Chilkat Online Tools

VB6 / Datadog API Collection / Create a monitor

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

Dim http As New ChilkatHttp
Dim success As Long

' 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"
' }

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

http.SetRequestHeader "Content-Type","application/json"
http.SetRequestHeader "Accept","application/json"

Dim resp As ChilkatHttpResponse
Set resp = http.PostJson3("https://api.app.ddog-gov.com/api/v1/monitor","application/json",json)
If (http.LastMethodSuccess = 0) Then
    Debug.Print http.LastErrorText
    Exit Sub
End If

Dim sbResponseBody As New ChilkatStringBuilder
success = resp.GetBodySb(sbResponseBody)

Dim jResp As New ChilkatJsonObject
success = jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = 0

Debug.Print "Response Body:"
Debug.Print jResp.Emit()

Dim respStatusCode As Long
respStatusCode = resp.StatusCode
Debug.Print "Response Status Code = " & respStatusCode
If (respStatusCode >= 400) Then
    Debug.Print "Response Header:"
    Debug.Print resp.Header
    Debug.Print "Failed."

    Exit Sub
End If

' 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

Dim v_end As Long
Dim start As Long
Dim j As Long
Dim count_j As Long
Dim strVal As String
Dim data_source As String
Dim Aggregation As String
Dim Interval As Long
Dim computeMetric As String
Dim Query As String
Dim facet As String
Dim limit As Long
Dim sortAggregation As String
Dim sortMetric As String
Dim Order As String

