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Foxpro / Datadog API Collection / Create a monitor

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LOCAL loHttp
LOCAL lnSuccess
LOCAL loJson
LOCAL loResp
LOCAL loSbResponseBody
LOCAL loJResp
LOCAL lnRespStatusCode
LOCAL lnV_end
LOCAL lnStart
LOCAL j
LOCAL lnCount_j
LOCAL lcStrVal
LOCAL lcData_source
LOCAL lcAggregation
LOCAL lnInterval
LOCAL lcComputeMetric
LOCAL lcQuery
LOCAL lcFacet
LOCAL lnLimit
LOCAL lcSortAggregation
LOCAL lcSortMetric
LOCAL lcOrder
LOCAL lcV_type
LOCAL lcQuery
LOCAL lcCreated
LOCAL lcV_Email
LOCAL lcHandle
LOCAL lcName
LOCAL lcDeleted
LOCAL lnId
LOCAL lcMessage
LOCAL lcModified
LOCAL lnMulti
LOCAL lcName
LOCAL lcGroup_by
LOCAL lcMetric
LOCAL lcV_Type
LOCAL lnEnable_logs_sample
LOCAL lnEnable_samples
LOCAL lcEscalation_message
LOCAL lnEvaluation_delay
LOCAL lcGroup_retention_duration
LOCAL lnGroupby_simple_monitor
LOCAL lnInclude_tags
LOCAL lnLocked
LOCAL lnMin_failure_duration
LOCAL lnMin_location_failed
LOCAL lnNew_group_delay
LOCAL lnNew_host_delay
LOCAL lnNo_data_timeframe
LOCAL lcNotification_preset_name
LOCAL lnNotify_audit
LOCAL lnNotify_no_data
LOCAL lcOn_missing_data
LOCAL lcRenotify_interval
LOCAL lnRenotify_occurrences
LOCAL lnRequire_full_window
LOCAL lcDay_starts
LOCAL lnHour_starts
LOCAL lnMonth_starts
LOCAL lnNon_6f_
LOCAL lcSynthetics_check_id
LOCAL lcRecovery_window
LOCAL lcTrigger_window
LOCAL lcCritical
LOCAL lcCritical_recovery
LOCAL lcOk
LOCAL lcUnknown
LOCAL lcWarning
LOCAL lcWarning_recovery
LOCAL lcTimeout_h
LOCAL lcOverall_state
LOCAL lnPriority
LOCAL lnLast_nodata_ts
LOCAL lnLast_notified_ts
LOCAL lnLast_resolved_ts
LOCAL lnLast_triggered_ts
LOCAL lcLorem_1Name
LOCAL lcStatus
LOCAL lnNisi_c43Last_nodata_ts
LOCAL lnNisi_c43Last_notified_ts
LOCAL lnNisi_c43Last_resolved_ts
LOCAL lnNisi_c43Last_triggered_ts
LOCAL lcNisi_c43Name
LOCAL lcNisi_c43Status
LOCAL lnMinim_cLast_nodata_ts
LOCAL lnMinim_cLast_notified_ts
LOCAL lnMinim_cLast_resolved_ts
LOCAL lnMinim_cLast_triggered_ts
LOCAL lcMinim_cName
LOCAL lcMinim_cStatus
LOCAL i
LOCAL lnCount_i

* This example assumes the Chilkat API to have been previously unlocked.
* See Global Unlock Sample for sample code.

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.Http')
loHttp = CreateObject('Chilkat.Http')

* Use this online tool to generate code from sample JSON: Generate Code to Create JSON

* The following JSON is sent in the request body.

