Cloud spend is anticipated to continue its massive growth trajectory for the foreseeable future. However, the spend does not have to match that same growth curve! To help our Clients maintain sound Cloud Optimization programs, we've assembled a series of articles and tips called: 12 for '21 Cloud Optimization Series (note: request a download of all 12 here).
Our sixth chapter in the series: CloudWatch with Autoscaling
AWS CloudWatch (Azure Monitor, GCP Monitoring) enables you to collect consumption metrics and set up alarms to invoke actions. These tools collect these metrics, allows you to visualize them and to define alarms with the objective of optimal utilization of your cloud platform.
Defining an Alarm
If you were monitoring your Virtual Machines (‘VMs’), the key consumption metrics of interest would be CPU Utilization/Memory Utilization/Network In/Network Out. How do you get notified when one of these resources gets scarce or is no longer being used? You would have to define an alarm and specify three settings to enable CloudWatch or Monitor to evaluate when to change the alarm state:
- Period is the length of time to evaluate the consumption metric. It is expressed in seconds or minutes. If you choose one minute as the period, the alarm evaluates the metric once per minute.
- Evaluation Periods is the number of most recent periods (e.g., hours, days, weeks) or data points, to evaluate when determining alarm state.
- Datapoints to Alarm is the number of data points within the Evaluation Periods that must be breaching to cause the alarm to go to the Alarm state.
You can specify what actions an alarm takes when it changes state. The most common type of alarm action is to notify one or more people by sending a message. Alarms based on VMs metrics can also perform actions, such as stopping, terminating, rebooting, or recovering an EC2 instance.
AutoScaling and CloudWatch
AWS Auto scaling (GCP AutoScaling, Azure AutoScale) is a cloud computing feature to automatically scale cloud services (e.g., VMs), up or down, depending on a particular set of consumption metrics (e.g., CPU utilization, memory). Auto-scaling ensures that resources are seamlessly increased during demand spikes and decreased during demand drops, enabling consistent performance for lower costs. Using a combination of CloudWatch data and its alarms, you can set up specific rules/ policies within an Auto Scaling Group. With such, you could automatically scale up or scale down your infrastructure with a set of defined consumption metrics. Between CloudWatch and AutoScaling, you not only save cloud money but also valuable time of your CloudOps team.
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