![]() Click on the Metrics from the left panel and select Add Math to see the list of available functions.Search for CloudWatch in the services this will navigate you to the CloudWatch page.Let’s see how you can add math expressions to the graph. This function sums the time series values and returns a scalar value.Īll the Metric Math functions and operators are available on the AWS console. This function returns the running sum of the values from the time series This function returns the min value from the time series. This function returns the max value from the time series. This function, along with the comparison operator, returns true/false. The following table shows the available operators for Metric Math – Type of Operator The comparison operators upon comparison return 0 or 1. You cannot use the comparison operator or the logical operator between a time series and a scalar value. ![]() The Comparison and logical operators are used either with a pair of time series or scalar values. The below table shows the available arithmetic functions supported by Metric Math. For example, if you select CPU Utilization as the metric for an EC2 Instance, using the function SUM(METRICS()) will return the sum of CPU Utilization metrics over a specified time. The METRICS() function returns all the metrics available in the request. The various operators available for Metric Math are as follows – Let’s discuss the Functions and operators in detail. TS represents an array of time series.Data Type Abbreviation – In Metric Math, some functions are available only for a specific type of data the following abbreviations are used:. ![]() The Id field for all metric and math expressions must start with a lowercase letter.You have to write all the functions in uppercase letters (Eg – AVG, SUM, MIN, etc.).This section will explain the most common functions and operators from Metric Math.īefore discussing different operators and functions, here are some essential ground rules for using functions and operators: Metric Math has several functions and operators that assist users in combining and creating metrics. The above diagram shows how to combine the three different CloudWatch metrics visualizations–CPU Utilization, Memory Utilization, and Network Utilization–by using Metric Math and creating a combined Metric to set the triggers and alarms to notify users when anything goes above the threshold limit. Metric Math combining three different metrics ( source) Combine various metrics and create calculated metrics for monitoring.Automatically increase/decrease an Auto Scaling Group’s desired capacity according to the load status from metrics.Simplify the monitoring mechanism by adding Metric Math IF/AND/OR conditions to various metrics and triggering the alarm when reaching the threshold.Ability to set alarms based on various metrics such as resource utilization and job logs from multiple services, allowing you to monitor the cost of the services.Several AWS CloudWatch features are unique to Metric Math. Once you set the alarm, it will notify the group about reaching the threshold. With the help of Metric Math, you can set the alarm when the combined Memory and CPU utilization reaches 90%. To understand Metric Math, let’s take an example of AWS CloudWatch monitoring the CPU Usage and Memory utilization of AWS EMR instances. Introduction to CloudWatch Metric MathĪWS CloudWatch Metric Math is a feature of CloudWatch that allows users to combine multiple metrics from CloudWatch and create an integrated dashboard to monitor the resources and jobs and set the triggers and alarms to notify your operations team upon reaching the threshold. ![]() With the help of AWS CloudWatch, you can visualize the performance and utilization in the dashboard and define the next course of actions such as triggers, alarms, automation, etc.ĬloudWatch is a great tool to visualize the metrics as-is, but if you want to go to the next level of metrics aggregation, triggers, alarms, etc., you can do it via CloudWatch Metric Math functions. Almost all of the AWS services export the utilization metrics. You can create alerts, monitor the job, run machine learning models, and even automate the batch with the charts that it makes. This article will discuss one of AWS’s most popular and essential features, CloudWatch Metric Math.ĪWS CloudWatch is a monitoring tool that collects the data from the utilization of the Instances like EMR, EC2, etc., in the form of logs and metrics and creates graphs from the data collected to visualize and monitor the job. AWS provides several cloud services like Storage, Computation, Machine Learning, RDBMS, etc., and all these services follow pay-as-you-go models equipped with serverless systems. AWS or Amazon Web Services is the most popular cloud provider widely used in the industry.
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