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Introducing Amazon EC2 Resource Optimization Recommendations

Source: AWS Starting today, you can access custom-generated Amazon EC2 resource optimization recommendations in AWS Cost Explorer. These recommendations identify idle and underutilized instances across your accounts and regions. To generate these recommendations, AWS analyzes your historical EC2 resource usage, your Amazon CloudWatch metrics, and your existing reservation footprint to identify opportunities for cost savings (e.g., by terminating idle instances or downsizing active instances to lower-cost options). For example, if your m5.2xlarge has a maximum utilization of 20% over the last 14 days, AWS may recommended downsizing that instance to m5.xlarge or m5.large and show you how much you can save based on your usage and your applicable m5 family reservations.

AWS Cost Explorer now Supports Usage-Based Forecasts

Source: AWS Starting today, you can create custom usage forecasts using AWS Cost Explorer to gain a line of sight into your future usage patterns. Cost Explorer’s usage forecasts use a machine learning algorithm that learns your historical usage trends and uses that information to provide a forecast of your future usage. Using these forecasts, you can better understand your expected cost trends and monitor your key usage patterns (for example, storage, data transfer, or running hours). Please note that you can generate your usage forecasts and explore your cost and usage data programmatically via the AWS Cost Explorer API.