를 정의합니다. 각 일정에는 다음 항목이 포함됩니다.
- 대상 호스트를 선택하기 위한 필터 쿼리
- 유지 관리 기간을 정의하는 반복 규칙
- 버전 전략(예: 항상 최신 버전 또는 최신 버전 이후 N 버전)
유지 관리 기간 중에 일정이 트리거되면 일치하는 모든 호스트에서 Datadog Agent를 지정된 버전으로 업그레이드하는 배포가 자동으로 생성됩니다.
요청
Body Data (required)
일정 세부 정보가 포함된 요청 페이로드입니다.
항목
유형
설명
data [required]object
새 일정을 생성하기 위한 요청 페이로드입니다.
attributes [required]object
Attributes for creating a new schedule.
name [required]string
Human-readable name for the schedule.
query [required]string
Query used to filter and select target hosts for scheduled deployments. Uses the Datadog query syntax.
rule [required]object
Defines the recurrence pattern for the schedule. Specifies when deployments should be automatically triggered based on maintenance windows.
days_of_week [required][string]
List of days of the week when the schedule should trigger. Valid values are: "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun".
maintenance_window_duration [required]int64
Duration of the maintenance window in minutes.
start_maintenance_window [required]string
Start time of the maintenance window in 24-hour clock format (HH:MM). Deployments will be triggered at this time on the specified days.
timezone [required]string
Timezone for the schedule in IANA Time Zone Database format (e.g., "America/New_York", "UTC").
statusenum
The status of the schedule.
active: The schedule is active and will create deployments according to its recurrence rule.inactive: The schedule is inactive and will not create any deployments.
Allowed enum values:
active, inactiveversion_to_latestint64
Number of major versions behind the latest to target for upgrades.
- 0: Always upgrade to the latest version (default)
- 1: Upgrade to latest minus 1 major version
- 2: Upgrade to latest minus 2 major versions Maximum value is 2.
type [required]enum
The type of schedule resource.
scheduleAllowed enum values:
schedule{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod AND service:web",
"rule": {
"days_of_week": [
"Mon",
"Wed",
"Fri"
],
"maintenance_window_duration": 1200,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}응답
CREATED
Response containing a single schedule.
항목
유형
설명
dataobject
A schedule that automatically creates deployments based on a recurrence rule.
attributes [required]object
Attributes of a schedule in the response.
created_at_unixint64
Unix timestamp (seconds since epoch) when the schedule was created.
created_bystring
User handle of the person who created the schedule.
namestring
Human-readable name for the schedule.
querystring
Query used to filter and select target hosts for scheduled deployments. Uses the Datadog query syntax.
ruleobject
Defines the recurrence pattern for the schedule. Specifies when deployments should be automatically triggered based on maintenance windows.
days_of_week [required][string]
List of days of the week when the schedule should trigger. Valid values are: "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun".
maintenance_window_duration [required]int64
Duration of the maintenance window in minutes.
start_maintenance_window [required]string
Start time of the maintenance window in 24-hour clock format (HH:MM). Deployments will be triggered at this time on the specified days.
timezone [required]string
Timezone for the schedule in IANA Time Zone Database format (e.g., "America/New_York", "UTC").
statusenum
The status of the schedule.
active: The schedule is active and will create deployments according to its recurrence rule.inactive: The schedule is inactive and will not create any deployments.
Allowed enum values:
active, inactiveupdated_at_unixint64
Unix timestamp (seconds since epoch) when the schedule was last updated.
updated_bystring
User handle of the person who last updated the schedule.
version_to_latestint64
Number of major versions behind the latest to target for upgrades.
