Back to Collection Items
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
loHttp = createobject("CkHttp")
// 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"
// }
loJson = createobject("CkJsonObject")
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",.T.)
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 = .F.) then
? loHttp.LastErrorText
release loHttp
release loJson
return
endif
loSbResponseBody = createobject("CkStringBuilder")
loResp.GetBodySb(loSbResponseBody)
loJResp = createobject("CkJsonObject")
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = .F.
? "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
return
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")
llMulti = 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")
llEnable_logs_sample = loJResp.BoolOf("options.enable_logs_sample")
llEnable_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")
llGroupby_simple_monitor = loJResp.BoolOf("options.groupby_simple_monitor")
llInclude_tags = loJResp.BoolOf("options.include_tags")
llLocked = 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")
llNotify_audit = loJResp.BoolOf("options.notify_audit")
llNotify_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")
llRequire_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. 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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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