Back to Collection Items
#import <CkoHttp.h>
#import <CkoJsonObject.h>
#import <CkoHttpResponse.h>
#import <CkoStringBuilder.h>
#import <NSString.h>
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkoHttp *http = [[CkoHttp alloc] init];
BOOL success;
// 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"
// }
CkoJsonObject *json = [[CkoJsonObject alloc] init];
[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: [NSNumber numberWithInt: 20]];
[json UpdateBool: @"options.notify_no_data" value: YES];
[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"];
CkoHttpResponse *resp = [http PostJson3: @"https://api.app.ddog-gov.com/api/v1/monitor" contentType: @"application/json" json: json];
if (http.LastMethodSuccess == NO) {
NSLog(@"%@",http.LastErrorText);
return;
}
CkoStringBuilder *sbResponseBody = [[CkoStringBuilder alloc] init];
[resp GetBodySb: sbResponseBody];
CkoJsonObject *jResp = [[CkoJsonObject alloc] init];
[jResp LoadSb: sbResponseBody];
jResp.EmitCompact = NO;
NSLog(@"%@",@"Response Body:");
NSLog(@"%@",[jResp Emit]);
int respStatusCode = [resp.StatusCode intValue];
NSLog(@"%@%d",@"Response Status Code = ",respStatusCode);
if (respStatusCode >= 400) {
NSLog(@"%@",@"Response Header:");
NSLog(@"%@",resp.Header);
NSLog(@"%@",@"Failed.");
return;
}
// 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
int v_end;
int start;
int j;
int count_j;
NSString *strVal = 0;
NSString *data_source = 0;
NSString *Aggregation = 0;
int Interval;
NSString *computeMetric = 0;
NSString *Query = 0;
NSString *facet = 0;
int limit;
NSString *sortAggregation = 0;
NSString *sortMetric = 0;
NSString *Order = 0;
NSString *v_type = [jResp StringOf: @"type"];
NSString *query = [jResp StringOf: @"query"];
NSString *created = [jResp StringOf: @"created"];
NSString *v_Email = [jResp StringOf: @"creator.email"];
NSString *Handle = [jResp StringOf: @"creator.handle"];
NSString *Name = [jResp StringOf: @"creator.name"];
NSString *deleted = [jResp StringOf: @"deleted"];
int id = [[jResp IntOf: @"id"] intValue];
NSString *message = [jResp StringOf: @"message"];
NSString *modified = [jResp StringOf: @"modified"];
BOOL multi = [jResp BoolOf: @"multi"];
NSString *name = [jResp StringOf: @"name"];
NSString *Group_by = [jResp StringOf: @"options.aggregation.group_by"];
NSString *Metric = [jResp StringOf: @"options.aggregation.metric"];
NSString *v_Type = [jResp StringOf: @"options.aggregation.type"];
BOOL Enable_logs_sample = [jResp BoolOf: @"options.enable_logs_sample"];
BOOL Enable_samples = [jResp BoolOf: @"options.enable_samples"];
NSString *Escalation_message = [jResp StringOf: @"options.escalation_message"];
int Evaluation_delay = [[jResp IntOf: @"options.evaluation_delay"] intValue];
NSString *Group_retention_duration = [jResp StringOf: @"options.group_retention_duration"];
BOOL Groupby_simple_monitor = [jResp BoolOf: @"options.groupby_simple_monitor"];
BOOL Include_tags = [jResp BoolOf: @"options.include_tags"];
BOOL Locked = [jResp BoolOf: @"options.locked"];
int Min_failure_duration = [[jResp IntOf: @"options.min_failure_duration"] intValue];
int Min_location_failed = [[jResp IntOf: @"options.min_location_failed"] intValue];
int New_group_delay = [[jResp IntOf: @"options.new_group_delay"] intValue];
int New_host_delay = [[jResp IntOf: @"options.new_host_delay"] intValue];
int No_data_timeframe = [[jResp IntOf: @"options.no_data_timeframe"] intValue];
NSString *Notification_preset_name = [jResp StringOf: @"options.notification_preset_name"];
BOOL Notify_audit = [jResp BoolOf: @"options.notify_audit"];
BOOL Notify_no_data = [jResp BoolOf: @"options.notify_no_data"];
NSString *On_missing_data = [jResp StringOf: @"options.on_missing_data"];
