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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