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use chilkat();
# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
$http = chilkat::CkHttp->new();
# 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"
# }
$json = chilkat::CkJsonObject->new();
$json->UpdateString("message","You may need to add web hosts if this is consistently high.");
$json->UpdateString("name","Bytes received on host0");
$json->UpdateInt("options.no_data_timeframe",20);
$json->UpdateBool("options.notify_no_data",1);
$json->UpdateString("query","avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100");
$json->UpdateString("tags[0]","app:webserver");
$json->UpdateString("tags[1]","frontend");
$json->UpdateString("type","query alert");
$http->SetRequestHeader("Content-Type","application/json");
$http->SetRequestHeader("Accept","application/json");
# resp is a HttpResponse
$resp = $http->PostJson3("https://api.app.ddog-gov.com/api/v1/monitor","application/json",$json);
if ($http->get_LastMethodSuccess() == 0) {
print $http->lastErrorText() . "\r\n";
exit;
}
$sbResponseBody = chilkat::CkStringBuilder->new();
$resp->GetBodySb($sbResponseBody);
$jResp = chilkat::CkJsonObject->new();
$jResp->LoadSb($sbResponseBody);
$jResp->put_EmitCompact(0);
print "Response Body:" . "\r\n";
print $jResp->emit() . "\r\n";
$respStatusCode = $resp->get_StatusCode();
print "Response Status Code = " . $respStatusCode . "\r\n";
if ($respStatusCode >= 400) {
print "Response Header:" . "\r\n";
print $resp->header() . "\r\n";
print "Failed." . "\r\n";
exit;
}
# 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
$v_type = $jResp->stringOf("type");
$query = $jResp->stringOf("query");
$created = $jResp->stringOf("created");
$v_Email = $jResp->stringOf("creator.email");
$Handle = $jResp->stringOf("creator.handle");
$Name = $jResp->stringOf("creator.name");
$deleted = $jResp->stringOf("deleted");
$id = $jResp->IntOf("id");
$message = $jResp->stringOf("message");
$modified = $jResp->stringOf("modified");
$multi = $jResp->BoolOf("multi");
$name = $jResp->stringOf("name");
$Group_by = $jResp->stringOf("options.aggregation.group_by");
$Metric = $jResp->stringOf("options.aggregation.metric");
$v_Type = $jResp->stringOf("options.aggregation.type");
$Enable_logs_sample = $jResp->BoolOf("options.enable_logs_sample");
$Enable_samples = $jResp->BoolOf("options.enable_samples");
$Escalation_message = $jResp->stringOf("options.escalation_message");
$Evaluation_delay = $jResp->IntOf("options.evaluation_delay");
$Group_retention_duration = $jResp->stringOf("options.group_retention_duration");
$Groupby_simple_monitor = $jResp->BoolOf("options.groupby_simple_monitor");
$Include_tags = $jResp->BoolOf("options.include_tags");
$Locked = $jResp->BoolOf("options.locked");
$Min_failure_duration = $jResp->IntOf("options.min_failure_duration");
$Min_location_failed = $jResp->IntOf("options.min_location_failed");
$New_group_delay = $jResp->IntOf("options.new_group_delay");
$New_host_delay = $jResp->IntOf("options.new_host_delay");
$No_data_timeframe = $jResp->IntOf("options.no_data_timeframe");
$Notification_preset_name = $jResp->stringOf("options.notification_preset_name");
$Notify_audit = $jResp->BoolOf("options.notify_audit");
$Notify_no_data = $jResp->BoolOf("options.notify_no_data");
$On_missing_data = $jResp->stringOf("options.on_missing_data");
$Renotify_interval = $jResp->stringOf("options.renotify_interval");
$Renotify_occurrences = $jResp->IntOf("options.renotify_occurrences");
$Require_full_window = $jResp->BoolOf("options.require_full_window");
$Day_starts = $jResp->stringOf("options.scheduling_options.evaluation_window.day_starts");
$Hour_starts = $jResp->IntOf("options.scheduling_options.evaluation_window.hour_starts");
$Month_starts = $jResp->IntOf("options.scheduling_options.evaluation_window.month_starts");
$Non_6f_ = $jResp->IntOf("options.silenced.non_6f_");
$Synthetics_check_id = $jResp->stringOf("options.synthetics_check_id");
$Recovery_window = $jResp->stringOf("options.threshold_windows.recovery_window");
