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<?php
/**
* Zend Framework
*
* LICENSE
*
* This source file is subject to the new BSD license that is bundled
* with this package in the file LICENSE.txt.
* It is also available through the world-wide-web at this URL:
* http://framework.zend.com/license/new-bsd
* If you did not receive a copy of the license and are unable to
* obtain it through the world-wide-web, please send an email
* to license@zend.com so we can send you a copy immediately.
*
* @category Zend
* @package Zend_Service_Amazon
* @subpackage Ec2
* @copyright Copyright (c) 2005-2009 Zend Technologies USA Inc. (http://www.zend.com)
* @license http://framework.zend.com/license/new-bsd New BSD License
* @version $Id: CloudWatch.php 19067 2009-11-19 22:13:54Z sidhighwind $
*/
require_once 'Zend/Service/Amazon/Ec2/Abstract.php';
/**
* An Amazon EC2 interface that allows yout to run, terminate, reboot and describe Amazon
* Ec2 Instances.
*
* @category Zend
* @package Zend_Service_Amazon
* @subpackage Ec2
* @copyright Copyright (c) 2005-2009 Zend Technologies USA Inc. (http://www.zend.com)
* @license http://framework.zend.com/license/new-bsd New BSD License
*/
class Zend_Service_Amazon_Ec2_CloudWatch extends Zend_Service_Amazon_Ec2_Abstract
{
/**
* The HTTP query server
*/
protected $_ec2Endpoint = 'monitoring.amazonaws.com';
/**
* The API version to use
*/
protected $_ec2ApiVersion = '2009-05-15';
/**
* XML Namespace for the CloudWatch Stuff
*/
protected $_xmlNamespace = 'http://monitoring.amazonaws.com/doc/2009-05-15/';
/**
* The following metrics are available from each EC2 instance.
*
* CPUUtilization: The percentage of allocated EC2 compute units that are
* currently in use on the instance. This metric identifies the processing
* power required to run an application upon a selected instance.
*
* NetworkIn: The number of bytes received on all network interfaces by
* the instance. This metric identifies the volume of incoming network
* traffic to an application on a single instance.
*
* NetworkOut: The number of bytes sent out on all network interfaces
* by the instance. This metric identifies the volume of outgoing network
* traffic to an application on a single instance.
*
* DiskWriteOps: Completed write operations to all hard disks available to
* the instance. This metric identifies the rate at which an application
* writes to a hard disk. This can be used to determine the speed in which
* an application saves data to a hard disk.
*
* DiskReadBytes: Bytes read from all disks available to the instance. This
* metric is used to determine the volume of the data the application reads
* from the hard disk of the instance. This can be used to determine the
* speed of the application for the customer.
*
* DiskReadOps: Completed read operations from all disks available to the
* instances. This metric identifies the rate at which an application reads
* a disk. This can be used to determine the speed in which an application
* reads data from a hard disk.
*
* DiskWriteBytes: Bytes written to all disks available to the instance. This
* metric is used to determine the volume of the data the application writes
* onto the hard disk of the instance. This can be used to determine the speed
* of the application for the customer.
*
* Latency: Time taken between a request and the corresponding response as seen
* by the load balancer.
*
* RequestCount: The number of requests processed by the LoadBalancer.
*
* HealthyHostCount: The number of healthy instances. Both Load Balancing dimensions,
* LoadBalancerName and AvailabilityZone, should be specified when retreiving
* HealthyHostCount.
*
* UnHealthyHostCount: The number of unhealthy instances. Both Load Balancing dimensions,
* LoadBalancerName and AvailabilityZone, should be specified when retreiving
* UnHealthyHostCount.
*
* Amazon CloudWatch data for a new EC2 instance becomes available typically
* within one minute of the end of the first aggregation period for the new
* instance. You can use the currently available dimensions for EC2 instances
* along with these metrics in order to refine the slice of data you want returned,
* such as metric CPUUtilization and dimension ImageId to get all CPUUtilization
* data for instances using the specified AMI.
*
* @var array
*/
protected $_validMetrics = array('CPUUtilization', 'NetworkIn', 'NetworkOut',
'DiskWriteOps', 'DiskReadBytes', 'DiskReadOps',
'DiskWriteBytes', 'Latency', 'RequestCount',
'HealthyHostCount', 'UnHealthyHostCount');
/**
* 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.
*
* @var array
*/
protected $_validStatistics = array('Average', 'Maximum', 'Minimum', 'Samples', 'Sum');
/**
* 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.