* {
*   "message": "You may need to add web hosts if this is consistently high.",
*   "name": "Bytes received on host0",
*   "options": {
*     "no_data_timeframe": 20,
*     "notify_no_data": true
*   },
*   "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
*   "tags": [
*     "app:webserver",
*     "frontend"
*   ],
*   "type": "query alert"
* }

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject')
loJson = CreateObject('Chilkat.JsonObject')
loJson.UpdateString("message","You may need to add web hosts if this is consistently high.")
loJson.UpdateString("name","Bytes received on host0")
loJson.UpdateInt("options.no_data_timeframe",20)
loJson.UpdateBool("options.notify_no_data",1)
loJson.UpdateString("query","avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100")
loJson.UpdateString("tags[0]","app:webserver")
loJson.UpdateString("tags[1]","frontend")
loJson.UpdateString("type","query alert")

loHttp.SetRequestHeader("Content-Type","application/json")
loHttp.SetRequestHeader("Accept","application/json")

loResp = loHttp.PostJson3("https://api.app.ddog-gov.com/api/v1/monitor","application/json",loJson)
IF (loHttp.LastMethodSuccess = 0) THEN
    ? loHttp.LastErrorText
    RELEASE loHttp
    RELEASE loJson
    CANCEL
ENDIF

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.StringBuilder')
loSbResponseBody = CreateObject('Chilkat.StringBuilder')
loResp.GetBodySb(loSbResponseBody)

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject')
loJResp = CreateObject('Chilkat.JsonObject')
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = 0

? "Response Body:"
? loJResp.Emit()

lnRespStatusCode = loResp.StatusCode
? "Response Status Code = " + STR(lnRespStatusCode)
IF (lnRespStatusCode >= 400) THEN
    ? "Response Header:"
    ? loResp.Header
    ? "Failed."
    RELEASE loResp
    RELEASE loHttp
    RELEASE loJson
    RELEASE loSbResponseBody
    RELEASE loJResp
    CANCEL
ENDIF

RELEASE loResp

* Sample JSON response:
* (Sample code for parsing the JSON response is shown below)

