Chilkat Online Tools

PowerBuilder / Datadog API Collection / Create a monitor

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integer li_rc
oleobject loo_Http
integer li_Success
oleobject loo_Json
oleobject loo_Resp
oleobject loo_SbResponseBody
oleobject loo_JResp
integer li_RespStatusCode
integer li_V_end
integer li_Start
integer j
integer li_Count_j
string ls_StrVal
string ls_Data_source
string ls_Aggregation
integer li_Interval
string ls_ComputeMetric
string ls_Query
string ls_Facet
integer li_Limit
string ls_SortAggregation
string ls_SortMetric
string ls_Order
string ls_V_type
string ls_Query
string ls_Created
string ls_V_Email
string ls_Handle
string ls_Name
string ls_Deleted
integer li_Id
string ls_Message
string ls_Modified
integer li_Multi
string ls_Name
string ls_Group_by
string ls_Metric
string ls_V_Type
integer li_Enable_logs_sample
integer li_Enable_samples
string ls_Escalation_message
integer li_Evaluation_delay
string ls_Group_retention_duration
integer li_Groupby_simple_monitor
integer li_Include_tags
integer li_Locked
integer li_Min_failure_duration
integer li_Min_location_failed
integer li_New_group_delay
integer li_New_host_delay
integer li_No_data_timeframe
string ls_Notification_preset_name
integer li_Notify_audit
integer li_Notify_no_data
string ls_On_missing_data
string ls_Renotify_interval
integer li_Renotify_occurrences
integer li_Require_full_window
string ls_Day_starts
integer li_Hour_starts
integer li_Month_starts
integer li_Non_6f_
string ls_Synthetics_check_id
string ls_Recovery_window
string ls_Trigger_window
string ls_Critical
string ls_Critical_recovery
string ls_Ok
string ls_Unknown
string ls_Warning
string ls_Warning_recovery
string ls_Timeout_h
string ls_Overall_state
integer li_Priority
integer li_Last_nodata_ts
integer li_Last_notified_ts
integer li_Last_resolved_ts
integer li_Last_triggered_ts
string ls_Lorem_1Name
string ls_Status
integer li_Nisi_c43Last_nodata_ts
integer li_Nisi_c43Last_notified_ts
integer li_Nisi_c43Last_resolved_ts
integer li_Nisi_c43Last_triggered_ts
string ls_Nisi_c43Name
string ls_Nisi_c43Status
integer li_Minim_cLast_nodata_ts
integer li_Minim_cLast_notified_ts
integer li_Minim_cLast_resolved_ts
integer li_Minim_cLast_triggered_ts
string ls_Minim_cName
string ls_Minim_cStatus
integer i
integer li_Count_i

// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

loo_Http = create oleobject
li_rc = loo_Http.ConnectToNewObject("Chilkat_9_5_0.Http")
if li_rc < 0 then
    destroy loo_Http
    MessageBox("Error","Connecting to COM object failed")
    return
end if

// 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"
// }

loo_Json = create oleobject
li_rc = loo_Json.ConnectToNewObject("Chilkat_9_5_0.JsonObject")

loo_Json.UpdateString("message","You may need to add web hosts if this is consistently high.")
loo_Json.UpdateString("name","Bytes received on host0")
loo_Json.UpdateInt("options.no_data_timeframe",20)
loo_Json.UpdateBool("options.notify_no_data",1)
loo_Json.UpdateString("query","avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100")
loo_Json.UpdateString("tags[0]","app:webserver")
loo_Json.UpdateString("tags[1]","frontend")
loo_Json.UpdateString("type","query alert")

loo_Http.SetRequestHeader("Content-Type","application/json")
loo_Http.SetRequestHeader("Accept","application/json")

loo_Resp = loo_Http.PostJson3("https://api.app.ddog-gov.com/api/v1/monitor","application/json",loo_Json)
if loo_Http.LastMethodSuccess = 0 then
    Write-Debug loo_Http.LastErrorText
    destroy loo_Http
    destroy loo_Json
    return
end if

loo_SbResponseBody = create oleobject
li_rc = loo_SbResponseBody.ConnectToNewObject("Chilkat_9_5_0.StringBuilder")

loo_Resp.GetBodySb(loo_SbResponseBody)

loo_JResp = create oleobject
li_rc = loo_JResp.ConnectToNewObject("Chilkat_9_5_0.JsonObject")

loo_JResp.LoadSb(loo_SbResponseBody)
loo_JResp.EmitCompact = 0

Write-Debug "Response Body:"
Write-Debug loo_JResp.Emit()

