Terraform resource: aws cloudwatch metric alarm
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aws_cloudwatch_metric_alarm
Contents
Official example
resource "aws_cloudwatch_metric_alarm" "nlb_healthyhosts" {
alarm_name = "alarmname"
comparison_operator = "LessThanThreshold"
evaluation_periods = "1"
metric_name = "HealthyHostCount"
namespace = "AWS/NetworkELB"
period = "60"
statistic = "Average"
threshold = var.logstash_servers_count
alarm_description = "Number of healthy nodes in Target Group"
actions_enabled = "true"
alarm_actions = [aws_sns_topic.sns.arn]
ok_actions = [aws_sns_topic.sns.arn]
dimensions = {
TargetGroup = aws_lb_target_group.lb-tg.arn_suffix
LoadBalancer = aws_lb.lb.arn_suffix
}
}
Examples
resource "aws_cloudwatch_metric_alarm" "lb_targets_not_available" {
alarm_name = format("%s-%s", lower("${var.rds_name}"), "db-highCPUUtilization")
comparison_operator = "LessThanOrEqualToThreshold"
evaluation_periods = "2"
metric_name = "CPUUtilization"
namespace = "AWS/NetworkELB"
period = "30"
statistic = "SampleCount"
threshold = "0"
alarm_description = "No healthy target group available to LB listener"
dimensions = {
HealthyHostCount = aws_lb.your-load-balancer-name.id
}
}
AWS/RDS
resource "aws_cloudwatch_metric_alarm" "db_cpu_utilization_too_high" {
alarm_name = format("%s-%s", lower("${var.rds_name}"), "db-highCPUUtilization")
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "5"
metric_name = "CPUUtilization"
namespace = "AWS/RDS"
period = "120"
statistic = "Average"
threshold = "80"
alarm_description = "Average database CPU utilization is too high."
dimensions = {
DBInstanceIdentifier = aws_db_instance.rds_instance.id
}
}
resource "aws_cloudwatch_metric_alarm" "db_disk_queue_depth_too_high" {
alarm_name = format("%s-%s", lower("${var.rds_name}"), "db-highDiskQueueDepth")
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "2"
metric_name = "DiskQueueDepth"
namespace = "AWS/RDS"
period = "120"
statistic = "Average"
threshold = "10"
alarm_description = "Average database disk queue depth is too high, performance may be negatively impacted."
dimensions = {
DBInstanceIdentifier = aws_db_instance.rds_instance.id
}
}
resource "aws_cloudwatch_metric_alarm" "db_disk_free_storage_space_too_low" {
alarm_name = format("%s-%s", lower("${var.rds_name}"), "db-lowFreeStorageSpace")
comparison_operator = "LessThanThreshold"
evaluation_periods = "2"
metric_name = "FreeStorageSpace"
namespace = "AWS/RDS"
period = "120"
statistic = "Average"
threshold = "10"
alarm_description = "Average database free storage space is too low and may fill up soon."
dimensions = {
DBInstanceIdentifier = aws_db_instance.rds_instance.id
}
}
resource "aws_cloudwatch_metric_alarm" "db_memory_freeable_too_low" {
alarm_name = format("%s-%s", lower("${var.rds_name}"), "db-lowFreeableMemory")
comparison_operator = "LessThanThreshold"
evaluation_periods = "2"
metric_name = "FreeableMemory"
namespace = "AWS/RDS"
period = "120"
statistic = "Average"
threshold = "10"
alarm_description = "Average database freeable memory is too low, performance may be negatively impacted."
dimensions = {
DBInstanceIdentifier = aws_db_instance.rds_instance.id
}
}
ChatGPT examples for ALB (01/2023)
resource "aws_cloudwatch_metric_alarm" "elb_5xx_error_rate" {
alarm_name = "elb_5xx_error_rate"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "5"
metric_name = "HTTPCode_Backend_5XX"
namespace = "AWS/ApplicationELB"
period = "60"
statistic = "SampleCount"
threshold = "1"
alarm_description = "This alarm will notify when the 5XX error rate is greater than 1% for 5 consecutive minutes"
alarm_actions = [aws_sns_topic.example.arn]
dimensions = {
LoadBalancer = aws_elbv2_load_balancer.example.name
}
}
resource "aws_cloudwatch_metric_alarm" "elb_response_time" {
alarm_name = "elb_response_time"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "5"
metric_name = "TargetResponseTime"
namespace = "AWS/ApplicationELB"
period = "60"
statistic = "Average"
threshold = "2"
alarm_description = "This alarm will notify when the average response time is greater than 2 seconds for 5 consecutive data points"
alarm_actions = [aws_sns_topic.example.arn]
dimensions = {
LoadBalancer = aws_elbv2_load_balancer.example.name
}
}
resource "aws_cloudwatch_metric_alarm" "elb_response_time" {
alarm_name = "elb_response_time"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "5"
metric_name = "TargetResponseTime"
namespace = "AWS/ApplicationELB"
period = "60"
statistic = "Maximum"
threshold = "1"
alarm_description = "This alarm will notify when the maximum response time is greater than 1 second for 5 consecutive data points"
alarm_actions = [aws_sns_topic.example.arn]
dimensions = {
LoadBalancer = aws_elbv2_load_balancer.example.name
}
}
resource "aws_cloudwatch_metric_alarm" "elb_response_time_90th_percentile" {
alarm_name = "elb_response_time_90th_percentile"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = "5"
metric_name = "TargetResponseTime"
namespace = "AWS/ApplicationELB"
period = "60"
statistic = "p90"
threshold = "1"
alarm_description = "This alarm will notify when the 90th percentile of the response time is greater than 1 second for 5 consecutive data points"
alarm_actions = [aws_sns_topic.example.arn]
dimensions = {
LoadBalancer = aws_elbv2_load_balancer.example.name
}
}
resource "aws_sns_topic" "example" { name = "example-topic" }
Related
See also
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