如果平均性能超过5毫秒，我将尝试创建cloudwatch ALARM。我已经配置了Amazon CloudWatch警报来检查平均值。但是，如果只有一个数据点超出阈值，则警报将进入“警报”状态。
public static void main(String[] args) {
AWSExample aws = new AWSExample();
aws.testMethod();
}
这是testMethod。
public void testMethod() {
Instant start = Instant.now();
try {
try {
long myValue = (long) ((Math.random())*10000);
if(myValue>8000){
myValue = myValue - 3000;
}
Thread.sleep(myValue);
} catch(InterruptedException ex) {
Thread.currentThread().interrupt();
}
} catch (Throwable t) {
t.printStackTrace();
} finally {
Instant end = Instant.now();
Duration nano = Duration.between(start, end);
long endTime = nano.toMillis();
createMetricData(endTime);
createAnAlarm();
}
}
创建指标数据的方法
public void createMetricData(Long metricValue) {
final AmazonCloudWatch cw = getAmazonCloudWatch();
Dimension dimension = new Dimension().withName("UNIQUE_METHOD").withValue("testMethod");
MetricDatum datum = new MetricDatum()
.withMetricName("Method Execution Performance")
.withUnit(StandardUnit.Milliseconds).withValue(metricValue.doubleValue())
.withDimensions(dimension)
.withTimestamp(new Date());
PutMetricDataRequest metricDataRequest = new PutMetricDataRequest()
.withNamespace("METHOD/TRAFFIC").withMetricData(datum);
PutMetricDataResult response = cw.putMetricData(metricDataRequest);
System.out.println(response);
System.out.printf("Successfully put data point %f", metricValue.doubleValue());
}
这是创建警报的方法。
private void createAnAlarm(){
final AmazonCloudWatch cw = getAmazonCloudWatch();
PutMetricAlarmRequest putMetricAlarmRequest = new PutMetricAlarmRequest()
.withPeriod(120)// The period, in seconds, over which the specified statistic is applied. Valid values are 10, 30, and any multiple of 60.
.withMetricName("Method Execution Performance")// The name for // the metric // associated // with the // alarm.
.withNamespace("METHOD/TRAFFIC")// The namespace for the metric // associated with the alarm. // https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/aws-namespaces.html
.withAlarmName("aws-Method-Performance")// The name for the alarm. // This name must be unique // within the AWS account.
.withEvaluationPeriods(1)// The number of periods over which // data is compared to the specified // threshold. An alarm's total // current evaluation period can be // no longer than one day, so this
// number multiplied by period cannot be more than 86,400 seconds.
.withActionsEnabled(true)// Indicates whether actions should be executed during any changes to
// the alarm state.
.withStatistic(Statistic.Average)// The statistic for the metric associated with the alarm, other than percentile
.withThreshold(5.0)// The value against which the specified statistic is compared.
.withComparisonOperator(ComparisonOperator.GreaterThanThreshold)
.withAlarmDescription("Alarm when method execution time exceeds 5 milliseconds")
.withAlarmActions("arn:aws:sns:eu-west-1:***********")//The actions to
//execute when this alarm transitions to the ALARM state from
// any other state. Each action is specified as an Amazon
// Resource Name (ARN).
.withUnit(StandardUnit.Milliseconds)// The unit of measure for
// the statistic
.withDimensions(new Dimension().withName("UNIQUE_METHOD").withValue("testMethod"));
PutMetricAlarmResult result = cw.putMetricAlarm(putMetricAlarmRequest);
System.out.println(result);
}
我希望该方法的平均性能超过5毫秒。
这里有什么问题，我该如何解决？
最佳答案
那么问题是，如果只有一个数据点超过阈值，为什么警报会进入ALARM状态？这是因为在警报创建中有以下行：
.withEvaluationPeriods(1)
另外，每次发布数据点时，您都在呼叫
createAnAlarm();。无需这样做，您只需创建一次警报，它就会继续监视您的指标。如评论中所述，触发此警报的实际原因是将阈值设置为5毫秒，但该方法的预期执行时间在秒范围内。在这种情况下要设置的正确阈值为5秒：
.withThreshold(5000.0)