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func chilkatTest() {
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let http = CkoHttp()
var success: Bool
// 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"
// }
let json = CkoJsonObject()
json.UpdateString("message", value: "You may need to add web hosts if this is consistently high.")
json.UpdateString("name", value: "Bytes received on host0")
json.UpdateInt("options.no_data_timeframe", value: 20)
json.UpdateBool("options.notify_no_data", value: true)
json.UpdateString("query", value: "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100")
json.UpdateString("tags[0]", value: "app:webserver")
json.UpdateString("tags[1]", value: "frontend")
json.UpdateString("type", value: "query alert")
http.SetRequestHeader("Content-Type", value: "application/json")
http.SetRequestHeader("Accept", value: "application/json")
var resp: CkoHttpResponse? = http.PostJson3("https://api.app.ddog-gov.com/api/v1/monitor", contentType: "application/json", json: json)
if http.LastMethodSuccess == false {
print("\(http.LastErrorText)")
return
}
let sbResponseBody = CkoStringBuilder()
resp!.GetBodySb(sbResponseBody)
let jResp = CkoJsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = false
print("Response Body:")
print("\(jResp.Emit())")
var respStatusCode: Int = resp!.StatusCode.intValue
print("Response Status Code = \(respStatusCode)")
if respStatusCode >= 400 {
print("Response Header:")
print("\(resp!.Header)")
print("Failed.")
resp = nil
return
}
resp = nil
// 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
var v_end: Int
var start: Int
var j: Int
var count_j: Int
var strVal: String?
var data_source: String?
var Aggregation: String?
var Interval: Int
var computeMetric: String?
var Query: String?
var facet: String?
var limit: Int
var sortAggregation: String?
var sortMetric: String?
var Order: String?
var v_type: String? = jResp.StringOf("type")
var query: String? = jResp.StringOf("query")
var created: String? = jResp.StringOf("created")
var v_Email: String? = jResp.StringOf("creator.email")
var Handle: String? = jResp.StringOf("creator.handle")
var Name: String? = jResp.StringOf("creator.name")
var deleted: String? = jResp.StringOf("deleted")
var id: Int = jResp.IntOf("id").intValue
var message: String? = jResp.StringOf("message")
var modified: String? = jResp.StringOf("modified")
var multi: Bool = jResp.BoolOf("multi")
var name: String? = jResp.StringOf("name")
var Group_by: String? = jResp.StringOf("options.aggregation.group_by")
var Metric: String? = jResp.StringOf("options.aggregation.metric")
var v_Type: String? = jResp.StringOf("options.aggregation.type")
var Enable_logs_sample: Bool = jResp.BoolOf("options.enable_logs_sample")
var Enable_samples: Bool = jResp.BoolOf("options.enable_samples")
var Escalation_message: String? = jResp.StringOf("options.escalation_message")
var Evaluation_delay: Int = jResp.IntOf("options.evaluation_delay").intValue
var Group_retention_duration: String? = jResp.StringOf("options.group_retention_duration")
var Groupby_simple_monitor: Bool = jResp.BoolOf("options.groupby_simple_monitor")
var Include_tags: Bool = jResp.BoolOf("options.include_tags")
var Locked: Bool = jResp.BoolOf("options.locked")
var Min_failure_duration: Int = jResp.IntOf("options.min_failure_duration").intValue
var Min_location_failed: Int = jResp.IntOf("options.min_location_failed").intValue
var New_group_delay: Int = jResp.IntOf("options.new_group_delay").intValue
var New_host_delay: Int = jResp.IntOf("options.new_host_delay").intValue
var No_data_timeframe: Int = jResp.IntOf("options.no_data_timeframe").intValue
var Notification_preset_name: String? = jResp.StringOf("options.notification_preset_name")
var Notify_audit: Bool = jResp.BoolOf("options.notify_audit")
var Notify_no_data: Bool = jResp.BoolOf("options.notify_no_data")
var On_missing_data: String? = jResp.StringOf("options.on_missing_data")
var Renotify_interval: String? = jResp.StringOf("options.renotify_interval")
var Renotify_occurrences: Int = jResp.IntOf("options.renotify_occurrences").intValue
var Require_full_window: Bool = jResp.BoolOf("options.require_full_window")
var Day_starts: String? = jResp.StringOf("options.scheduling_options.evaluation_window.day_starts")
var Hour_starts: Int = jResp.IntOf("options.scheduling_options.evaluation_window.hour_starts").intValue
var Month_starts: Int = jResp.IntOf("options.scheduling_options.evaluation_window.month_starts").intValue
var Non_6f_: Int = jResp.IntOf("options.silenced.non_6f_").intValue
var Synthetics_check_id: String? = jResp.StringOf("options.synthetics_check_id")
var Recovery_window: String? = jResp.StringOf("options.threshold_windows.recovery_window")