Dim v_type As String
v_type = jResp.StringOf("type")
Dim query As String
query = jResp.StringOf("query")
Dim created As String
created = jResp.StringOf("created")
Dim v_Email As String
v_Email = jResp.StringOf("creator.email")
Dim Handle As String
Handle = jResp.StringOf("creator.handle")
Dim Name As String
Name = jResp.StringOf("creator.name")
Dim deleted As String
deleted = jResp.StringOf("deleted")
Dim id As Long
id = jResp.IntOf("id")
Dim message As String
message = jResp.StringOf("message")
Dim modified As String
modified = jResp.StringOf("modified")
Dim multi As Long
multi = jResp.BoolOf("multi")
Dim name As String
name = jResp.StringOf("name")
Dim Group_by As String
Group_by = jResp.StringOf("options.aggregation.group_by")
Dim Metric As String
Metric = jResp.StringOf("options.aggregation.metric")
Dim v_Type As String
v_Type = jResp.StringOf("options.aggregation.type")
Dim Enable_logs_sample As Long
Enable_logs_sample = jResp.BoolOf("options.enable_logs_sample")
Dim Enable_samples As Long
Enable_samples = jResp.BoolOf("options.enable_samples")
Dim Escalation_message As String
Escalation_message = jResp.StringOf("options.escalation_message")
Dim Evaluation_delay As Long
Evaluation_delay = jResp.IntOf("options.evaluation_delay")
Dim Group_retention_duration As String
Group_retention_duration = jResp.StringOf("options.group_retention_duration")
Dim Groupby_simple_monitor As Long
Groupby_simple_monitor = jResp.BoolOf("options.groupby_simple_monitor")
Dim Include_tags As Long
Include_tags = jResp.BoolOf("options.include_tags")
Dim Locked As Long
Locked = jResp.BoolOf("options.locked")
Dim Min_failure_duration As Long
Min_failure_duration = jResp.IntOf("options.min_failure_duration")
Dim Min_location_failed As Long
Min_location_failed = jResp.IntOf("options.min_location_failed")
Dim New_group_delay As Long
New_group_delay = jResp.IntOf("options.new_group_delay")
Dim New_host_delay As Long
New_host_delay = jResp.IntOf("options.new_host_delay")
Dim No_data_timeframe As Long
No_data_timeframe = jResp.IntOf("options.no_data_timeframe")
Dim Notification_preset_name As String
Notification_preset_name = jResp.StringOf("options.notification_preset_name")
Dim Notify_audit As Long
Notify_audit = jResp.BoolOf("options.notify_audit")
Dim Notify_no_data As Long
Notify_no_data = jResp.BoolOf("options.notify_no_data")
Dim On_missing_data As String
On_missing_data = jResp.StringOf("options.on_missing_data")
Dim Renotify_interval As String
Renotify_interval = jResp.StringOf("options.renotify_interval")
Dim Renotify_occurrences As Long
Renotify_occurrences = jResp.IntOf("options.renotify_occurrences")
Dim Require_full_window As Long
Require_full_window = jResp.BoolOf("options.require_full_window")
Dim Day_starts As String
Day_starts = jResp.StringOf("options.scheduling_options.evaluation_window.day_starts")
Dim Hour_starts As Long
Hour_starts = jResp.IntOf("options.scheduling_options.evaluation_window.hour_starts")
Dim Month_starts As Long
Month_starts = jResp.IntOf("options.scheduling_options.evaluation_window.month_starts")
Dim Non_6f_ As Long
Non_6f_ = jResp.IntOf("options.silenced.non_6f_")
Dim Synthetics_check_id As String
Synthetics_check_id = jResp.StringOf("options.synthetics_check_id")
Dim Recovery_window As String
Recovery_window = jResp.StringOf("options.threshold_windows.recovery_window")
Dim Trigger_window As String
Trigger_window = jResp.StringOf("options.threshold_windows.trigger_window")
Dim Critical As String
Critical = jResp.StringOf("options.thresholds.critical")
Dim Critical_recovery As String
Critical_recovery = jResp.StringOf("options.thresholds.critical_recovery")
Dim Ok As String
Ok = jResp.StringOf("options.thresholds.ok")
Dim Unknown As String
Unknown = jResp.StringOf("options.thresholds.unknown")
Dim Warning As String
Warning = jResp.StringOf("options.thresholds.warning")
Dim Warning_recovery As String
Warning_recovery = jResp.StringOf("options.thresholds.warning_recovery")
Dim Timeout_h As String
Timeout_h = jResp.StringOf("options.timeout_h")
Dim overall_state As String
overall_state = jResp.StringOf("overall_state")
Dim priority As Long
priority = jResp.IntOf("priority")
Dim Last_nodata_ts As Long
Last_nodata_ts = jResp.IntOf("state.groups.Lorem_1.last_nodata_ts")
Dim Last_notified_ts As Long
Last_notified_ts = jResp.IntOf("state.groups.Lorem_1.last_notified_ts")
Dim Last_resolved_ts As Long
Last_resolved_ts = jResp.IntOf("state.groups.Lorem_1.last_resolved_ts")
Dim Last_triggered_ts As Long
Last_triggered_ts = jResp.IntOf("state.groups.Lorem_1.last_triggered_ts")
Dim Lorem_1Name As String
Lorem_1Name = jResp.StringOf("state.groups.Lorem_1.name")
Dim Status As String
Status = jResp.StringOf("state.groups.Lorem_1.status")
Dim Nisi_c43Last_nodata_ts As Long
Nisi_c43Last_nodata_ts = jResp.IntOf("state.groups.nisi_c43.last_nodata_ts")
Dim Nisi_c43Last_notified_ts As Long
Nisi_c43Last_notified_ts = jResp.IntOf("state.groups.nisi_c43.last_notified_ts")
Dim Nisi_c43Last_resolved_ts As Long
Nisi_c43Last_resolved_ts = jResp.IntOf("state.groups.nisi_c43.last_resolved_ts")
Dim Nisi_c43Last_triggered_ts As Long
Nisi_c43Last_triggered_ts = jResp.IntOf("state.groups.nisi_c43.last_triggered_ts")
Dim Nisi_c43Name As String
Nisi_c43Name = jResp.StringOf("state.groups.nisi_c43.name")
Dim Nisi_c43Status As String
Nisi_c43Status = jResp.StringOf("state.groups.nisi_c43.status")
Dim Minim_cLast_nodata_ts As Long
Minim_cLast_nodata_ts = jResp.IntOf("state.groups.minim_c.last_nodata_ts")
Dim Minim_cLast_notified_ts As Long
Minim_cLast_notified_ts = jResp.IntOf("state.groups.minim_c.last_notified_ts")
Dim Minim_cLast_resolved_ts As Long
Minim_cLast_resolved_ts = jResp.IntOf("state.groups.minim_c.last_resolved_ts")
Dim Minim_cLast_triggered_ts As Long
Minim_cLast_triggered_ts = jResp.IntOf("state.groups.minim_c.last_triggered_ts")
Dim Minim_cName As String
Minim_cName = jResp.StringOf("state.groups.minim_c.name")
Dim Minim_cStatus As String
Minim_cStatus = jResp.StringOf("state.groups.minim_c.status")
Dim i As Long
i = 0
Dim count_i As Long
count_i = jResp.SizeOfArray("matching_downtimes")
Do While i < count_i
    jResp.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")
    Do While j < count_j
        jResp.J = j
        strVal = jResp.StringOf("matching_downtimes[i].scope[j]")
        j = j + 1
    Loop
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("options.device_ids")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("options.device_ids[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("options.notify_by")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("options.notify_by[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("options.renotify_statuses")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("options.renotify_statuses[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("options.variables")
Do While i < count_i
    jResp.I = i
    data_source = jResp.StringOf("options.variables[i].data_source")
    Aggregation = jResp.StringOf("options.variables[i].compute.aggregation")
    Interval = jResp.IntOf("options.variables[i].compute.interval")
    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")
    Do While j < count_j
        jResp.J = j
        facet = jResp.StringOf("options.variables[i].group_by[j].facet")
        limit = jResp.IntOf("options.variables[i].group_by[j].limit")
        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
    Loop
    j = 0
    count_j = jResp.SizeOfArray("options.variables[i].indexes")
    Do While j < count_j
        jResp.J = j
        strVal = jResp.StringOf("options.variables[i].indexes[j]")
        j = j + 1
    Loop
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("restricted_roles")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("restricted_roles[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("tags")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("tags[i]")
    i = i + 1
Loop

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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