AWS Elastic Beanstalk Supports Time-based Scaling
You can now scale AWS Elastic Beanstalk environments on a defined schedule. Previously, you could scale your Amazon EC2 instances managed by Elastic Beanstalk based on user-defined triggers such as CPU utilization or bandwidth usage. Now, you can also scale your Amazon EC2 instances based on user-defined times. Time-based scaling helps you more efficiently and easily plan for predictable load changes based on your traffic patterns. You can proactively scale your application in advance of expected traffic through time-based scaling instead of waiting for your scaling action to be triggered by metrics. This improves your customers’ experience and helps you optimize cost.
Please see our documentation for more information on this feature.
For more information on AWS Elastic Beanstalk:
• Product Page
• Documentation
• Supported Platforms
You can now scale AWS Elastic Beanstalk environments on a defined schedule. Previously, you could scale your Amazon EC2 instances managed by Elastic Beanstalk based on user-defined triggers such as CPU utilization or bandwidth usage. Now, you can also scale your Amazon EC2 instances based on user-defined times. Time-based scaling helps you more efficiently and easily plan for predictable load changes based on your traffic patterns. You can proactively scale your application in advance of expected traffic through time-based scaling instead of waiting for your scaling action to be triggered by metrics. This improves your customers’ experience and helps you optimize cost.
Please see our documentation for more information on this feature.
For more information on AWS Elastic Beanstalk:
• Product Page
• Documentation
• Supported Platforms