#Tools

ASG Recommendations

The Auto Scaling Group (ASG) Recommendations report provides a summary of the EC2 instance hours managed by all of your Auto Scaling Groups over the past few weeks. The data is summarized by hour and day for the preceding one-to-four weeks depending on how long Metricly has been monitoring the ASG. Total Instance Count graph: This graph depicts the average total number of instances managed by all of your ASG(s) by hour and day.

Billing Analysis Guides

Metricly’s Billing Analysis tool uncomplicates the task of tracking and budgeting your AWS Cloud spend. This tool reads the detailed billing data from your AWS account or consolidated billing family and breaks it down by cost allocation tags, services, and metadata. About These guide show you how to use the Billing Analysis tool using different scenarios; for a full list of features, see our Billing Analysis Documentation pages. The Billing Analysis tool requires at least one AWS datasource enabled on your account.

Cost Reports

Cost reports enable you to easily identify expensive instances and compare them against utilization, type, elements, and tags. These multi-dimensional reports also break down information like total versus individual instance costs and even how much each instance state (Reserved, On-Demand) costs. Custom tagging is another easy way to group your instances. Cost Reports are generated once per week. It may take up to 7 days before your first report is available.

Create Budget Alerts

Budget Alerts can be set in the Billing Analysis tool using a combination of: Saved reports Send Daily Email Matching Conditions Read the guide on creating budget alerts before using this guide. Practice Create a daily Budget Alert of cost deltas above $5 for EC2 - Other Usage Types. Navigate to Cost Management > Billing Analysis. Select Quick ranges > Latest day. Select CONFIGURE. Select the EC2 - Other service.

Create a Monthly Cost Reports

To use the Billing Analysis tool, login to Metricly and navigate to Cost Management > Billing Analysis. Create and Save a Monthly Total Cost Report Let’s say you want to explore a breakdown of your bill across AWS Availability Zones for the past month (30 days). How would you do that? Select Latest 30 days in the Quick ranges dropdown. Select CONFIGURE to open the configuration modal. Select Stacked View for the visualization, as we aren’t looking to compare periods in this report.

EC2 Recommendations

This report compares your EC2s and utilization data to the most currently available SKU library in AWS to determine what combination would best suit your existing workload needs. You can also add optional constraints (such as CPU utilization not exceeding a particular level) to filter down recommendation results and highlight different savings opportunities. By default, this report shows your top 10 recommendations. Access (Currently in Beta) To use the updated EC2 Recommendation report, navigate to the Beta page.

EC2 Reservation Recommendations

Avoid overbuying reserved resources with the EC2 Reservation Recommendation report. This report uses instance-hour usage data to compile multi-dimensional visualizations and provide tailor-fit purchasing recommendations to help you achieve longterm savings. An AWS integration with Detailed Billing must be enabled before using this report. This report helps you: Avoid overbuying reserved resources Decide on adequate reservation types for your use cases Get solid recommendations Visualize your total resource usage across multiple dimensions Visualization Options Switch Between Views Click CONFIGURE.

Explore Cost Deltas

Cost deltas are noticeable rises in resource cost discovered when comparing two distinct time periods in your AWS billing history. Measuring your cost deltas against the average application workload cost is a great way to discover opportunities to save. Read the guide on creating budget alerts before using this guide. In the previous guide, we created a Billing Analysis report that displays EC2 - Other costs from the Latest 30 Days broken down by Usage Type.