NSString *Renotify_interval = [jResp StringOf: @"options.renotify_interval"];
int Renotify_occurrences = [[jResp IntOf: @"options.renotify_occurrences"] intValue];
BOOL Require_full_window = [jResp BoolOf: @"options.require_full_window"];
NSString *Day_starts = [jResp StringOf: @"options.scheduling_options.evaluation_window.day_starts"];
int Hour_starts = [[jResp IntOf: @"options.scheduling_options.evaluation_window.hour_starts"] intValue];
int Month_starts = [[jResp IntOf: @"options.scheduling_options.evaluation_window.month_starts"] intValue];
int Non_6f_ = [[jResp IntOf: @"options.silenced.non_6f_"] intValue];
NSString *Synthetics_check_id = [jResp StringOf: @"options.synthetics_check_id"];
NSString *Recovery_window = [jResp StringOf: @"options.threshold_windows.recovery_window"];
NSString *Trigger_window = [jResp StringOf: @"options.threshold_windows.trigger_window"];
NSString *Critical = [jResp StringOf: @"options.thresholds.critical"];
NSString *Critical_recovery = [jResp StringOf: @"options.thresholds.critical_recovery"];
NSString *Ok = [jResp StringOf: @"options.thresholds.ok"];
NSString *Unknown = [jResp StringOf: @"options.thresholds.unknown"];
NSString *Warning = [jResp StringOf: @"options.thresholds.warning"];
NSString *Warning_recovery = [jResp StringOf: @"options.thresholds.warning_recovery"];
NSString *Timeout_h = [jResp StringOf: @"options.timeout_h"];
NSString *overall_state = [jResp StringOf: @"overall_state"];
int priority = [[jResp IntOf: @"priority"] intValue];
int Last_nodata_ts = [[jResp IntOf: @"state.groups.Lorem_1.last_nodata_ts"] intValue];
int Last_notified_ts = [[jResp IntOf: @"state.groups.Lorem_1.last_notified_ts"] intValue];
int Last_resolved_ts = [[jResp IntOf: @"state.groups.Lorem_1.last_resolved_ts"] intValue];
int Last_triggered_ts = [[jResp IntOf: @"state.groups.Lorem_1.last_triggered_ts"] intValue];
NSString *Lorem_1Name = [jResp StringOf: @"state.groups.Lorem_1.name"];
NSString *Status = [jResp StringOf: @"state.groups.Lorem_1.status"];
int Nisi_c43Last_nodata_ts = [[jResp IntOf: @"state.groups.nisi_c43.last_nodata_ts"] intValue];
int Nisi_c43Last_notified_ts = [[jResp IntOf: @"state.groups.nisi_c43.last_notified_ts"] intValue];
int Nisi_c43Last_resolved_ts = [[jResp IntOf: @"state.groups.nisi_c43.last_resolved_ts"] intValue];
int Nisi_c43Last_triggered_ts = [[jResp IntOf: @"state.groups.nisi_c43.last_triggered_ts"] intValue];
NSString *Nisi_c43Name = [jResp StringOf: @"state.groups.nisi_c43.name"];
NSString *Nisi_c43Status = [jResp StringOf: @"state.groups.nisi_c43.status"];
int Minim_cLast_nodata_ts = [[jResp IntOf: @"state.groups.minim_c.last_nodata_ts"] intValue];
int Minim_cLast_notified_ts = [[jResp IntOf: @"state.groups.minim_c.last_notified_ts"] intValue];
int Minim_cLast_resolved_ts = [[jResp IntOf: @"state.groups.minim_c.last_resolved_ts"] intValue];
int Minim_cLast_triggered_ts = [[jResp IntOf: @"state.groups.minim_c.last_triggered_ts"] intValue];
NSString *Minim_cName = [jResp StringOf: @"state.groups.minim_c.name"];
NSString *Minim_cStatus = [jResp StringOf: @"state.groups.minim_c.status"];
int i = 0;
int count_i = [[jResp SizeOfArray: @"matching_downtimes"] intValue];
while (i < count_i) {
jResp.I = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: 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 = [NSNumber numberWithInt: i];
strVal = [jResp StringOf: @"restricted_roles[i]"];
i = i + 1;
}
i = 0;
count_i = [[jResp SizeOfArray: @"tags"] intValue];
while (i < count_i) {
jResp.I = [NSNumber numberWithInt: 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. 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."