* {
*   "type": "query alert",
*   "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
*   "created": "1989-12-01T14:28:43.831Z",
*   "creator": {
*     "email": "officia sunt",
*     "handle": "pariatur",
*     "name": "aute do"
*   },
*   "deleted": "2020-10-30T20:46:24.520Z",
*   "id": -50675854,
*   "matching_downtimes": [
*     {
*       "id": 1625,
*       "end": 1412792983,
*       "scope": [
*         "env:staging"
*       ],
*       "start": 1412792983
*     },
*     {
*       "id": 1625,
*       "end": 1412792983,
*       "scope": [
*         "env:staging"
*       ],
*       "start": 1412792983
*     }
*   ],
*   "message": "ullamco incididunt cupidatat",
*   "modified": "1981-03-27T05:04:03.098Z",
*   "multi": false,
*   "name": "My monitor",
*   "options": {
*     "aggregation": {
*       "group_by": "host",
*       "metric": "metrics.name",
*       "type": "count"
*     },
*     "device_ids": [
*       "mobile_small",
*       "chrome.tablet"
*     ],
*     "enable_logs_sample": false,
*     "enable_samples": false,
*     "escalation_message": "none",
*     "evaluation_delay": -52819274,
*     "group_retention_duration": "dolor Lorem qui",
*     "groupby_simple_monitor": false,
*     "include_tags": true,
*     "locked": false,
*     "min_failure_duration": 0,
*     "min_location_failed": 1,
*     "new_group_delay": -94315945,
*     "new_host_delay": 300,
*     "no_data_timeframe": -86360342,
*     "notification_preset_name": "show_all",
*     "notify_audit": false,
*     "notify_by": [
*       "labore dolore",
*       "deserunt commodo consectetur"
*     ],
*     "notify_no_data": false,
*     "on_missing_data": "resolve",
*     "renotify_interval": null,
*     "renotify_occurrences": 56355858,
*     "renotify_statuses": [
*       "warn",
*       "no data"
*     ],
*     "require_full_window": false,
*     "scheduling_options": {
*       "evaluation_window": {
*         "day_starts": "04:00",
*         "hour_starts": 0,
*         "month_starts": 1
*       }
*     },
*     "silenced": {
*       "non_6f_": 77287100
*     },
*     "synthetics_check_id": "culpa in laborum irure",
*     "threshold_windows": {
*       "recovery_window": "culpa cupidatat Lorem ut",
*       "trigger_window": "fugiat officia mollit esse quis"
*     },
*     "thresholds": {
*       "critical": -44507487.0891542,
*       "critical_recovery": 94365870.17342958,
*       "ok": 26645340.31156695,
*       "unknown": -32772943.396166816,
*       "warning": 75330874.10211122,
*       "warning_recovery": 30665996.226613894
*     },
*     "timeout_h": null,
*     "variables": [
*       {
*         "data_source": "rum",
*         "compute": {
*           "aggregation": "avg",
*           "interval": 60000,
*           "metric": "@duration"
*         },
*         "name": "query_errors",
*         "group_by": [
*           {
*             "facet": "status",
*             "limit": 10,
*             "sort": {
*               "aggregation": "avg",
*               "metric": "minim tempor i",
*               "order": "desc"
*             }
*           },
*           {
*             "facet": "status",
*             "limit": 10,
*             "sort": {
*               "aggregation": "avg",
*               "metric": "Ut fugiat officia",
*               "order": "desc"
*             }
*           }
*         ],
*         "indexes": [
*           "days-3",
*           "days-7"
*         ],
*         "search": {
*           "query": "service:query"
*         }
*       },
*       {
*         "data_source": "rum",
*         "compute": {
*           "aggregation": "avg",
*           "interval": 60000,
*           "metric": "@duration"
*         },
*         "name": "query_errors",
*         "group_by": [
*           {
*             "facet": "status",
*             "limit": 10,
*             "sort": {
*               "aggregation": "avg",
*               "metric": "do velit",
*               "order": "desc"
*             }
*           },
*           {
*             "facet": "status",
*             "limit": 10,
*             "sort": {
*               "aggregation": "avg",
*               "metric": "amet proident anim in",
*               "order": "desc"
*             }
*           }
*         ],
*         "indexes": [
*           "days-3",
*           "days-7"
*         ],
*         "search": {
*           "query": "service:query"
*         }
*       }
*     ]
*   },
*   "overall_state": "Warn",
*   "priority": 1,
*   "restricted_roles": [
*     "enim qui cillum est",
*     "quis ut"
*   ],
*   "state": {
*     "groups": {
*       "Lorem_1": {
*         "last_nodata_ts": -12653992,
*         "last_notified_ts": -66141067,
*         "last_resolved_ts": 5643925,
*         "last_triggered_ts": -6121593,
*         "name": "dolore nulla i",
*         "status": "OK"
*       },
*       "nisi_c43": {
*         "last_nodata_ts": -66061060,
*         "last_notified_ts": -86988012,
*         "last_resolved_ts": -39919633,
*         "last_triggered_ts": 13467862,
*         "name": "Ut fugiat eiusmod anim",
*         "status": "Ignored"
*       },
*       "minim_c": {
*         "last_nodata_ts": 6509669,
*         "last_notified_ts": 39348490,
*         "last_resolved_ts": 13221088,
*         "last_triggered_ts": 21889420,
*         "name": "in velit Duis",
*         "status": "Alert"
*       }
*     }
*   },
*   "tags": [
*     "ex tempor",
*     "enim veniam dolore"
*   ]
* }

* Sample code for parsing the JSON response...
* Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code

