CLOUD AZURE DATALAKESTORE DataDog monitors
How to use this module
module "datadog-monitors-cloud-azure-datalakestore" {
source = "git::ssh://git@git.fr.clara.net/claranet/pt-monitoring/projects/datadog/terraform/monitors.git//cloud/azure/datalakestore?ref={revision}"
environment = "${var.environment}"
message = "${module.datadog-message-alerting.alerting-message}"
}
Purpose
Creates DataDog monitors with the following checks:
- Datalake Store is down
Inputs
| Name | Description | Type | Default | Required |
|---|---|---|---|---|
| environment | Architecture environment | string | n/a | yes |
| evaluation_delay | Delay in seconds for the metric evaluation | string | "900" |
no |
| filter_tags_custom | Tags used for custom filtering when filter_tags_use_defaults is false | string | "*" |
no |
| filter_tags_custom_excluded | Tags excluded for custom filtering when filter_tags_use_defaults is false | string | "" |
no |
| filter_tags_use_defaults | Use default filter tags convention | string | "true" |
no |
| message | Message sent when a monitor is triggered | string | n/a | yes |
| new_host_delay | Delay in seconds before monitor new resource | string | "300" |
no |
| prefix_slug | Prefix string to prepend between brackets on every monitors names | string | "" |
no |
| status_enabled | Flag to enable Datalake Store status monitor | string | "true" |
no |
| status_extra_tags | Extra tags for Datalake Store status [available values: last_#m (1, 5, 10, 15, or 30), last_#h (1, 2, or 4), or last_1d] |
list(string) | [] |
no |
| status_message | Custom message for Datalake Store status monitor | string | "" |
no |
| status_time_aggregator | Monitor aggregator for Datalake Store status [available values: min, max or avg] | string | "max" |
no |
| status_timeframe | Monitor timeframe for Datalake Store status [available values: last_#m (1, 5, 10, 15, or 30), last_#h (1, 2, or 4), or last_1d] |
string | "last_5m" |
no |
Outputs
| Name | Description |
|---|---|
| datalakestore_status_id | id for monitor datalakestore_status |
Related documentation
DataDog documentation : https://docs.datadoghq.com/integrations/azure/
You must search datalake, there is no integration for now.
Azure metrics documentation : https://docs.microsoft.com/fr-fr/azure/monitoring-and-diagnostics/monitoring-supported-metrics#microsoftdatalakestoreaccounts