Monitor AWS Auto Scaling with Datadog

Amazon Web Services (AWS) Elastic Compute Cloud (EC2) allows easy launch and termination of virtual machines, while AWS Auto Scaling takes it further by automating the process. Datadog's Auto Scaling integration enables tracking metrics and events from Auto Scaling groups alongside other AWS services. The integration provides an out-of-the-box screenboard that displays recent Auto Scaling events, shows changes in Auto Scaling groups over time, and indicates their size distribution. AWS Auto Scaling responds to changes in demand for EC2 resources by adjusting the number of instances accordingly. It can be configured based on specific application needs, such as regular scaling schedules, dynamic scaling policies, or manual scaling with minimum and maximum limits. Datadog's integration helps determine appropriate configurations for Auto Scaling groups as infrastructure grows. Users can find key demand metrics by graphing, comparing, and correlating resource metrics across Auto Scaling groups in Datadog. Each Auto Scaling metric is automatically tagged with its autoscaling_group, allowing targeted dashboards to be created. By tracking resource usage over time, users can select an appropriate metric for each group's scaling policy. Datadog also helps monitor the health of Auto Scaling groups and their responses to changes in demand. Users can set alerts to gauge the health of their groups and determine if they respond appropriately when demand fluctuates. Additionally, Datadog enables users to view events from any Auto Scaling group or focus on a single group using the autoscaling_group tag for filtering queries. To monitor AWS Auto Scaling with Datadog, enable Auto Scaling in the AWS integration tile after setting up the Amazon Web Services integration. A 14-day free trial is available for new users.