#Getting Started


The Amazon Web Services (AWS) Integration allows performance data to be collected at regular intervals from AWS for analysis in Metricly. Metrics For a list of collected and computed metrics, visit our Metrics List. Dependencies Must have access to an AWS account and CloudWatch metrics. ASG EC2 EBS ELB RDS SQS DynamoDB Kinesis Stream Redshift ElastiCache EMR ECS Lambda Custom CloudWatch Metric S3 Bucket Application Load Balancer Target Group MQ Broker Prerequisite: Enable Cost Explorer Regardless of the installation method used below, Cost Explorer must be enabled from the master billing account–even if set up on a sub-account.

AWS Services Cost

View data across all of your AWS services with the AWS Service Cost Report. This report shows not only services currently used, but all services–including those not currently monitored by Metricly–to provide an overall view of your AWS cost. This report can include data from multiple accounts if consolidated billing has been set up and configured. See the admin guide for any installation and configuration steps. Like the screenshots found in this guide?

Add Metric to Dashboard

Add as Single Metric Widget Open the Metric chart sub-menu . Click Add to Dashboard. In the Add to Dashboard window, click Dashboards and select a dashboard or type to search. Change the widget name if desired. Click Save. The widget is now available on the selected dashboard. Add as Multi-Metric Widget Merge as many metrics as desired. Open the Metric Chart sub-menu . Click Add to Dashboard.

Alerts Widget

Visualization Options for this widget type include: map, heat map, and ticker. The map option is currently limited to AWS integrations. Map alerts can be grouped via element or policies. See the Alerts User Guide for a full explanation of events and alerts, and their relationship to policies. Scope Set the scope by inputting an element name or choosing an element tag or attribute. Group By Group your alerts by element or policy.


Metricly uses advanced analytics to monitor your environment and proactively notify you when problems occur. There are 3 basic data types that Metricly uses to do so: Raw data: Data collected from a third party integration that has not been interpreted, or aggregated, by Metricly. Because it has not been aggregated, raw data does not contribute to event creation. Aggregate data: Data collected from an integration that has been interpreted by Metricly.

Baseline Bands

Baseline Bands represent the normal operating range of a metric. Metricly determines the normal operating range of a metric based on weekly patterns in the behavior of that metric. The image below provides an example of Baseline bands in green surrounding the actual, current value for a CPU utilization metric in black. The green band demonstrates how Metricly learns the expected behavior of the metric based on patterns in the behavior of that metric.

Chart Features

Metric charts on the Metrics page allow you to view time-series data collected on elements in your environment. The range of data shown in metric charts corresponds to the range of data shown in the Events graph. This allows you to compare event data to the metric behavior that caused it. Metric Metadata Click the metric name to open the metric metadata panel. Metadata Description Avg The average value recorded in the last cycle.

Contextual Bands

Contextual Bands represent the range of current expected values for a metric based on other correlated metrics in the learned model. In contrast to Baseline bands which look for patterns in a metric in isolation, Contextual bands take into account how the value of one metric may impact another. The image below provides an example of a Contextual band in purple surrounding the actual, current value for a metric called Bytes In Per Second.

Copy a Dashboard

Copy a Dashboard A quick and easy way to create a customized dashboard is to copy a defaulted one and edit it. Navigate to Dashboards > Select Dashboard Name. Click on > Copy. Rename the Dashboard. Edit the widgets by clicking … > Settings or Delete.

Cost Explorer Widget

Visualization Options for this widget type include: period comparison, service total, and doughnut. Options Top Limit: Set a limit on the number of services represented in the visualization Grouped By: Choose between AWS Service, Account Id, or Availability Zone Time Range Selecting a Time Range defines a scope in time the visualization uses to measure cost. Using the Period Comparison visualization enables you to select a current timeframe (day, month, 6 months, etc) and compare its previous timeframe interval.