lcV_type = loJResp.StringOf("type")
lcQuery = loJResp.StringOf("query")
lcCreated = loJResp.StringOf("created")
lcV_Email = loJResp.StringOf("creator.email")
lcHandle = loJResp.StringOf("creator.handle")
lcName = loJResp.StringOf("creator.name")
lcDeleted = loJResp.StringOf("deleted")
lnId = loJResp.IntOf("id")
lcMessage = loJResp.StringOf("message")
lcModified = loJResp.StringOf("modified")
lnMulti = loJResp.BoolOf("multi")
lcName = loJResp.StringOf("name")
lcGroup_by = loJResp.StringOf("options.aggregation.group_by")
lcMetric = loJResp.StringOf("options.aggregation.metric")
lcV_Type = loJResp.StringOf("options.aggregation.type")
lnEnable_logs_sample = loJResp.BoolOf("options.enable_logs_sample")
lnEnable_samples = loJResp.BoolOf("options.enable_samples")
lcEscalation_message = loJResp.StringOf("options.escalation_message")
lnEvaluation_delay = loJResp.IntOf("options.evaluation_delay")
lcGroup_retention_duration = loJResp.StringOf("options.group_retention_duration")
lnGroupby_simple_monitor = loJResp.BoolOf("options.groupby_simple_monitor")
lnInclude_tags = loJResp.BoolOf("options.include_tags")
lnLocked = loJResp.BoolOf("options.locked")
lnMin_failure_duration = loJResp.IntOf("options.min_failure_duration")
lnMin_location_failed = loJResp.IntOf("options.min_location_failed")
lnNew_group_delay = loJResp.IntOf("options.new_group_delay")
lnNew_host_delay = loJResp.IntOf("options.new_host_delay")
lnNo_data_timeframe = loJResp.IntOf("options.no_data_timeframe")
lcNotification_preset_name = loJResp.StringOf("options.notification_preset_name")
lnNotify_audit = loJResp.BoolOf("options.notify_audit")
lnNotify_no_data = loJResp.BoolOf("options.notify_no_data")
lcOn_missing_data = loJResp.StringOf("options.on_missing_data")
lcRenotify_interval = loJResp.StringOf("options.renotify_interval")
lnRenotify_occurrences = loJResp.IntOf("options.renotify_occurrences")
lnRequire_full_window = loJResp.BoolOf("options.require_full_window")
lcDay_starts = loJResp.StringOf("options.scheduling_options.evaluation_window.day_starts")
lnHour_starts = loJResp.IntOf("options.scheduling_options.evaluation_window.hour_starts")
lnMonth_starts = loJResp.IntOf("options.scheduling_options.evaluation_window.month_starts")
lnNon_6f_ = loJResp.IntOf("options.silenced.non_6f_")
lcSynthetics_check_id = loJResp.StringOf("options.synthetics_check_id")
lcRecovery_window = loJResp.StringOf("options.threshold_windows.recovery_window")
lcTrigger_window = loJResp.StringOf("options.threshold_windows.trigger_window")
lcCritical = loJResp.StringOf("options.thresholds.critical")
lcCritical_recovery = loJResp.StringOf("options.thresholds.critical_recovery")
lcOk = loJResp.StringOf("options.thresholds.ok")
lcUnknown = loJResp.StringOf("options.thresholds.unknown")
lcWarning = loJResp.StringOf("options.thresholds.warning")
lcWarning_recovery = loJResp.StringOf("options.thresholds.warning_recovery")
lcTimeout_h = loJResp.StringOf("options.timeout_h")
lcOverall_state = loJResp.StringOf("overall_state")
lnPriority = loJResp.IntOf("priority")
lnLast_nodata_ts = loJResp.IntOf("state.groups.Lorem_1.last_nodata_ts")
lnLast_notified_ts = loJResp.IntOf("state.groups.Lorem_1.last_notified_ts")
lnLast_resolved_ts = loJResp.IntOf("state.groups.Lorem_1.last_resolved_ts")
lnLast_triggered_ts = loJResp.IntOf("state.groups.Lorem_1.last_triggered_ts")
lcLorem_1Name = loJResp.StringOf("state.groups.Lorem_1.name")
lcStatus = loJResp.StringOf("state.groups.Lorem_1.status")
lnNisi_c43Last_nodata_ts = loJResp.IntOf("state.groups.nisi_c43.last_nodata_ts")
