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api-clients-generation-pipeline[bot]ci.datadog-api-spec
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Regenerate client from commit 0e7cbcd of spec repo (#597)
Co-authored-by: ci.datadog-api-spec <packages@datadoghq.com>
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.apigentools-info

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"spec_versions": {
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"v1": {
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"apigentools_version": "1.3.0",
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"regenerated": "2020-11-25 12:07:49.978408",
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"spec_repo_commit": "7f2258a"
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"regenerated": "2020-12-01 09:39:50.133921",
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"spec_repo_commit": "0e7cbcd"
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},
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"v2": {
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"apigentools_version": "1.3.0",
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"regenerated": "2020-11-25 12:07:55.811012",
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"spec_repo_commit": "7f2258a"
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"regenerated": "2020-12-01 09:39:56.250966",
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"spec_repo_commit": "0e7cbcd"
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}
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}
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}

api/v1/datadog/api/openapi.yaml

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Example: `time_aggr(time_window):space_aggr:metric{tags} [by {key}] operator #`
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- `time_aggr`: avg, sum, max, min, change, or pct_change
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- `time_window`: `last_#m` (with `#` being 5, 10, 15, or 30) or `last_#h`(with `#` being 1, 2, or 4), or `last_1d`
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- `time_window`: `last_#m` (with `#` between 1 and 2880 depending on the monitor type) or `last_#h`(with `#` between 1 and 48 depending on the monitor type), or `last_1d`
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- `space_aggr`: avg, sum, min, or max
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- `tags`: one or more tags (comma-separated), or *
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- `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert)
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- `change_aggr` change, pct_change
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- `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/monitor_types/#define-the-conditions)
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- `time_window` last\_#m (1, 5, 10, 15, or 30), last\_#h (1, 2, or 4), or last_#d (1 or 2)
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- `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)
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- `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago
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Use this to create an outlier monitor using the following query:
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- **`tags`** event tags (comma-separated).
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- **`excluded_tags`** excluded event tags (comma-separated).
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- **`rollup`** the stats roll-up method. `count` is the only supported method now.
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- **`last`** the timeframe to roll up the counts. Examples: 60s, 4h. Supported timeframes: s, m, h and d. This value should not exceed 48 hours.
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- **`last`** the timeframe to roll up the counts. Examples: 45m, 4h. Supported timeframes: m, h and d. This value should not exceed 48 hours.
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**Process Alert Query**
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- **`search`** free text search string for querying processes.
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Matching processes match results on the [Live Processes](https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows) page.
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- **`tags`** one or more tags (comma-separated)
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- **`timeframe`** the timeframe to roll up the counts. Examples: 60s, 4h. Supported timeframes: s, m, h and d
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- **`timeframe`** the timeframe to roll up the counts. Examples: 10m, 4h. Supported timeframes: s, m, h and d
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- **`operator`** <, <=, >, >=, ==, or !=
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- **`#`** an integer or decimal number used to set the threshold
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- **`index_name`** For multi-index organizations, the log index in which the request is performed.
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- **`rollup_method`** The stats roll-up method - supports `count`, `avg` and `cardinality`.
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- **`measure`** For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.
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- **`time_window`** #m (5, 10, 15, or 30), #h (1, 2, or 4, 24)
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- **`time_window`** #m (between 1 and 1440), #h (between 1 and 24)
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- **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`.
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- **`#`** an integer or decimal number used to set the threshold.
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api/v1/datadog/api_monitors.go

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