Add audit alert monitor type

.apigentools-info

@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.4.1.dev11",
-            "regenerated": "2021-08-20 13:37:00.863666",
-            "spec_repo_commit": "4f0cc56"
+            "regenerated": "2021-08-20 19:30:07.379830",
+            "spec_repo_commit": "96bac9a"
         },
         "v2": {
             "apigentools_version": "1.4.1.dev11",
-            "regenerated": "2021-08-20 13:38:22.750884",
-            "spec_repo_commit": "4f0cc56"
+            "regenerated": "2021-08-20 19:31:36.451674",
+            "spec_repo_commit": "96bac9a"
         }
     }
 }

docs/v1/MonitorsApi.md

@@ -101,6 +101,7 @@ The type of monitor chosen from:
 - SLO: `slo alert`
 - watchdog: `event alert`
 - event-v2: `event-v2 alert`
+- audit: `audit alert`
 
 #### Query Types
 
@@ -210,6 +211,19 @@ Example: `error_budget("slo_id").over("time_window") operator #`
 - **`time_window`**: The time window of the SLO target you wish to alert on. Valid options: `7d`, `30d`, `90d`.
 - **`operator`**: `>=` or `>`
 
+**Audit Alert Query**
+
+Example: `audits(query).rollup(rollup_method[, measure]).last(time_window) operator #`
+
+- **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).
+- **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`.
+- **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.
+- **`time_window`** #m (between 1 and 2880), #h (between 1 and 48).
+- **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`.
+- **`#`** an integer or decimal number used to set the threshold.
+
+**NOTE** Only available on US1-FED and in closed beta on EU, US3, and US1.
+
 ### Example
 
 

packages/datadog-api-client-v1/apis/MonitorsApi.ts

@@ -76,7 +76,7 @@ export class MonitorsApiRequestFactory extends BaseAPIRequestFactory {
   }
 
