mixed $_ec2ApiVersion = '2009-05-15' (line 48)

The API version to use

• access: protected

Zend_Service_Amazon_Ec2_Abstract::$_ec2ApiVersion

The API version to use

array $_validDimensionsKeys = array('ImageId', 'AvailabilityZone', 'AutoScalingGroupName',
'InstanceId', 'InstanceType', 'LoadBalancerName') (line 184)

Valid Dimention Keys for getMetricStatistics

ImageId: This dimension filters the data you request for all instances running this EC2 Amazon Machine Image (AMI).

AvailabilityZone: This dimension filters the data you request for all instances running in that EC2 Availability Zone.

AutoScalingGroupName: This dimension filters the data you request for all instances in a specified capacity group. An AutoScalingGroup is a collection of instances defined by customers of the Auto Scaling service. This dimension is only available for EC2 metrics when the instances are in such an AutoScalingGroup.

InstanceId: This dimension filters the data you request for only the identified instance. This allows a user to pinpoint an exact instance from which to monitor data.

InstanceType: This dimension filters the data you request for all instances running with this specified instance type. This allows a user to catagorize his data by the type of instance running. For example, a user might compare data from an m1.small instance and an m1.large instance to determine which has the better business value for his application.

LoadBalancerName: This dimension filters the data you request for the specified LoadBalancer name. A LoadBalancer is represented by a DNS name and provides the single destination to which all requests intended for your application should be directed. This metric allows you to examine data from all instances connected to a single LoadBalancer.

• access: protected

array $_validStatistics = array('Average', 'Maximum', 'Minimum', 'Samples', 'Sum') (line 153)

Amazon CloudWatch not only aggregates the raw data coming in, it also computes several statistics on the data. The following table lists the statistics that you can request:

Minimum: The lowest value observed during the specified period. This can be used to determine low volumes of activity for your application.

Maximum: The highest value observed during the specified period. You can use this to determine high volumes of activity for your application.

Sum: The sum of all values received (if appropriate, for example a rate would not be summed, but a number of items would be). This statistic is useful for determining the total volume of a metric.

Average: The Average of all values received during the specified period. By comparing this statistic with the minimum and maximum statistics, you can determine the full scope of a metric and how close the average use is to the minimum and the maximum. This will allow you to increase or decrease your resources as needed.

Samples: The count (number) of measures used. This statistic is always returned to show the user the size of the dataset collected. This will allow the user to properly weight the data.

Statistics are computed within a period you specify, such as all CPUUtilization within a five minute period. At a minimum, all data is aggregated into one minute intervals. This is the minimum resolution of the data. It is this data that can be aggregated into larger periods of time that you request.

Aggregate data is generally available from the service within one minute from the end of the aggregation period. Delays in data propagation might cause late or partially late data in some cases. If your data is delayed, you should check the service’s Health Dashboard for any current operational issues with either Amazon CloudWatch or the services collecting the data, such as EC2 or Elastic Load Balancing.

• access: protected

getMetricStatistics (line 231)

Returns data for one or more statistics of given a metric

Note: The maximum number of datapoints that the Amazon CloudWatch service will return in a single GetMetricStatistics request is 1,440. If a request is made that would generate more datapoints than this amount, Amazon CloudWatch will return an error. You can alter your request by narrowing the time range (StartTime, EndTime) or increasing the Period in your single request. You may also get all of the data at the granularity you originally asked for by making multiple requests with adjacent time ranges.

• access: public

• array $options: The options you want to get statistics for: ** Required ** MeasureName: The measure name that corresponds to the measure for the gathered metric. Valid EC2 Values are CPUUtilization, NetworkIn, NetworkOut, DiskWriteOps DiskReadBytes, DiskReadOps, DiskWriteBytes. Valid Elastic Load Balancing Metrics are Latency, RequestCount, HealthyHostCount UnHealthyHostCount Statistics: The statistics to be returned for the given metric. Valid values are Average, Maximum, Minimum, Samples, Sum. You can specify this as a string or as an array of values. If you don't specify one it will default to Average instead of failing out. If you specify an incorrect option it will just skip it. ** Optional ** Dimensions: Amazon CloudWatch allows you to specify one Dimension to further filter metric data on. If you don't specify a dimension, the service returns the aggregate of all the measures with the given measure name and time range. Unit: The standard unit of Measurement for a given Measure. Valid Values: Seconds, Percent, Bytes, Bits, Count, Bytes/Second, Bits/Second, Count/Second, and None Constraints: When using count/second as the unit, you should use Sum as the statistic instead of Average. Otherwise, the sample returns as equal to the number of requests instead of the number of 60-second intervals. This will cause the Average to always equals one when the unit is count/second. StartTime: The timestamp of the first datapoint to return, inclusive. For example, 2008-02-26T19:00:00+00:00. We round your value down to the nearest minute. You can set your start time for more than two weeks in the past. However, you will only get data for the past two weeks. (in ISO 8601 format) Constraints: Must be before EndTime EndTime: The timestamp to use for determining the last datapoint to return. This is the last datapoint to fetch, exclusive. For example, 2008-02-26T20:00:00+00:00. (in ISO 8601 format)