---
# generated by https://github.com/hashicorp/terraform-plugin-docs
page_title: "awscc_ce_anomaly_monitor Resource - terraform-provider-awscc"
subcategory: ""
description: |-
  AWS Cost Anomaly Detection leverages advanced Machine Learning technologies to identify anomalous spend and root causes, so you can quickly take action. You can use Cost Anomaly Detection by creating monitor.
---

# awscc_ce_anomaly_monitor (Resource)

AWS Cost Anomaly Detection leverages advanced Machine Learning technologies to identify anomalous spend and root causes, so you can quickly take action. You can use Cost Anomaly Detection by creating monitor.



<!-- schema generated by tfplugindocs -->
## Schema

### Required

- `monitor_name` (String) The name of the monitor.
- `monitor_type` (String)

### Optional

- `monitor_dimension` (String) The dimensions to evaluate
- `monitor_specification` (String)
- `resource_tags` (Attributes List) Tags to assign to monitor. (see [below for nested schema](#nestedatt--resource_tags))

### Read-Only

- `creation_date` (String) The date when the monitor was created.
- `dimensional_value_count` (Number) The value for evaluated dimensions.
- `id` (String) Uniquely identifies the resource.
- `last_evaluated_date` (String) The date when the monitor last evaluated for anomalies.
- `last_updated_date` (String) The date when the monitor was last updated.
- `monitor_arn` (String) Monitor ARN

<a id="nestedatt--resource_tags"></a>
### Nested Schema for `resource_tags`

Optional:

- `key` (String) The key name for the tag.
- `value` (String) The value for the tag.

## Import

Import is supported using the following syntax:

```shell
$ terraform import awscc_ce_anomaly_monitor.example <resource ID>
```