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cae319ee59
ML-powered anomaly detection using AWS Cost Explorer: - Flexible monitoring (service-level, account-level, or Cost Category) - Dual thresholds (percentage OR absolute impact) - Service-specific monitors with custom thresholds - SNS + direct email alerting - KMS encryption support Complements budget-alerts by catching spending anomalies that don't breach budget thresholds but deviate from patterns.
39 lines
1.2 KiB
HCL
39 lines
1.2 KiB
HCL
################################################################################
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# Outputs
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################################################################################
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output "monitor_arn" {
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description = "ARN of the main cost anomaly monitor"
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value = aws_ce_anomaly_monitor.main.arn
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}
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output "monitor_id" {
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description = "ID of the main cost anomaly monitor"
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value = aws_ce_anomaly_monitor.main.id
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}
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output "subscription_arn" {
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description = "ARN of the cost anomaly subscription"
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value = aws_ce_anomaly_subscription.main.arn
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}
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output "subscription_id" {
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description = "ID of the cost anomaly subscription"
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value = aws_ce_anomaly_subscription.main.id
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}
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output "sns_topic_arn" {
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description = "ARN of the SNS topic for anomaly alerts"
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value = aws_sns_topic.anomaly_alerts.arn
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}
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output "service_monitor_arns" {
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description = "Map of service-specific monitor ARNs"
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value = { for k, v in aws_ce_anomaly_monitor.service : k => v.arn }
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}
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output "service_subscription_arns" {
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description = "Map of service-specific subscription ARNs"
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value = { for k, v in aws_ce_anomaly_subscription.service : k => v.arn }
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}
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