lnNisi_c43Last_notified_ts = loJResp.IntOf("state.groups.nisi_c43.last_notified_ts")
lnNisi_c43Last_resolved_ts = loJResp.IntOf("state.groups.nisi_c43.last_resolved_ts")
lnNisi_c43Last_triggered_ts = loJResp.IntOf("state.groups.nisi_c43.last_triggered_ts")
lcNisi_c43Name = loJResp.StringOf("state.groups.nisi_c43.name")
lcNisi_c43Status = loJResp.StringOf("state.groups.nisi_c43.status")
lnMinim_cLast_nodata_ts = loJResp.IntOf("state.groups.minim_c.last_nodata_ts")
lnMinim_cLast_notified_ts = loJResp.IntOf("state.groups.minim_c.last_notified_ts")
lnMinim_cLast_resolved_ts = loJResp.IntOf("state.groups.minim_c.last_resolved_ts")
lnMinim_cLast_triggered_ts = loJResp.IntOf("state.groups.minim_c.last_triggered_ts")
lcMinim_cName = loJResp.StringOf("state.groups.minim_c.name")
lcMinim_cStatus = loJResp.StringOf("state.groups.minim_c.status")
i = 0
lnCount_i = loJResp.SizeOfArray("matching_downtimes")
DO WHILE i < lnCount_i
    loJResp.I = i
    lnId = loJResp.IntOf("matching_downtimes[i].id")
    lnV_end = loJResp.IntOf("matching_downtimes[i].end")
    lnStart = loJResp.IntOf("matching_downtimes[i].start")
    j = 0
    lnCount_j = loJResp.SizeOfArray("matching_downtimes[i].scope")
    DO WHILE j < lnCount_j
        loJResp.J = j
        lcStrVal = loJResp.StringOf("matching_downtimes[i].scope[j]")
        j = j + 1
    ENDDO
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("options.device_ids")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcStrVal = loJResp.StringOf("options.device_ids[i]")
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("options.notify_by")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcStrVal = loJResp.StringOf("options.notify_by[i]")
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("options.renotify_statuses")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcStrVal = loJResp.StringOf("options.renotify_statuses[i]")
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("options.variables")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcData_source = loJResp.StringOf("options.variables[i].data_source")
    lcAggregation = loJResp.StringOf("options.variables[i].compute.aggregation")
    lnInterval = loJResp.IntOf("options.variables[i].compute.interval")
    lcComputeMetric = loJResp.StringOf("options.variables[i].compute.metric")
    lcName = loJResp.StringOf("options.variables[i].name")
    lcQuery = loJResp.StringOf("options.variables[i].search.query")
    j = 0
    lnCount_j = loJResp.SizeOfArray("options.variables[i].group_by")
    DO WHILE j < lnCount_j
        loJResp.J = j
        lcFacet = loJResp.StringOf("options.variables[i].group_by[j].facet")
        lnLimit = loJResp.IntOf("options.variables[i].group_by[j].limit")
        lcSortAggregation = loJResp.StringOf("options.variables[i].group_by[j].sort.aggregation")
        lcSortMetric = loJResp.StringOf("options.variables[i].group_by[j].sort.metric")
        lcOrder = loJResp.StringOf("options.variables[i].group_by[j].sort.order")
        j = j + 1
    ENDDO
    j = 0
    lnCount_j = loJResp.SizeOfArray("options.variables[i].indexes")
    DO WHILE j < lnCount_j
        loJResp.J = j
        lcStrVal = loJResp.StringOf("options.variables[i].indexes[j]")
        j = j + 1
    ENDDO
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("restricted_roles")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcStrVal = loJResp.StringOf("restricted_roles[i]")
    i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("tags")
DO WHILE i < lnCount_i
    loJResp.I = i
    lcStrVal = loJResp.StringOf("tags[i]")
    i = i + 1
ENDDO