   /**
-   * Create a monitor using the specified options.  #### Monitor Types  The type of monitor chosen from:  - anomaly: `query alert` - APM: `query alert` or `trace-analytics alert` - composite: `composite` - custom: `service check` - event: `event alert` - forecast: `query alert` - host: `service check` - integration: `query alert` or `service check` - live process: `process alert` - logs: `log alert` - metric: `metric alert` - network: `service check` - outlier: `query alert` - process: `service check` - rum: `rum alert` - SLO: `slo alert` - watchdog: `event alert` - event-v2: `event-v2 alert`  #### Query Types  **Metric Alert Query**  Example: `time_aggr(time_window):space_aggr:metric{tags} [by {key}] operator #`  - `time_aggr`: avg, sum, max, min, change, or pct_change - `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` - `space_aggr`: avg, sum, min, or max - `tags`: one or more tags (comma-separated), or * - `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert) - `operator`: <, <=, >, >=, ==, or != - `#`: an integer or decimal number used to set the threshold  If you are using the `_change_` or `_pct_change_` time aggregator, instead use `change_aggr(time_aggr(time_window), timeshift):space_aggr:metric{tags} [by {key}] operator #` with:  - `change_aggr` change, pct_change - `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/monitor_types/#define-the-conditions) - `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) - `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago  Use this to create an outlier monitor using the following query: `avg(last_30m):outliers(avg:system.cpu.user{role:es-events-data} by {host}, 'dbscan', 7) > 0`  **Service Check Query**  Example: `\"check\".over(tags).last(count).by(group).count_by_status()`  - **`check`** name of the check, e.g. `datadog.agent.up` - **`tags`** one or more quoted tags (comma-separated), or \"*\". e.g.: `.over(\"env:prod\", \"role:db\")`; **`over`** cannot be blank. - **`count`** must be at greater than or equal to your max threshold (defined in the `options`). It is limited to 100. For example, if you've specified to notify on 1 critical, 3 ok, and 2 warn statuses, `count` should be at least 3. - **`group`** must be specified for check monitors. Per-check grouping is already explicitly known for some service checks. For 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.  **Event Alert Query**  Example: `events('sources:nagios status:error,warning priority:normal tags: \"string query\"').rollup(\"count\").last(\"1h\")\"`  - **`event`**, the event query string: - **`string_query`** free text query to match against event title and text. - **`sources`** event sources (comma-separated). - **`status`** event statuses (comma-separated). Valid options: error, warn, and info. - **`priority`** event priorities (comma-separated). Valid options: low, normal, all. - **`host`** event reporting host (comma-separated). - **`tags`** event tags (comma-separated). - **`excluded_tags`** excluded event tags (comma-separated). - **`rollup`** the stats roll-up method. `count` is the only supported method now. - **`last`** the timeframe to roll up the counts. Examples: 45m, 4h. Supported timeframes: m, h and d. This value should not exceed 48 hours.  **NOTE** Only available on US1 and EU.  **Event V2 Alert Query**  Example: `events(query).rollup(rollup_method[, measure]).last(time_window) operator #`  - **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/). - **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`. - **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use. - **`time_window`** #m (between 1 and 2880), #h (between 1 and 48). - **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`. - **`#`** an integer or decimal number used to set the threshold.  **NOTE** Only available on US1-FED, US3, and in closed beta on EU and US1.  **Process Alert Query**  Example: `processes(search).over(tags).rollup('count').last(timeframe) operator #`  - **`search`** free text search string for querying processes. Matching processes match results on the [Live Processes](https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows) page. - **`tags`** one or more tags (comma-separated) - **`timeframe`** the timeframe to roll up the counts. Examples: 10m, 4h. Supported timeframes: s, m, h and d - **`operator`** <, <=, >, >=, ==, or != - **`#`** an integer or decimal number used to set the threshold  **Logs Alert Query**  Example: `logs(query).index(index_name).rollup(rollup_method[, measure]).last(time_window) operator #`  - **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/). - **`index_name`** For multi-index organizations, the log index in which the request is performed. - **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`. - **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use. - **`time_window`** #m (between 1 and 2880), #h (between 1 and 48). - **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`. - **`#`** an integer or decimal number used to set the threshold.  **Composite Query**  Example: `12345 && 67890`, where `12345` and `67890` are the IDs of non-composite monitors  * **`name`** [*required*, *default* = **dynamic, based on query**]: The name of the alert. * **`message`** [*required*, *default* = **dynamic, based on query**]: A message to include with notifications for this monitor. Email notifications can be sent to specific users by using the same '@username' notation as events. * **`tags`** [*optional*, *default* = **empty list**]: A list of tags to associate with your monitor. When getting all monitor details via the API, use the `monitor_tags` argument to filter results by these tags. It is only available via the API and isn't visible or editable in the Datadog UI.  **SLO Alert Query**  Example: `error_budget(\"slo_id\").over(\"time_window\") operator #`  - **`slo_id`**: The alphanumeric SLO ID of the SLO you are configuring the alert for. - **`time_window`**: The time window of the SLO target you wish to alert on. Valid options: `7d`, `30d`, `90d`. - **`operator`**: `>=` or `>`
+   * Create a monitor using the specified options.  #### Monitor Types  The type of monitor chosen from:  - anomaly: `query alert` - APM: `query alert` or `trace-analytics alert` - composite: `composite` - custom: `service check` - event: `event alert` - forecast: `query alert` - host: `service check` - integration: `query alert` or `service check` - live process: `process alert` - logs: `log alert` - metric: `metric alert` - network: `service check` - outlier: `query alert` - process: `service check` - rum: `rum alert` - SLO: `slo alert` - watchdog: `event alert` - event-v2: `event-v2 alert` - audit: `audit alert`  #### Query Types  **Metric Alert Query**  Example: `time_aggr(time_window):space_aggr:metric{tags} [by {key}] operator #`  - `time_aggr`: avg, sum, max, min, change, or pct_change - `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` - `space_aggr`: avg, sum, min, or max - `tags`: one or more tags (comma-separated), or * - `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert) - `operator`: <, <=, >, >=, ==, or != - `#`: an integer or decimal number used to set the threshold  If you are using the `_change_` or `_pct_change_` time aggregator, instead use `change_aggr(time_aggr(time_window), timeshift):space_aggr:metric{tags} [by {key}] operator #` with:  - `change_aggr` change, pct_change - `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/monitor_types/#define-the-conditions) - `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) - `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago  Use this to create an outlier monitor using the following query: `avg(last_30m):outliers(avg:system.cpu.user{role:es-events-data} by {host}, 'dbscan', 7) > 0`  **Service Check Query**  Example: `\"check\".over(tags).last(count).by(group).count_by_status()`  - **`check`** name of the check, e.g. `datadog.agent.up` - **`tags`** one or more quoted tags (comma-separated), or \"*\". e.g.: `.over(\"env:prod\", \"role:db\")`; **`over`** cannot be blank. - **`count`** must be at greater than or equal to your max threshold (defined in the `options`). It is limited to 100. For example, if you've specified to notify on 1 critical, 3 ok, and 2 warn statuses, `count` should be at least 3. - **`group`** must be specified for check monitors. Per-check grouping is already explicitly known for some service checks. For 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.  **Event Alert Query**  Example: `events('sources:nagios status:error,warning priority:normal tags: \"string query\"').rollup(\"count\").last(\"1h\")\"`  - **`event`**, the event query string: - **`string_query`** free text query to match against event title and text. - **`sources`** event sources (comma-separated). - **`status`** event statuses (comma-separated). Valid options: error, warn, and info. - **`priority`** event priorities (comma-separated). Valid options: low, normal, all. - **`host`** event reporting host (comma-separated). - **`tags`** event tags (comma-separated). - **`excluded_tags`** excluded event tags (comma-separated). - **`rollup`** the stats roll-up method. `count` is the only supported method now. - **`last`** the timeframe to roll up the counts. Examples: 45m, 4h. Supported timeframes: m, h and d. This value should not exceed 48 hours.  **NOTE** Only available on US1 and EU.  **Event V2 Alert Query**  Example: `events(query).rollup(rollup_method[, measure]).last(time_window) operator #`  - **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/). - **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`. - **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use. - **`time_window`** #m (between 1 and 2880), #h (between 1 and 48). - **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`. - **`#`** an integer or decimal number used to set the threshold.  **NOTE** Only available on US1-FED, US3, and in closed beta on EU and US1.  **Process Alert Query**  Example: `processes(search).over(tags).rollup('count').last(timeframe) operator #`  - **`search`** free text search string for querying processes. Matching processes match results on the [Live Processes](https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows) page. - **`tags`** one or more tags (comma-separated) - **`timeframe`** the timeframe to roll up the counts. Examples: 10m, 4h. Supported timeframes: s, m, h and d - **`operator`** <, <=, >, >=, ==, or != - **`#`** an integer or decimal number used to set the threshold  **Logs Alert Query**  Example: `logs(query).index(index_name).rollup(rollup_method[, measure]).last(time_window) operator #`  - **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/). - **`index_name`** For multi-index organizations, the log index in which the request is performed. - **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`. - **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use. - **`time_window`** #m (between 1 and 2880), #h (between 1 and 48). - **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`. - **`#`** an integer or decimal number used to set the threshold.  **Composite Query**  Example: `12345 && 67890`, where `12345` and `67890` are the IDs of non-composite monitors  * **`name`** [*required*, *default* = **dynamic, based on query**]: The name of the alert. * **`message`** [*required*, *default* = **dynamic, based on query**]: A message to include with notifications for this monitor. Email notifications can be sent to specific users by using the same '@username' notation as events. * **`tags`** [*optional*, *default* = **empty list**]: A list of tags to associate with your monitor. When getting all monitor details via the API, use the `monitor_tags` argument to filter results by these tags. It is only available via the API and isn't visible or editable in the Datadog UI.  **SLO Alert Query**  Example: `error_budget(\"slo_id\").over(\"time_window\") operator #`  - **`slo_id`**: The alphanumeric SLO ID of the SLO you are configuring the alert for. - **`time_window`**: The time window of the SLO target you wish to alert on. Valid options: `7d`, `30d`, `90d`. - **`operator`**: `>=` or `>`  **Audit Alert Query**  Example: `audits(query).rollup(rollup_method[, measure]).last(time_window) operator #`  - **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/). - **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`. - **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use. - **`time_window`** #m (between 1 and 2880), #h (between 1 and 48). - **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`. - **`#`** an integer or decimal number used to set the threshold.  **NOTE** Only available on US1-FED and in closed beta on EU, US3, and US1.
    * Create a monitor
    * @param body Create a monitor request body.
    */