li_RespStatusCode = loo_Resp.StatusCode
Write-Debug "Response Status Code = " + string(li_RespStatusCode)
if li_RespStatusCode >= 400 then
    Write-Debug "Response Header:"
    Write-Debug loo_Resp.Header
    Write-Debug "Failed."
    destroy loo_Resp
    destroy loo_Http
    destroy loo_Json
    destroy loo_SbResponseBody
    destroy loo_JResp
    return
end if

destroy loo_Resp

// 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

ls_V_type = loo_JResp.StringOf("type")
ls_Query = loo_JResp.StringOf("query")
ls_Created = loo_JResp.StringOf("created")
ls_V_Email = loo_JResp.StringOf("creator.email")
ls_Handle = loo_JResp.StringOf("creator.handle")
ls_Name = loo_JResp.StringOf("creator.name")
ls_Deleted = loo_JResp.StringOf("deleted")
li_Id = loo_JResp.IntOf("id")
ls_Message = loo_JResp.StringOf("message")
ls_Modified = loo_JResp.StringOf("modified")
li_Multi = loo_JResp.BoolOf("multi")
ls_Name = loo_JResp.StringOf("name")
ls_Group_by = loo_JResp.StringOf("options.aggregation.group_by")
ls_Metric = loo_JResp.StringOf("options.aggregation.metric")
ls_V_Type = loo_JResp.StringOf("options.aggregation.type")
li_Enable_logs_sample = loo_JResp.BoolOf("options.enable_logs_sample")
li_Enable_samples = loo_JResp.BoolOf("options.enable_samples")
ls_Escalation_message = loo_JResp.StringOf("options.escalation_message")
li_Evaluation_delay = loo_JResp.IntOf("options.evaluation_delay")
ls_Group_retention_duration = loo_JResp.StringOf("options.group_retention_duration")
li_Groupby_simple_monitor = loo_JResp.BoolOf("options.groupby_simple_monitor")
li_Include_tags = loo_JResp.BoolOf("options.include_tags")
li_Locked = loo_JResp.BoolOf("options.locked")
li_Min_failure_duration = loo_JResp.IntOf("options.min_failure_duration")
li_Min_location_failed = loo_JResp.IntOf("options.min_location_failed")
li_New_group_delay = loo_JResp.IntOf("options.new_group_delay")
li_New_host_delay = loo_JResp.IntOf("options.new_host_delay")
li_No_data_timeframe = loo_JResp.IntOf("options.no_data_timeframe")
ls_Notification_preset_name = loo_JResp.StringOf("options.notification_preset_name")
li_Notify_audit = loo_JResp.BoolOf("options.notify_audit")
li_Notify_no_data = loo_JResp.BoolOf("options.notify_no_data")
ls_On_missing_data = loo_JResp.StringOf("options.on_missing_data")
ls_Renotify_interval = loo_JResp.StringOf("options.renotify_interval")
li_Renotify_occurrences = loo_JResp.IntOf("options.renotify_occurrences")
li_Require_full_window = loo_JResp.BoolOf("options.require_full_window")
ls_Day_starts = loo_JResp.StringOf("options.scheduling_options.evaluation_window.day_starts")
li_Hour_starts = loo_JResp.IntOf("options.scheduling_options.evaluation_window.hour_starts")
li_Month_starts = loo_JResp.IntOf("options.scheduling_options.evaluation_window.month_starts")
li_Non_6f_ = loo_JResp.IntOf("options.silenced.non_6f_")
ls_Synthetics_check_id = loo_JResp.StringOf("options.synthetics_check_id")
ls_Recovery_window = loo_JResp.StringOf("options.threshold_windows.recovery_window")
ls_Trigger_window = loo_JResp.StringOf("options.threshold_windows.trigger_window")
ls_Critical = loo_JResp.StringOf("options.thresholds.critical")
ls_Critical_recovery = loo_JResp.StringOf("options.thresholds.critical_recovery")
ls_Ok = loo_JResp.StringOf("options.thresholds.ok")
ls_Unknown = loo_JResp.StringOf("options.thresholds.unknown")
ls_Warning = loo_JResp.StringOf("options.thresholds.warning")
ls_Warning_recovery = loo_JResp.StringOf("options.thresholds.warning_recovery")
ls_Timeout_h = loo_JResp.StringOf("options.timeout_h")
ls_Overall_state = loo_JResp.StringOf("overall_state")
li_Priority = loo_JResp.IntOf("priority")
li_Last_nodata_ts = loo_JResp.IntOf("state.groups.Lorem_1.last_nodata_ts")
li_Last_notified_ts = loo_JResp.IntOf("state.groups.Lorem_1.last_notified_ts")
li_Last_resolved_ts = loo_JResp.IntOf("state.groups.Lorem_1.last_resolved_ts")
li_Last_triggered_ts = loo_JResp.IntOf("state.groups.Lorem_1.last_triggered_ts")
ls_Lorem_1Name = loo_JResp.StringOf("state.groups.Lorem_1.name")