RELEASE loHttp
RELEASE loJson
RELEASE loSbResponseBody
RELEASE loJResp

Curl Command

curl -X POST
	-H "Content-Type: application/json"
	-H "Accept: application/json"
	-d '{
  "message": "You may need to add web hosts if this is consistently high.",
  "name": "Bytes received on host0",
  "options": {
    "no_data_timeframe": 20,
    "notify_no_data": true
  },
  "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
  "tags": [
    "app:webserver",
    "frontend"
  ],
  "type": "query alert"
}'
https://api.app.ddog-gov.com/api/v1/monitor

Postman Collection Item JSON

{
  "name": "Create a monitor",
  "request": {
    "method": "POST",
    "header": [
      {
        "key": "Content-Type",
        "value": "application/json"
      },
      {
        "key": "Accept",
        "value": "application/json"
      }
    ],
    "body": {
      "mode": "raw",
      "raw": "{\n  \"message\": \"You may need to add web hosts if this is consistently high.\",\n  \"name\": \"Bytes received on host0\",\n  \"options\": {\n    \"no_data_timeframe\": 20,\n    \"notify_no_data\": true\n  },\n  \"query\": \"avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100\",\n  \"tags\": [\n    \"app:webserver\",\n    \"frontend\"\n  ],\n  \"type\": \"query alert\"\n}",
      "options": {
        "raw": {
          "headerFamily": "json",
          "language": "json"
        }
      }
    },
    "url": {
      "raw": "{{baseUrl}}/api/v1/monitor",
      "host": [
        "{{baseUrl}}"
      ],
      "path": [
        "api",
        "v1",
        "monitor"
      ]
    },
    "description": "Create a monitor using the specified options.\n\n#### Monitor Types\n\nThe type of monitor chosen from:\n\n- anomaly: `query alert`\n- APM: `query alert` or `trace-analytics alert`\n- composite: `composite`\n- custom: `service check`\n- event: `event alert`\n- forecast: `query alert`\n- host: `service check`\n- integration: `query alert` or `service check`\n- live process: `process alert`\n- logs: `log alert`\n- metric: `query alert`\n- network: `service check`\n- outlier: `query alert`\n- process: `service check`\n- rum: `rum alert`\n- SLO: `slo alert`\n- watchdog: `event alert`\n- event-v2: `event-v2 alert`\n- audit: `audit alert`\n- error-tracking: `error-tracking alert`\n- database-monitoring: `database-monitoring alert`\n\n**Note**: Synthetic monitors are created through the Synthetics API. See the [Synthetics API] (https://docs.datadoghq.com/api/latest/synthetics/) documentation for more information.\n\n#### Query Types\n\n##### Metric Alert Query\n\nExample: `time_aggr(time_window):space_aggr:metric{tags} [by {key}] operator #`\n\n- `time_aggr`: avg, sum, max, min, change, or pct_change\n- `time_window`: `last_#m` (with `#` between 1 and 10080 depending on the monitor type) or `last_#h`(with `#` between 1 and 168 depending on the monitor type) or `last_1d`, or `last_1w`\n- `space_aggr`: avg, sum, min, or max\n- `tags`: one or more tags (comma-separated), or *\n- `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert)\n- `operator`: <, <=, >, >=, ==, or !=\n- `#`: an integer or decimal number used to set the threshold\n\nIf you are using the `_change_` or `_pct_change_` time aggregator, instead use `change_aggr(time_aggr(time_window),\ntimeshift):space_aggr:metric{tags} [by {key}] operator #` with:\n\n- `change_aggr` change, pct_change\n- `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/create/types/#define-the-conditions)\n- `time_window` last\\_#m (between 1 and 2880 depending on the monitor type), last\\_#h (between 1 and 48 depending on the monitor type), or last_#d (1 or 2)\n- `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago\n\nUse this to create an outlier monitor using the following query:\n`avg(last_30m):outliers(avg:system.cpu.user{role:es-events-data} by {host}, 'dbscan', 7) > 0`\n\n##### Service Check Query\n\nExample: `\"check\".over(tags).last(count).by(group).count_by_status()`\n\n- `check` name of the check, for example `datadog.agent.up`\n- `tags` one or more quoted tags (comma-separated), or \"*\". for example: `.over(\"env:prod\", \"role:db\")`; `over` cannot be blank.\n- `count` must be at greater than or equal to your max threshold (defined in the `options`). It is limited to 100.\nFor example, if you've specified to notify on 1 critical, 3 ok, and 2 warn statuses, `count` should be at least 3.