View monitoring graphs in the Amazon EC2 Auto Scaling console - Amazon EC2 Auto Scaling
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View monitoring graphs in the Amazon EC2 Auto Scaling console

In the Amazon EC2 Auto Scaling section of the Amazon EC2 console, you can monitor minute-by-minute progress of individual Auto Scaling groups using CloudWatch metrics.

You can monitor the following types of metrics:

  • Auto Scaling metrics – Auto Scaling metrics are turned on only when you enable them. For more information, see Enable Auto Scaling group metrics (console). When Auto Scaling metrics are enabled, the monitoring graphs show data published at one-minute granularity for Auto Scaling metrics.

  • EC2 metrics – The Amazon EC2 instance metrics are always enabled. When detailed monitoring is enabled, the monitoring graphs show data published at one-minute granularity for instance metrics. For more information, see Configure monitoring for Auto Scaling instances.

To view monitoring graphs using the Amazon EC2 Auto Scaling console
  1. Open the Amazon EC2 console at https://console.amazonaws.cn/ec2/, and choose Auto Scaling Groups from the navigation pane.

  2. Select the check box next to the Auto Scaling group that you want to view metrics for.

    A split pane opens up in the bottom part of the Auto Scaling groups page.

  3. Choose the Monitoring tab.

    Amazon EC2 Auto Scaling displays monitoring graphs for Auto Scaling metrics.

  4. To view monitoring graphs of the aggregated instance metrics for the group, choose EC2.

Graph actions

  • Hover on a data point to view a data pop-up for a specific time in UTC.

  • To enlarge a graph, choose Enlarge from the menu tool (the three vertical dots) in the upper right of the graph. Alternatively, choose the maximize icon at the top of the graph.

  • Adjust the time period for data displayed in the graph by selecting one of the predefined time period values. If the graph is enlarged, you can choose Custom to define your own time period.

  • Choose Refresh from the menu tool to update the data in a graph.

  • Drag your cursor over the graph data to select a specific range. You can then choose Apply time range in the menu tool.

  • Choose View logs from the menu tool to view associated log streams (if any) in the CloudWatch console.

  • To view a graph in CloudWatch, choose View in metrics from the menu tool. This takes you to the CloudWatch page for that graph. There, you can view more information or access historical information to gain a better understanding of how your Auto Scaling group changed over an extended period.

Graph metrics for your Auto Scaling groups

After you create an Auto Scaling group, you can open the Amazon EC2 Auto Scaling console and view the monitoring graphs for the group on the Monitoring tab.

In the Auto Scaling section, the graph metrics include the following metrics. These metrics provide measurements that can be indicators of a potential issue, such as number of terminating instances or number of pending instances. You can find definitions for these metrics in Amazon CloudWatch metrics for Amazon EC2 Auto Scaling.

Display name CloudWatch metric name
Minimum Group Size GroupMinSize
Maximum Group Size GroupMaxSize
Desired Capacity GroupDesiredCapacity
In Service Instances GroupInServiceInstances
Pending Instances GroupPendingInstances
Standby Instances GroupStandbyInstances
Terminating Instances GroupTerminatingInstances
Total Instances GroupTotalInstances

In the EC2 section, you can find the following graph metrics based on key performance metrics for your Amazon EC2 instances. These EC2 metrics are an aggregate of metrics for all instances in the group. You can find definitions for these metrics in List the available CloudWatch metrics for your instances in the Amazon EC2 User Guide for Linux Instances.

Display name CloudWatch metric name
CPU Utilization CPUUtilization
Disk Reads DiskReadBytes
Disk Read Operations DiskReadOps
Disk Writes DiskWriteBytes
Disk Write Operations DiskWriteOps
Network In NetworkIn
Network Out NetworkOut
Status Check Failed (Any) StatusCheckFailed
Status Check Failed (Instance) StatusCheckFailed_Instance
Status Check Failed (System) StatusCheckFailed_System

In addition, some metrics are available for specific use cases in the Auto Scaling graph metrics.

The following metrics are useful if your group uses weights that define how many units each instance contributes to the desired capacity of the group. You can find definitions for these metrics in Amazon CloudWatch metrics for Amazon EC2 Auto Scaling.

Display name CloudWatch metric name
In Service Capacity Units GroupInServiceCapacity
Pending Capacity Units GroupPendingCapacity
Standby Capacity Units GroupStandbyCapacity
Terminating Capacity Units GroupTerminatingCapacity
Total Capacity Units GroupTotalCapacity

The following metrics are useful if your group uses the warm pool feature. You can find definitions for these metrics in Amazon CloudWatch metrics for Amazon EC2 Auto Scaling.

Display name CloudWatch metric name
Warm Pool Minimum Size WarmPoolMinSize
Warm Pool Desired Capacity WarmPoolDesiredCapacity
Warm Pool Pending Capacity Units WarmPoolPendingCapacity
Warm Pool Terminating Capacity Units WarmPoolTerminatingCapacity
Warm Pool Warmed Capacity Units WarmPoolWarmedCapacity
Warm Pool Total Capacity Units Launched WarmPoolTotalCapacity
Group and Warm Pool Desired Capacity GroupAndWarmPoolDesiredCapacity
Group and Warm Pool Total Capacity Units Launched GroupAndWarmPoolTotalCapacity
  • To monitor per-instance metrics, see Graph metrics for your instances in the Amazon EC2 User Guide for Linux Instances.

  • CloudWatch dashboards are customizable home pages in the CloudWatch console. You can use these pages to monitor your resources in a single view, even including resources that are spread across different Regions. You can use CloudWatch dashboards to create customized views of the metrics and alarms for your Amazon resources. For more information, see the Amazon CloudWatch User Guide.