Amazon CloudWatch provides metrics collection and observation features, which can be used to monitor the performance and operational health of AWS services such as Amazon EC2. When specific metrics meet certain conditions, an alarm can trigger actions, such as scaling out or in the number of EC2 instances within an Auto Scaling group. This ability to take automated actions based on metrics ensures that the system can adapt to load changes, contributing to high availability by matching the required compute capacity to current demands.
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What specific metrics can Amazon CloudWatch track to trigger scaling actions?
How does Amazon EC2 Auto Scaling maintain high availability?
What are the advantages of using Amazon CloudWatch in conjunction with EC2 Auto Scaling?