\n- `group` must be specified for check monitors. Per-check grouping is already explicitly known for some service checks.\nFor example, Postgres integration monitors are tagged by `db`, `host`, and `port`, and Network monitors by `host`, `instance`, and `url`. See [Service Checks](https://docs.datadoghq.com/api/latest/service-checks/) documentation for more information.\n\n##### Event Alert Query\n\nExample: `events('sources:nagios status:error,warning priority:normal tags: \"string query\"').rollup(\"count\").last(\"1h\")\"`\n\n- `event`, the event query string:\n- `string_query` free text query to match against event title and text.\n- `sources` event sources (comma-separated).\n- `status` event statuses (comma-separated). Valid options: error, warn, and info.\n- `priority` event priorities (comma-separated). Valid options: low, normal, all.\n- `host` event reporting host (comma-separated).\n- `tags` event tags (comma-separated).\n- `excluded_tags` excluded event tags (comma-separated).\n- `rollup` the stats roll-up method. `count` is the only supported method now.\n- `last` the timeframe to roll up the counts. Examples: 45m, 4h. Supported timeframes: m, h and d. This value should not exceed 48 hours.\n\n**NOTE** The Event Alert Query is being deprecated and replaced by the Event V2 Alert Query. For more information, see the [Event Migration guide](https://docs.datadoghq.com/events/guides/migrating_to_new_events_features/).\n\n##### Event V2 Alert Query\n\nExample: `events(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n##### Process Alert Query\n\nExample: `processes(search).over(tags).rollup('count').last(timeframe) operator #`\n\n- `search` free text search string for querying processes.\nMatching processes match results on the [Live Processes](https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows) page.\n- `tags` one or more tags (comma-separated)\n- `timeframe` the timeframe to roll up the counts. Examples: 10m, 4h. Supported timeframes: s, m, h and d\n- `operator` <, <=, >, >=, ==, or !=\n- `#` an integer or decimal number used to set the threshold\n\n##### Logs Alert Query\n\nExample: `logs(query).index(index_name).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `index_name` For multi-index organizations, the log index in which the request is performed.\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n##### Composite Query\n\nExample: `12345 && 67890`, where `12345` and `67890` are the IDs of non-composite monitors\n\n* `name` [*required*, *default* = **dynamic, based on query**]: The name of the alert.\n* `message` [*required*, *default* = **dynamic, based on query**]: A message to include with notifications for this monitor.\nEmail notifications can be sent to specific users by using the same '@username' notation as events.\n* `tags` [*optional*, *default* = **empty list**]: A list of tags to associate with your monitor.\nWhen getting all monitor details via the API, use the `monitor_tags` argument to filter results by these tags.\nIt is only available via the API and isn't visible or editable in the Datadog UI.\n\n##### SLO Alert Query\n\nExample: `error_budget(\"slo_id\").over(\"time_window\") operator #`\n\n- `slo_id`: The alphanumeric SLO ID of the SLO you are configuring the alert for.\n- `time_window`: The time window of the SLO target you wish to alert on. Valid options: `7d`, `30d`, `90d`.\n- `operator`: `>=` or `>`\n\n##### Audit Alert Query\n\nExample: `audits(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** Only available on US1-FED and in closed beta on US1, EU, AP1, US3, and US5.\n\n##### CI Pipelines Alert Query\n\nExample: `ci-pipelines(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** CI Pipeline monitors are in alpha on US1, EU, AP1, US3, and US5.\n\n##### CI Tests Alert Query\n\nExample: `ci-tests(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** CI Test monitors are available only in closed beta on US1, EU, AP1, US3, and US5.\n\n##### Error Tracking Alert Query\n\nExample(RUM): `error-tracking-rum(query).rollup(rollup_method[, measure]).last(time_window) operator #`\nExample(APM Traces): `error-tracking-traces(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**Database Monitoring Alert Query**\n\nExample: `database-monitoring(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** Database Monitoring monitors are in alpha on US1."
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