- 0: Always upgrade to the latest version
- 1: Upgrade to latest minus 1 major version
- 2: Upgrade to latest minus 2 major versions Maximum value is 2.
id [required]string
Unique identifier for the schedule.
type [required]enum
The type of schedule resource.
scheduleAllowed enum values:
schedule{
"data": {
"attributes": {
"created_at_unix": 1699999999,
"created_by": "user@example.com",
"name": "Weekly Production Agent Updates",
"query": "env:prod AND service:web",
"rule": {
"days_of_week": [
"Mon",
"Wed",
"Fri"
],
"maintenance_window_duration": 1200,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"updated_at_unix": 1699999999,
"updated_by": "user@example.com",
"version_to_latest": 0
},
"id": "abc-def-ghi-123",
"type": "schedule"
}
}Bad Request
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Unauthorized
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
일정 생성하기
## Conservative staging updates (N-1 version)
# 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/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF## Conservative staging updates (N-1 version)
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Staging Environment - Conservative Updates",
"query": "env:staging",
"rule": {
"days_of_week": [
"Fri"
],
"maintenance_window_duration": 240,
"start_maintenance_window": "22:00",
"timezone": "UTC"
},
"status": "active",
"version_to_latest": 1
},
"type": "schedule"
}
}
EOF
## default
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF
## Weekly production agent updates
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/unstable/fleet/schedules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "Weekly Production Agent Updates",
"query": "env:prod",
"rule": {
"days_of_week": [
"Mon",
"Wed"
],
"maintenance_window_duration": 180,
"start_maintenance_window": "02:00",
"timezone": "America/New_York"
},
"status": "active",
"version_to_latest": 0
},
"type": "schedule"
}
}
EOF일정 생성하기
// Create a schedule returns "CREATED" 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.FleetScheduleCreateRequest{
Data: datadogV2.FleetScheduleCreate{
Attributes: datadogV2.FleetScheduleCreateAttributes{
Name: "Weekly Production Agent Updates",
Query: "env:prod AND service:web",
Rule: datadogV2.FleetScheduleRecurrenceRule{
DaysOfWeek: []string{
"Mon",
"Wed",
"Fri",
},
MaintenanceWindowDuration: 1200,
StartMaintenanceWindow: "02:00",
Timezone: "America/New_York",
},
Status: datadogV2.FLEETSCHEDULESTATUS_ACTIVE.Ptr(),
VersionToLatest: datadog.PtrInt64(0),
},
Type: datadogV2.FLEETSCHEDULERESOURCETYPE_SCHEDULE,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.CreateFleetSchedule", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewFleetAutomationApi(apiClient)
resp, r, err := api.CreateFleetSchedule(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `FleetAutomationApi.CreateFleetSchedule`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `FleetAutomationApi.CreateFleetSchedule`:\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"일정 생성하기
// Create a schedule returns "CREATED" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.FleetAutomationApi;
import com.datadog.api.client.v2.model.FleetScheduleCreate;
import com.datadog.api.client.v2.model.FleetScheduleCreateAttributes;
import com.datadog.api.client.v2.model.FleetScheduleCreateRequest;
import com.datadog.api.client.v2.model.FleetScheduleRecurrenceRule;
import com.datadog.api.client.v2.model.FleetScheduleResourceType;
import com.datadog.api.client.v2.model.FleetScheduleResponse;
import com.datadog.api.client.v2.model.FleetScheduleStatus;
import java.util.Arrays;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.createFleetSchedule", true);
FleetAutomationApi apiInstance = new FleetAutomationApi(defaultClient);
FleetScheduleCreateRequest body =
new FleetScheduleCreateRequest()
.data(
new FleetScheduleCreate()
.attributes(
new FleetScheduleCreateAttributes()
.name("Weekly Production Agent Updates")
.query("env:prod AND service:web")
.rule(
new FleetScheduleRecurrenceRule()
.daysOfWeek(Arrays.asList("Mon", "Wed", "Fri"))
.maintenanceWindowDuration(1200L)
.startMaintenanceWindow("02:00")
.timezone("America/New_York"))
.status(FleetScheduleStatus.ACTIVE)
.versionToLatest(0L))
.type(FleetScheduleResourceType.SCHEDULE));
try {
FleetScheduleResponse result = apiInstance.createFleetSchedule(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling FleetAutomationApi#createFleetSchedule");
