Service/Amazon/Ec2/CloudWatch.php
Zend Framework
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- Category
- Zend
- Copyright
- Copyright (c) 2005-2014 Zend Technologies USA Inc. (http://www.zend.com)
- License
- New BSD License
- Package
- Zend_Service_Amazon
- Subpackage
- Ec2
- Version
- $Id$
\Zend_Service_Amazon_Ec2_CloudWatch
Package: Zend_Service_Amazon\Ec2
An Amazon EC2 interface that allows yout to run, terminate, reboot and describe Amazon
Ec2 Instances.
- Parent(s)
- \Zend_Service_Amazon_Ec2_Abstract < \Zend_Service_Amazon_Abstract < \Zend_Service_Abstract
- Category
- Zend
- Copyright
- Copyright (c) 2005-2014 Zend Technologies USA Inc. (http://www.zend.com)
- License
- New BSD License
Properties
$_ec2Endpoint = 'monitoring.amazonaws.com'
The HTTP query server
Default value
'monitoring.amazonaws.com'
Details- Type
- n/a
array $_validDimensionsKeys = array('ImageId', 'AvailabilityZone', 'AutoScalingGroupName', 'InstanceId', 'InstanceType', 'LoadBalancerName')
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.
Default valuearray('ImageId', 'AvailabilityZone', 'AutoScalingGroupName', 'InstanceId', 'InstanceType', 'LoadBalancerName')
Details- Type
- array
array $_validMetrics = array('CPUUtilization', 'NetworkIn', 'NetworkOut', 'DiskWriteOps', 'DiskReadBytes', 'DiskReadOps', 'DiskWriteBytes', 'Latency', 'RequestCount', 'HealthyHostCount', 'UnHealthyHostCount')
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.
Default valuearray('CPUUtilization', 'NetworkIn', 'NetworkOut', 'DiskWriteOps', 'DiskReadBytes', 'DiskReadOps', 'DiskWriteBytes', 'Latency', 'RequestCount', 'HealthyHostCount', 'UnHealthyHostCount')
Details- Type
- array
array $_validStatistics = array('Average', 'Maximum', 'Minimum', 'Samples', 'Sum')
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.
Default valuearray('Average', 'Maximum', 'Minimum', 'Samples', 'Sum')
Details- Type
- array
Methods
getMetricStatistics(array $options) : void
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.
ParametersName | Type | Description |
---|---|---|
$options | array | The options you want to get statistics for:
|
listMetrics(string $nextToken = null) : array
Return the Metrics that are aviable for your current monitored instances
Parameters
Returns
Name | Type | Description |
---|---|---|
$nextToken | string | The NextToken parameter is an optional parameter that allows you to retrieve the next set of results for your ListMetrics query. |
Type | Description |
---|---|
array |