By spreading arriving traffic across several EC2 instances, AWS Load Balancing enhances fault tolerance and guarantees best resource use, hence complementing Auto Scaling.

AWS recently released Warm Pools for EC2 Auto Scaling, which reduces the time and cost to scale out (aka horizontal scaling) applications by maintaining a pool of pre-initialized instances.

AWS Auto Scaling then takes care of the rest, increasing the capacity of constrained resources during demand spikes to ensure the application delivers the expected performance.

Instead, you simply point AWS Auto Scaling at your application and select the services and resources of interest.

The new feature, AWS Auto Scaling, eases management for some of Amazon's largest MSP partners looking to automate resource availability across complex customer deployments taking advantage of ...

With more than 80 million active monthly users, who share data across 190 countries, the scale of this was significant. In order to reduce the carbon footprint of their server use, WeTransfer switched ...

A launch template simply instructs AWS on how to create new VMs within the auto scaling group. For example, this template would specify the AMI to be used, your preferred key pair, the instance type ...

Tools like Kubernetes' Horizontal Pod Autoscaler (HPA) or cloud-specific auto-scaling services (AWS Auto Scaling, Azure VM Scale Sets) help optimize cost efficiency by scaling resources up or down ...

It builds on Amazon’s existing scaling features and will run on any desired EC2 Auto Scaling groups, EC2 Spot Fleets, ECS tasks, DynamoDB tables, DynamoDB Global Secondary Indexes, and Aurora ...

Scalr is a recently open-sourced framework for managing the massive serving power of Amazon's Elastic Computing Cloud (EC2) service. While web services ...