$Trigger_window = $jResp->stringOf("options.threshold_windows.trigger_window");
$Critical = $jResp->stringOf("options.thresholds.critical");
$Critical_recovery = $jResp->stringOf("options.thresholds.critical_recovery");
$Ok = $jResp->stringOf("options.thresholds.ok");
$Unknown = $jResp->stringOf("options.thresholds.unknown");
$Warning = $jResp->stringOf("options.thresholds.warning");
$Warning_recovery = $jResp->stringOf("options.thresholds.warning_recovery");
$Timeout_h = $jResp->stringOf("options.timeout_h");
$overall_state = $jResp->stringOf("overall_state");
$priority = $jResp->IntOf("priority");
$Last_nodata_ts = $jResp->IntOf("state.groups.Lorem_1.last_nodata_ts");
$Last_notified_ts = $jResp->IntOf("state.groups.Lorem_1.last_notified_ts");
$Last_resolved_ts = $jResp->IntOf("state.groups.Lorem_1.last_resolved_ts");
$Last_triggered_ts = $jResp->IntOf("state.groups.Lorem_1.last_triggered_ts");
$Lorem_1Name = $jResp->stringOf("state.groups.Lorem_1.name");
$Status = $jResp->stringOf("state.groups.Lorem_1.status");
$Nisi_c43Last_nodata_ts = $jResp->IntOf("state.groups.nisi_c43.last_nodata_ts");
$Nisi_c43Last_notified_ts = $jResp->IntOf("state.groups.nisi_c43.last_notified_ts");
$Nisi_c43Last_resolved_ts = $jResp->IntOf("state.groups.nisi_c43.last_resolved_ts");
$Nisi_c43Last_triggered_ts = $jResp->IntOf("state.groups.nisi_c43.last_triggered_ts");
$Nisi_c43Name = $jResp->stringOf("state.groups.nisi_c43.name");
$Nisi_c43Status = $jResp->stringOf("state.groups.nisi_c43.status");
$Minim_cLast_nodata_ts = $jResp->IntOf("state.groups.minim_c.last_nodata_ts");
$Minim_cLast_notified_ts = $jResp->IntOf("state.groups.minim_c.last_notified_ts");
$Minim_cLast_resolved_ts = $jResp->IntOf("state.groups.minim_c.last_resolved_ts");
$Minim_cLast_triggered_ts = $jResp->IntOf("state.groups.minim_c.last_triggered_ts");
$Minim_cName = $jResp->stringOf("state.groups.minim_c.name");
$Minim_cStatus = $jResp->stringOf("state.groups.minim_c.status");
$i = 0;
$count_i = $jResp->SizeOfArray("matching_downtimes");
while ($i < $count_i) {
$jResp->put_I($i);
$id = $jResp->IntOf("matching_downtimes[i].id");
$v_end = $jResp->IntOf("matching_downtimes[i].end");
$start = $jResp->IntOf("matching_downtimes[i].start");
$j = 0;
$count_j = $jResp->SizeOfArray("matching_downtimes[i].scope");
while ($j < $count_j) {
$jResp->put_J($j);
$strVal = $jResp->stringOf("matching_downtimes[i].scope[j]");
$j = $j + 1;
}
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("options.device_ids");
while ($i < $count_i) {
$jResp->put_I($i);
$strVal = $jResp->stringOf("options.device_ids[i]");
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("options.notify_by");
while ($i < $count_i) {
$jResp->put_I($i);
$strVal = $jResp->stringOf("options.notify_by[i]");
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("options.renotify_statuses");
while ($i < $count_i) {
$jResp->put_I($i);
$strVal = $jResp->stringOf("options.renotify_statuses[i]");
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("options.variables");
while ($i < $count_i) {
$jResp->put_I($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");
$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 = $jResp->SizeOfArray("options.variables[i].group_by");
while ($j < $count_j) {
$jResp->put_J($j);
$facet = $jResp->stringOf("options.variables[i].group_by[j].facet");
$limit = $jResp->IntOf("options.variables[i].group_by[j].limit");
$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 = $jResp->SizeOfArray("options.variables[i].indexes");
while ($j < $count_j) {
$jResp->put_J($j);
$strVal = $jResp->stringOf("options.variables[i].indexes[j]");
$j = $j + 1;
}
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("restricted_roles");
while ($i < $count_i) {
$jResp->put_I($i);
$strVal = $jResp->stringOf("restricted_roles[i]");
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray("tags");
while ($i < $count_i) {
$jResp->put_I($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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