AWS Auto Scaling is a service that automatically adjusts resources to maintain performance for applications hosted in the Amazon Web Services (AWS) cloud.
How It Works
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. It uses Amazon CloudWatch to monitor the load on resources and adjusts them to maintain performance and cost efficiency.
Benefits
- Efficient Resource Utilization: Auto Scaling ensures that you’re only using the resources you need.
- Cost Optimization: By scaling resources, you pay only for what you use.
- Performance Maintenance: It helps maintain application performance during demand spikes and lulls.
- Automated Capacity Management: Auto Scaling automates capacity management for AWS resources, saving time and effort.
Limitations
- Complex Setup: Initial setup can be complex and requires understanding of AWS services.
- Cost Surprises: If not monitored, Auto Scaling could lead to unexpected costs.
- Limited Customization: While AWS provides many options, there may be limitations in customization compared to a self-managed infrastructure.
Features
- Dynamic Scaling: Adjusts the number of instances in response to demand patterns.
- Predictive Scaling: Uses machine learning to predict future demand and schedule instances.
- Scaling Plans: Allows creation of scaling plans for resource optimization across multiple services.
Use Cases
- Web Application Scaling: To handle traffic spikes and drops for web applications.
- Big Data Analysis: To scale compute resources for big data applications.
- Microservices: To provide each microservice with the necessary compute resources.