*
* @var array
*/
protected $_validDimensionsKeys = array('ImageId', 'AvailabilityZone', 'AutoScalingGroupName',
'InstanceId', 'InstanceType', 'LoadBalancerName');
/**
* 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.
*
* @param 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)
*/
public function getMetricStatistics(array $options)
{
$_usedStatistics = array();
$params = array();
$params['Action'] = 'GetMetricStatistics';
if (!isset($options['Period'])) {
$options['Period'] = 60;
}
if (!isset($options['Namespace'])) {
$options['Namespace'] = 'AWS/EC2';
}
if (!isset($options['MeasureName']) || !in_array($options['MeasureName'], $this->_validMetrics, true)) {
throw new Zend_Service_Amazon_Ec2_Exception('Invalid Metric Type: ' . $options['MeasureName']);
}
if(!isset($options['Statistics'])) {
$options['Statistics'][] = 'Average';
} elseif(!is_array($options['Statistics'])) {
$options['Statistics'][] = $options['Statistics'];
}
foreach($options['Statistics'] as $k=>$s) {
if(!in_array($s, $this->_validStatistics, true)) continue;
$options['Statistics.member.' . ($k+1)] = $s;
$_usedStatistics[] = $s;
}
unset($options['Statistics']);
if(isset($options['StartTime'])) {
if(!is_numeric($options['StartTime'])) $options['StartTime'] = strtotime($options['StartTime']);
$options['StartTime'] = gmdate('c', $options['StartTime']);
} else {
$options['StartTime'] = gmdate('c', strtotime('-1 hour'));
}
if(isset($options['EndTime'])) {
if(!is_numeric($options['EndTime'])) $options['EndTime'] = strtotime($options['EndTime']);
$options['EndTime'] = gmdate('c', $options['EndTime']);
} else {
$options['EndTime'] = gmdate('c');
}
if(isset($options['Dimensions'])) {
$x = 1;
foreach($options['Dimensions'] as $dimKey=>$dimVal) {
if(!in_array($dimKey, $this->_validDimensionsKeys, true)) continue;
$options['Dimensions.member.' . $x . '.Name'] = $dimKey;
$options['Dimensions.member.' . $x . '.Value'] = $dimVal;
$x++;
}
unset($options['Dimensions']);
}
$params = array_merge($params, $options);
$response = $this->sendRequest($params);
$response->setNamespace($this->_xmlNamespace);
$xpath = $response->getXPath();
$nodes = $xpath->query('//ec2:GetMetricStatisticsResult/ec2:Datapoints/ec2:member');
$return = array();
$return['label'] = $xpath->evaluate('string(//ec2:GetMetricStatisticsResult/ec2:Label/text())');
foreach ( $nodes as $node ) {
$item = array();
$item['Timestamp'] = $xpath->evaluate('string(ec2:Timestamp/text())', $node);
$item['Unit'] = $xpath->evaluate('string(ec2:Unit/text())', $node);
$item['Samples'] = $xpath->evaluate('string(ec2:Samples/text())', $node);
foreach($_usedStatistics as $us) {
$item[$us] = $xpath->evaluate('string(ec2:' . $us . '/text())', $node);
}
$return['datapoints'][] = $item;
unset($item, $node);
}
return $return;
}
/**
* Return the Metrics that are aviable for your current monitored instances
*
* @param string $nextToken The NextToken parameter is an optional parameter
* that allows you to retrieve the next set of results
* for your ListMetrics query.
* @return array
*/
public function listMetrics($nextToken = null)
{
$params = array();
$params['Action'] = 'ListMetrics';
if (!empty($nextToken)) {
$params['NextToken'] = $nextToken;
}
$response = $this->sendRequest($params);
$response->setNamespace($this->_xmlNamespace);
$xpath = $response->getXPath();
$nodes = $xpath->query('//ec2:ListMetricsResult/ec2:Metrics/ec2:member');
$return = array();
foreach ( $nodes as $node ) {
$item = array();
$item['MeasureName'] = $xpath->evaluate('string(ec2:MeasureName/text())', $node);
$item['Namespace'] = $xpath->evaluate('string(ec2:Namespace/text())', $node);
$item['Deminsions']['name'] = $xpath->evaluate('string(ec2:Dimensions/ec2:member/ec2:Name/text())', $node);
$item['Deminsions']['value'] = $xpath->evaluate('string(ec2:Dimensions/ec2:member/ec2:Value/text())', $node);
if (empty($item['Deminsions']['name'])) {
$item['Deminsions'] = array();
}
$return[] = $item;
unset($item, $node);
}
return $return;
}
}
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