var Trigger_window: String? = jResp.StringOf("options.threshold_windows.trigger_window")
var Critical: String? = jResp.StringOf("options.thresholds.critical")
var Critical_recovery: String? = jResp.StringOf("options.thresholds.critical_recovery")
var Ok: String? = jResp.StringOf("options.thresholds.ok")
var Unknown: String? = jResp.StringOf("options.thresholds.unknown")
var Warning: String? = jResp.StringOf("options.thresholds.warning")
var Warning_recovery: String? = jResp.StringOf("options.thresholds.warning_recovery")
var Timeout_h: String? = jResp.StringOf("options.timeout_h")
var overall_state: String? = jResp.StringOf("overall_state")
var priority: Int = jResp.IntOf("priority").intValue
var Last_nodata_ts: Int = jResp.IntOf("state.groups.Lorem_1.last_nodata_ts").intValue
var Last_notified_ts: Int = jResp.IntOf("state.groups.Lorem_1.last_notified_ts").intValue
var Last_resolved_ts: Int = jResp.IntOf("state.groups.Lorem_1.last_resolved_ts").intValue
var Last_triggered_ts: Int = jResp.IntOf("state.groups.Lorem_1.last_triggered_ts").intValue
var Lorem_1Name: String? = jResp.StringOf("state.groups.Lorem_1.name")
var Status: String? = jResp.StringOf("state.groups.Lorem_1.status")
var Nisi_c43Last_nodata_ts: Int = jResp.IntOf("state.groups.nisi_c43.last_nodata_ts").intValue
var Nisi_c43Last_notified_ts: Int = jResp.IntOf("state.groups.nisi_c43.last_notified_ts").intValue
var Nisi_c43Last_resolved_ts: Int = jResp.IntOf("state.groups.nisi_c43.last_resolved_ts").intValue
var Nisi_c43Last_triggered_ts: Int = jResp.IntOf("state.groups.nisi_c43.last_triggered_ts").intValue
var Nisi_c43Name: String? = jResp.StringOf("state.groups.nisi_c43.name")
var Nisi_c43Status: String? = jResp.StringOf("state.groups.nisi_c43.status")
var Minim_cLast_nodata_ts: Int = jResp.IntOf("state.groups.minim_c.last_nodata_ts").intValue
var Minim_cLast_notified_ts: Int = jResp.IntOf("state.groups.minim_c.last_notified_ts").intValue
var Minim_cLast_resolved_ts: Int = jResp.IntOf("state.groups.minim_c.last_resolved_ts").intValue
var Minim_cLast_triggered_ts: Int = jResp.IntOf("state.groups.minim_c.last_triggered_ts").intValue
var Minim_cName: String? = jResp.StringOf("state.groups.minim_c.name")
var Minim_cStatus: String? = jResp.StringOf("state.groups.minim_c.status")
var i: Int = 0
var count_i: Int = jResp.SizeOfArray("matching_downtimes").intValue
while i < count_i {
jResp.I = i
id = jResp.IntOf("matching_downtimes[i].id").intValue
v_end = jResp.IntOf("matching_downtimes[i].end").intValue
start = jResp.IntOf("matching_downtimes[i].start").intValue
j = 0
count_j = jResp.SizeOfArray("matching_downtimes[i].scope").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("matching_downtimes[i].scope[j]")
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("options.device_ids").intValue
while i < count_i {
jResp.I = i
strVal = jResp.StringOf("options.device_ids[i]")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("options.notify_by").intValue
while i < count_i {
jResp.I = i
strVal = jResp.StringOf("options.notify_by[i]")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("options.renotify_statuses").intValue
while i < count_i {
jResp.I = i
strVal = jResp.StringOf("options.renotify_statuses[i]")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("options.variables").intValue
while i < count_i {
jResp.I = i
data_source = jResp.StringOf("options.variables[i].data_source")
Aggregation = jResp.StringOf("options.variables[i].compute.aggregation")
Interval = jResp.IntOf("options.variables[i].compute.interval").intValue
computeMetric = jResp.StringOf("options.variables[i].compute.metric")
name = jResp.StringOf("options.variables[i].name")
Query = jResp.StringOf("options.variables[i].search.query")
j = 0
count_j = jResp.SizeOfArray("options.variables[i].group_by").intValue
while j < count_j {
jResp.J = j
facet = jResp.StringOf("options.variables[i].group_by[j].facet")
limit = jResp.IntOf("options.variables[i].group_by[j].limit").intValue
sortAggregation = jResp.StringOf("options.variables[i].group_by[j].sort.aggregation")
sortMetric = jResp.StringOf("options.variables[i].group_by[j].sort.metric")
Order = jResp.StringOf("options.variables[i].group_by[j].sort.order")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("options.variables[i].indexes").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("options.variables[i].indexes[j]")
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("restricted_roles").intValue
while i < count_i {
jResp.I = i
strVal = jResp.StringOf("restricted_roles[i]")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("tags").intValue
while i < count_i {
jResp.I = i
strVal = jResp.StringOf("tags[i]")
i = i + 1
}
}
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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