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AWS EC2 Auto Scaling

What is it​

A service that automatically adjusts the number of EC2 instances in your application to maintain performance and availability while optimizing costs.

What it's for​

Automatically scaling your application's compute capacity up or down based on demand, ensuring optimal performance and cost efficiency.

Use cases​

  • Web applications with variable traffic
  • Batch processing jobs
  • Applications with predictable load patterns
  • High-availability applications
  • Cost optimization for variable workloads

Key points​

  • Dynamic scaling: Automatically adjusts capacity based on demand
  • Predictive scaling: Uses machine learning to predict traffic patterns
  • Scheduled scaling: Scales based on predictable load changes
  • Health checks: Automatically replaces unhealthy instances
  • Multiple scaling policies: Target tracking, step scaling, and simple scaling

Comparison​

  • AWS EC2 Auto Scaling vs. Manual Scaling: Auto Scaling automatically adjusts capacity based on demand, reducing operational overhead and ensuring optimal performance. Manual scaling requires human intervention to add or remove instances, which can lead to over-provisioning or under-provisioning. Auto Scaling is ideal for applications with variable workloads, while manual scaling might be suitable for applications with stable, predictable loads.