AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
| Product | Market Share (%) |
|---|---|
| AWS Auto Scaling | 0.2% |
| Dynatrace | 10.2% |
| Datadog | 8.5% |
| Other | 81.1% |
AWS Auto Scaling was previously known as AWS Auto-Scaling.
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| Author info | Rating | Review Summary |
|---|---|---|
| AWS Cloud Re-Start Program Specialist at Orange RDC (Congo) | 5.0 | I primarily use AWS Auto Scaling to deploy applications at scale. While its automatic scaling capabilities are valuable, the configuration setup is complex, requiring extensive work that led me to switch to CloudFormation for a simplified deployment process. |
| AWS Cloud at AeonX Digital Solutions Pvt. Ltd. | 4.0 | We use AWS Auto Scaling to manage EC2 traffic, particularly for scheduling instances to handle peak times, enhancing user experience. It effectively manages traffic, though deployment can be challenging due to downtime and existing running servers. |
| AWS Cloud Architect at WHY Global Services | 4.0 | I use AWS Auto Scaling to manage sudden surges in user demand, such as during major TV events or year-end sales. It efficiently scales servers as needed, ensuring stability by preventing overload without any specific challenges or need for improvements. |
| AWS / Big Data Engineer at Waste Management, Inc. | 3.5 | I find AWS Auto Scaling to be a valuable service for automatic scaling needs, offering cost-effectiveness for businesses. However, it could improve in billing and cost optimization, ideally by providing services on a biweekly basis. |
| Cloud Engineer - Supervisor at KBZ Bank | 4.5 | We integrate AWS Auto Scaling with CloudWatch to manage CPU utilization easily. It ensures no application downtime and provides effective monitoring. However, improvements in infrastructure scalability and elasticity would enhance the solution. Overall, we find it user-friendly. |
| Infrastructure Engineer at a tech vendor with 10,001+ employees | 4.0 | We use AWS Auto Scaling to manage the number of instances as needed. The most valuable feature is the ability to set instance limits. Although the documentation needs improvement, it provides a good return on investment for us. |
| Senior Devops Engineer at LEAD School | 5.0 | We use AWS Auto Scaling for its ability to automatically adjust application capacity based on predefined metrics, crucial when we can't constantly monitor the service. The user-friendly interface and CLI enhance its usability, although more scaling algorithms could improve the solution. |
| DevOps Engineer at Freelance | 5.0 | I use AWS Auto Scaling to efficiently manage instances based on real-time needs, reducing costs. It prevents overloading during traffic spikes but needs faster response times and better communication. Overall, it's a worthwhile investment for our environment. |