ls_Status = loo_JResp.StringOf("state.groups.Lorem_1.status")
li_Nisi_c43Last_nodata_ts = loo_JResp.IntOf("state.groups.nisi_c43.last_nodata_ts")
li_Nisi_c43Last_notified_ts = loo_JResp.IntOf("state.groups.nisi_c43.last_notified_ts")
li_Nisi_c43Last_resolved_ts = loo_JResp.IntOf("state.groups.nisi_c43.last_resolved_ts")
li_Nisi_c43Last_triggered_ts = loo_JResp.IntOf("state.groups.nisi_c43.last_triggered_ts")
ls_Nisi_c43Name = loo_JResp.StringOf("state.groups.nisi_c43.name")
ls_Nisi_c43Status = loo_JResp.StringOf("state.groups.nisi_c43.status")
li_Minim_cLast_nodata_ts = loo_JResp.IntOf("state.groups.minim_c.last_nodata_ts")
li_Minim_cLast_notified_ts = loo_JResp.IntOf("state.groups.minim_c.last_notified_ts")
li_Minim_cLast_resolved_ts = loo_JResp.IntOf("state.groups.minim_c.last_resolved_ts")
li_Minim_cLast_triggered_ts = loo_JResp.IntOf("state.groups.minim_c.last_triggered_ts")
ls_Minim_cName = loo_JResp.StringOf("state.groups.minim_c.name")
ls_Minim_cStatus = loo_JResp.StringOf("state.groups.minim_c.status")
i = 0
li_Count_i = loo_JResp.SizeOfArray("matching_downtimes")
do while i < li_Count_i
    loo_JResp.I = i
    li_Id = loo_JResp.IntOf("matching_downtimes[i].id")
    li_V_end = loo_JResp.IntOf("matching_downtimes[i].end")
    li_Start = loo_JResp.IntOf("matching_downtimes[i].start")
    j = 0
    li_Count_j = loo_JResp.SizeOfArray("matching_downtimes[i].scope")
    do while j < li_Count_j
        loo_JResp.J = j
        ls_StrVal = loo_JResp.StringOf("matching_downtimes[i].scope[j]")
        j = j + 1
    loop
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("options.device_ids")
do while i < li_Count_i
    loo_JResp.I = i
    ls_StrVal = loo_JResp.StringOf("options.device_ids[i]")
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("options.notify_by")
do while i < li_Count_i
    loo_JResp.I = i
    ls_StrVal = loo_JResp.StringOf("options.notify_by[i]")
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("options.renotify_statuses")
do while i < li_Count_i
    loo_JResp.I = i
    ls_StrVal = loo_JResp.StringOf("options.renotify_statuses[i]")
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("options.variables")
do while i < li_Count_i
    loo_JResp.I = i
    ls_Data_source = loo_JResp.StringOf("options.variables[i].data_source")
    ls_Aggregation = loo_JResp.StringOf("options.variables[i].compute.aggregation")
    li_Interval = loo_JResp.IntOf("options.variables[i].compute.interval")
    ls_ComputeMetric = loo_JResp.StringOf("options.variables[i].compute.metric")
    ls_Name = loo_JResp.StringOf("options.variables[i].name")
    ls_Query = loo_JResp.StringOf("options.variables[i].search.query")
    j = 0
    li_Count_j = loo_JResp.SizeOfArray("options.variables[i].group_by")
    do while j < li_Count_j
        loo_JResp.J = j
        ls_Facet = loo_JResp.StringOf("options.variables[i].group_by[j].facet")
        li_Limit = loo_JResp.IntOf("options.variables[i].group_by[j].limit")
        ls_SortAggregation = loo_JResp.StringOf("options.variables[i].group_by[j].sort.aggregation")
        ls_SortMetric = loo_JResp.StringOf("options.variables[i].group_by[j].sort.metric")
        ls_Order = loo_JResp.StringOf("options.variables[i].group_by[j].sort.order")
        j = j + 1
    loop
    j = 0
    li_Count_j = loo_JResp.SizeOfArray("options.variables[i].indexes")
    do while j < li_Count_j
        loo_JResp.J = j
        ls_StrVal = loo_JResp.StringOf("options.variables[i].indexes[j]")
        j = j + 1
    loop
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("restricted_roles")
do while i < li_Count_i
    loo_JResp.I = i
    ls_StrVal = loo_JResp.StringOf("restricted_roles[i]")
    i = i + 1
loop
i = 0
li_Count_i = loo_JResp.SizeOfArray("tags")
do while i < li_Count_i
    loo_JResp.I = i
    ls_StrVal = loo_JResp.StringOf("tags[i]")
    i = i + 1
loop


destroy loo_Http
destroy loo_Json
destroy loo_SbResponseBody
destroy loo_JResp

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."
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