},
"response": [
{
"name": "OK",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"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"
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"type\": \"query alert\",\n \"query\": \"avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100\",\n \"created\": \"1989-12-01T14:28:43.831Z\",\n \"creator\": {\n \"email\": \"officia sunt\",\n \"handle\": \"pariatur\",\n \"name\": \"aute do\"\n },\n \"deleted\": \"2020-10-30T20:46:24.520Z\",\n \"id\": -50675854,\n \"matching_downtimes\": [\n {\n \"id\": 1625,\n \"end\": 1412792983,\n \"scope\": [\n \"env:staging\"\n ],\n \"start\": 1412792983\n },\n {\n \"id\": 1625,\n \"end\": 1412792983,\n \"scope\": [\n \"env:staging\"\n ],\n \"start\": 1412792983\n }\n ],\n \"message\": \"ullamco incididunt cupidatat\",\n \"modified\": \"1981-03-27T05:04:03.098Z\",\n \"multi\": false,\n \"name\": \"My monitor\",\n \"options\": {\n \"aggregation\": {\n \"group_by\": \"host\",\n \"metric\": \"metrics.name\",\n \"type\": \"count\"\n },\n \"device_ids\": [\n \"mobile_small\",\n \"chrome.tablet\"\n ],\n \"enable_logs_sample\": false,\n \"enable_samples\": false,\n \"escalation_message\": \"none\",\n \"evaluation_delay\": -52819274,\n \"group_retention_duration\": \"dolor Lorem qui\",\n \"groupby_simple_monitor\": false,\n \"include_tags\": true,\n \"locked\": false,\n \"min_failure_duration\": 0,\n \"min_location_failed\": 1,\n \"new_group_delay\": -94315945,\n \"new_host_delay\": 300,\n \"no_data_timeframe\": -86360342,\n \"notification_preset_name\": \"show_all\",\n \"notify_audit\": false,\n \"notify_by\": [\n \"labore dolore\",\n \"deserunt commodo consectetur\"\n ],\n \"notify_no_data\": false,\n \"on_missing_data\": \"resolve\",\n \"renotify_interval\": null,\n \"renotify_occurrences\": 56355858,\n \"renotify_statuses\": [\n \"warn\",\n \"no data\"\n ],\n \"require_full_window\": false,\n \"scheduling_options\": {\n \"evaluation_window\": {\n \"day_starts\": \"04:00\",\n \"hour_starts\": 0,\n \"month_starts\": 1\n }\n },\n \"silenced\": {\n \"non_6f_\": 77287100\n },\n \"synthetics_check_id\": \"culpa in laborum irure\",\n \"threshold_windows\": {\n \"recovery_window\": \"culpa cupidatat Lorem ut\",\n \"trigger_window\": \"fugiat officia mollit esse quis\"\n },\n \"thresholds\": {\n \"critical\": -44507487.0891542,\n \"critical_recovery\": 94365870.17342958,\n \"ok\": 26645340.31156695,\n \"unknown\": -32772943.396166816,\n \"warning\": 75330874.10211122,\n \"warning_recovery\": 30665996.226613894\n },\n \"timeout_h\": null,\n \"variables\": [\n {\n \"data_source\": \"rum\",\n \"compute\": {\n \"aggregation\": \"avg\",\n \"interval\": 60000,\n \"metric\": \"@duration\"\n },\n \"name\": \"query_errors\",\n \"group_by\": [\n {\n \"facet\": \"status\",\n \"limit\": 10,\n \"sort\": {\n \"aggregation\": \"avg\",\n \"metric\": \"minim tempor i\",\n \"order\": \"desc\"\n }\n },\n {\n \"facet\": \"status\",\n \"limit\": 10,\n \"sort\": {\n \"aggregation\": \"avg\",\n \"metric\": \"Ut fugiat officia\",\n \"order\": \"desc\"\n }\n }\n ],\n \"indexes\": [\n \"days-3\",\n \"days-7\"\n ],\n \"search\": {\n \"query\": \"service:query\"\n }\n },\n {\n \"data_source\": \"rum\",\n \"compute\": {\n \"aggregation\": \"avg\",\n \"interval\": 60000,\n \"metric\": \"@duration\"\n },\n \"name\": \"query_errors\",\n \"group_by\": [\n {\n \"facet\": \"status\",\n \"limit\": 10,\n \"sort\": {\n \"aggregation\": \"avg\",\n \"metric\": \"do velit\",\n \"order\": \"desc\"\n }\n },\n {\n \"facet\": \"status\",\n \"limit\": 10,\n \"sort\": {\n \"aggregation\": \"avg\",\n \"metric\": \"amet proident anim in\",\n \"order\": \"desc\"\n }\n }\n ],\n \"indexes\": [\n \"days-3\",\n \"days-7\"\n ],\n \"search\": {\n \"query\": \"service:query\"\n }\n }\n ]\n },\n \"overall_state\": \"Warn\",\n \"priority\": 1,\n \"restricted_roles\": [\n \"enim qui cillum est\",\n \"quis ut\"\n ],\n \"state\": {\n \"groups\": {\n \"Lorem_1\": {\n \"last_nodata_ts\": -12653992,\n \"last_notified_ts\": -66141067,\n \"last_resolved_ts\": 5643925,\n \"last_triggered_ts\": -6121593,\n \"name\": \"dolore nulla i\",\n \"status\": \"OK\"\n },\n \"nisi_c43\": {\n \"last_nodata_ts\": -66061060,\n \"last_notified_ts\": -86988012,\n \"last_resolved_ts\": -39919633,\n \"last_triggered_ts\": 13467862,\n \"name\": \"Ut fugiat eiusmod anim\",\n \"status\": \"Ignored\"\n },\n \"minim_c\": {\n \"last_nodata_ts\": 6509669,\n \"last_notified_ts\": 39348490,\n \"last_resolved_ts\": 13221088,\n \"last_triggered_ts\": 21889420,\n \"name\": \"in velit Duis\",\n \"status\": \"Alert\"\n }\n }\n },\n \"tags\": [\n \"ex tempor\",\n \"enim veniam dolore\"\n ]\n}"
},
{
"name": "Bad Request",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"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"
]
}
},
"status": "Bad Request",
"code": 400,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
"name": "Forbidden",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"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"
]
}
},
"status": "Forbidden",
"code": 403,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
"name": "Too many requests",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"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"
]
}
},
"status": "Too Many Requests",
"code": 429,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
}
]
}
