Back to Collection Items
var
begin
CkJsonObject_UpdateString(json,'message','You may need to add web hosts if this is consistently high.');CkJsonObject_UpdateString(json,'name','Bytes received on host0');CkJsonObject_UpdateInt(json,'options.no_data_timeframe',20);CkJsonObject_UpdateBool(json,'options.notify_no_data',True);CkJsonObject_UpdateString(json,'query','avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100');CkJsonObject_UpdateString(json,'tags[0]','app:webserver');CkJsonObject_UpdateString(json,'tags[1]','frontend');CkJsonObject_UpdateString(json,'type','query alert');CkHttpResponse_GetBodySb(resp,sbResponseBody);CkJsonObject_LoadSb(jResp,sbResponseBody);CkJsonObject_putEmitCompact(jResp,False);CkJsonObject_putI(jResp,i);id := CkJsonObject_IntOf(jResp,'matching_downtimes[i].id');v_end := CkJsonObject_IntOf(jResp,'matching_downtimes[i].end');start := CkJsonObject_IntOf(jResp,'matching_downtimes[i].start');j := 0;count_j := CkJsonObject_SizeOfArray(jResp,'matching_downtimes[i].scope');CkJsonObject_putJ(jResp,j);strVal := CkJsonObject__stringOf(jResp,'matching_downtimes[i].scope[j]');j := j + 1;i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'options.device_ids');CkJsonObject_putI(jResp,i);strVal := CkJsonObject__stringOf(jResp,'options.device_ids[i]');i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'options.notify_by');CkJsonObject_putI(jResp,i);strVal := CkJsonObject__stringOf(jResp,'options.notify_by[i]');i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'options.renotify_statuses');CkJsonObject_putI(jResp,i);strVal := CkJsonObject__stringOf(jResp,'options.renotify_statuses[i]');i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'options.variables');CkJsonObject_putI(jResp,i);data_source := CkJsonObject__stringOf(jResp,'options.variables[i].data_source');Aggregation := CkJsonObject__stringOf(jResp,'options.variables[i].compute.aggregation');Interval := CkJsonObject_IntOf(jResp,'options.variables[i].compute.interval');computeMetric := CkJsonObject__stringOf(jResp,'options.variables[i].compute.metric');name := CkJsonObject__stringOf(jResp,'options.variables[i].name');Query := CkJsonObject__stringOf(jResp,'options.variables[i].search.query');j := 0;count_j := CkJsonObject_SizeOfArray(jResp,'options.variables[i].group_by');CkJsonObject_putJ(jResp,j);facet := CkJsonObject__stringOf(jResp,'options.variables[i].group_by[j].facet');limit := CkJsonObject_IntOf(jResp,'options.variables[i].group_by[j].limit');sortAggregation := CkJsonObject__stringOf(jResp,'options.variables[i].group_by[j].sort.aggregation');sortMetric := CkJsonObject__stringOf(jResp,'options.variables[i].group_by[j].sort.metric');Order := CkJsonObject__stringOf(jResp,'options.variables[i].group_by[j].sort.order');j := j + 1;j := 0;count_j := CkJsonObject_SizeOfArray(jResp,'options.variables[i].indexes');CkJsonObject_putJ(jResp,j);strVal := CkJsonObject__stringOf(jResp,'options.variables[i].indexes[j]');j := j + 1;i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'restricted_roles');CkJsonObject_putI(jResp,i);strVal := CkJsonObject__stringOf(jResp,'restricted_roles[i]');i := i + 1;i := 0;count_i := CkJsonObject_SizeOfArray(jResp,'tags');CkJsonObject_putI(jResp,i);strVal := CkJsonObject__stringOf(jResp,'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}"
}
]
}