packages/datadog-api-client-v1/models/Monitor.ts

@@ -261,6 +261,7 @@ export class Monitor {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {
@@ -368,6 +369,7 @@ export class Monitor {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {

packages/datadog-api-client-v1/models/MonitorSearchResult.ts

@@ -204,6 +204,7 @@ export class MonitorSearchResult {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {
@@ -291,6 +292,7 @@ export class MonitorSearchResult {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {

packages/datadog-api-client-v1/models/MonitorType.ts

@@ -20,7 +20,8 @@ export type MonitorType =
   | typeof SYNTHETICS_ALERT
   | typeof TRACE_ANALYTICS_ALERT
   | typeof SLO_ALERT
-  | typeof EVENT_V2_ALERT;
+  | typeof EVENT_V2_ALERT
+  | typeof AUDIT_ALERT;
 export const COMPOSITE = "composite";
 export const EVENT_ALERT = "event alert";
 export const LOG_ALERT = "log alert";
@@ -33,3 +34,4 @@ export const SYNTHETICS_ALERT = "synthetics alert";
 export const TRACE_ANALYTICS_ALERT = "trace-analytics alert";
 export const SLO_ALERT = "slo alert";
 export const EVENT_V2_ALERT = "event-v2 alert";
+export const AUDIT_ALERT = "audit alert";

packages/datadog-api-client-v1/models/MonitorUpdateRequest.ts

@@ -251,6 +251,7 @@ export class MonitorUpdateRequest {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {
@@ -348,6 +349,7 @@ export class MonitorUpdateRequest {
         "trace-analytics alert",
         "slo alert",
         "event-v2 alert",
+        "audit alert",
         undefined,
       ].includes(data.type)
     ) {