Elastic Compute Cloud (EC2)

Overview

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud.

Setup

Installation

If you haven’t already, first set up the AWS CloudWatch integration. No additional steps are needed for installation.

Configuration

On the AWS CloudWatch integration page, ensure that the EC2 service is selected for metric collection.

Metrics

Note

AppOptics supports the ability to filter by tag for EC2 resources. For more informaiton, please see our instructions on filtering metrics using tags.

Name Description
CPUCreditUsage
(count)
For T2 Instances. The number of CPU credits consumed by the
instance. One CPU credit equals one vCPU running at 100%
utilization for one minute or an equivalent combination of vCPUs,
utilization, and time (for example, one vCPU running at 50%
utilization for two minutes or two vCPUs running at 25%
utilization for two minutes).
CPUCreditBalance
(count)
For T2 Instances. The number of CPU credits available for the
instance to burst beyond its base CPU utilization. Credits are
stored in the credit balance after they are earned and removed
from the credit balance after they expire. Credits expire 24 hours
after they are earned.
CPUUtilization
(percent)
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.
DiskReadOps
(count)
Completed read operations from all instance store volumes available
to the instance in a specified period of time.
DiskWriteOps
(count)
Completed write operations to all instance store volumes available
to the instance in a specified period of time.
DiskReadBytes
(bytes)
Bytes read from all instance store volumes 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.
DiskWriteBytes
(bytes)
Bytes written to all instance store volumes 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.
NetworkIn
(bytes)
The number of bytes received on all network interfaces by the
instance. This metric identifies the volume of incoming network
traffic to a single instance.
NetworkOut
(bytes)
The number of bytes sent out on all network interfaces by the
instance. This metric identifies the volume of outgoing network
traffic from a single instance.
NetworkPacketsIn
(count)
The number of packets received on all network interfaces by the
instance. This metric identifies the volume of incoming traffic in
terms of the number of packets on a single instance. This metric is
available for basic monitoring only.
NetworkPacketsOut
(count)
The number of packets sent out on all network interfaces by the
instance. This metric identifies the volume of outgoing traffic
in terms of the number of packets on a single instance. This metric
is available for basic monitoring only.
StatusCheckFailed
(count)
Reports whether the instance has passed both the instance status
check and the system status check in the last minute.

This metric can be either 0 (passed) or 1 (failed).
StatusCheckFailed_Instance
(count)
Reports whether the instance has passed the instance status check
in the last minute.

This metric can be either 0 (passed) or 1 (failed).
StatusCheckFailed_System
(count)
Reports whether the instance has passed the system status check in
the last minute.

This metric can be either 0 (passed) or 1 (failed).

Available Tags

Name Description
awsaccount AWS account associated with the metrics
autoscalinggroupname Name of the Auto Scaling group
az Availability zone of the instance
instanceid ID of the instance
instancetype Type of the instance
name Name of the instance
region Name of the region

Note

We retrieve up to 25 custom tags created on your EC2 instances. To use the custom tags, copy the curated dashboard and use the dynamic tags feature.