Automatically scale with the new Auto Scaling Groups
This new service allows you to automatically adapt to load changes by adding or deleting instances in a few minutes.
Today is the time to focus on greater efficiency, so we strive to help you spend less effort on sophisticated, scalable, and reliable cloud infrastructures.
CROC Cloud now features the Auto Scaling Groups service that enables automatic scaling of instance groups. So you no longer need to look for solutions how to scale resources. Instead, you simply create an Auto Scaling Group and set scaling policies, and Auto Scaling will do the rest as and when required.Auto Scaling Groups can improve:
- Availability: new instances are created automatically when the existing ones can no longer support the load.
- Fault tolerance: if an instance fails, the cloud terminates it, and replaces it with a new one.
- Cost efficiency: pay for what you really need and use to handle the load.
Instances in a group are created from launch templates. Introduced recently, launch templates are explicitly designed to describe instance configuration and are now available via the web interfaces.
Furthermore, the capacity of an Auto Scaling Group is controlled through updated alarms. The latter allow you now to automatically trigger a scaling policy when predefined conditions occur. For example, a specified number of instances can be launched when the average CPU utilization in the group exceeds 80%.
The beta version of Auto Scaling Groups is available via both the web interface and API. To learn how to work with the service, please see the documentation.
To simplify the management of Auto Scaling Groups via API, we offer the c2-as utility and customized versions of the boto3 and botocore Python libraries. To use c2-as, you need to update the settings for API access. Instructions on how to install the libraries can be found here.
We would be most grateful if you send your feedback and suggestions on the service via the support portal support.cloud.croc.ru or email to firstname.lastname@example.org with the #autoscaling hashtag. Your feedback will help us make the service more functional.