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"일정 생성하기
"""
Create a schedule returns "CREATED" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.fleet_automation_api import FleetAutomationApi
from datadog_api_client.v2.model.fleet_schedule_create import FleetScheduleCreate
from datadog_api_client.v2.model.fleet_schedule_create_attributes import FleetScheduleCreateAttributes
from datadog_api_client.v2.model.fleet_schedule_create_request import FleetScheduleCreateRequest
from datadog_api_client.v2.model.fleet_schedule_recurrence_rule import FleetScheduleRecurrenceRule
from datadog_api_client.v2.model.fleet_schedule_resource_type import FleetScheduleResourceType
from datadog_api_client.v2.model.fleet_schedule_status import FleetScheduleStatus
body = FleetScheduleCreateRequest(
data=FleetScheduleCreate(
attributes=FleetScheduleCreateAttributes(
name="Weekly Production Agent Updates",
query="env:prod AND service:web",
rule=FleetScheduleRecurrenceRule(
days_of_week=[
"Mon",
"Wed",
"Fri",
],
maintenance_window_duration=1200,
start_maintenance_window="02:00",
timezone="America/New_York",
),
status=FleetScheduleStatus.ACTIVE,
version_to_latest=0,
),
type=FleetScheduleResourceType.SCHEDULE,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_fleet_schedule"] = True
with ApiClient(configuration) as api_client:
api_instance = FleetAutomationApi(api_client)
response = api_instance.create_fleet_schedule(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"일정 생성하기
# Create a schedule returns "CREATED" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.create_fleet_schedule".to_sym] = true
end
api_instance = DatadogAPIClient::V2::FleetAutomationAPI.new
body = DatadogAPIClient::V2::FleetScheduleCreateRequest.new({
data: DatadogAPIClient::V2::FleetScheduleCreate.new({
attributes: DatadogAPIClient::V2::FleetScheduleCreateAttributes.new({
name: "Weekly Production Agent Updates",
query: "env:prod AND service:web",
rule: DatadogAPIClient::V2::FleetScheduleRecurrenceRule.new({
days_of_week: [
"Mon",
"Wed",
"Fri",
],
maintenance_window_duration: 1200,
start_maintenance_window: "02:00",
timezone: "America/New_York",
}),
status: DatadogAPIClient::V2::FleetScheduleStatus::ACTIVE,
version_to_latest: 0,
}),
type: DatadogAPIClient::V2::FleetScheduleResourceType::SCHEDULE,
}),
})
p api_instance.create_fleet_schedule(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"일정 생성하기
// Create a schedule returns "CREATED" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_fleet_automation::FleetAutomationAPI;
use datadog_api_client::datadogV2::model::FleetScheduleCreate;
use datadog_api_client::datadogV2::model::FleetScheduleCreateAttributes;
use datadog_api_client::datadogV2::model::FleetScheduleCreateRequest;
use datadog_api_client::datadogV2::model::FleetScheduleRecurrenceRule;
use datadog_api_client::datadogV2::model::FleetScheduleResourceType;
use datadog_api_client::datadogV2::model::FleetScheduleStatus;
#[tokio::main]
async fn main() {
let body = FleetScheduleCreateRequest::new(FleetScheduleCreate::new(
FleetScheduleCreateAttributes::new(
"Weekly Production Agent Updates".to_string(),
"env:prod AND service:web".to_string(),
FleetScheduleRecurrenceRule::new(
vec!["Mon".to_string(), "Wed".to_string(), "Fri".to_string()],
1200,
"02:00".to_string(),
"America/New_York".to_string(),
),
)
.status(FleetScheduleStatus::ACTIVE)
.version_to_latest(0),
FleetScheduleResourceType::SCHEDULE,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.create_fleet_schedule", true);
let api = FleetAutomationAPI::with_config(configuration);
let resp = api.create_fleet_schedule(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="<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 run일정 생성하기
/**
* Create a schedule returns "CREATED" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.createFleetSchedule"] = true;
const apiInstance = new v2.FleetAutomationApi(configuration);
const params: v2.FleetAutomationApiCreateFleetScheduleRequest = {
body: {
data: {
attributes: {
name: "Weekly Production Agent Updates",
query: "env:prod AND service:web",
rule: {
daysOfWeek: ["Mon", "Wed", "Fri"],
maintenanceWindowDuration: 1200,
startMaintenanceWindow: "02:00",
timezone: "America/New_York",
},
status: "active",
versionToLatest: 0,
},
type: "schedule",
},
},
};
apiInstance
.createFleetSchedule(params)
.then((data: v2.FleetScheduleResponse) => {
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"