Category: Auto Scaling

This post is written by Scott Horsfield, Principal Solutions Architect, EC2 Scalability and Ankur Sethi, Sr. Product Manager, EC2 Amazon EC2 Auto Scaling allows customers to realize the elasticity benefits of AWS by automatically launching and shutting down instances to match application demand. Today, we are excited to tell you about predictive scaling. It is a […]

This post is written by Brian Zambrano, Enterprise Solutions Architect and Srinivasa Atta, Sr. Technical Account Manager With microservice architectures, multiple teams within an organization often build different parts of an application. Different teams may own functionality for a given business segment. An effective pattern to support this is a centrally managed public API. This […]

This post is contributed by Scott Horsfield, Principal Solutions Architect for EC2 Scalability, Surabhi Agarwal,  Senior Product Manager for EC2 Auto Scaling, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2. Customers have been using EC2 Auto Scaling to architect sophisticated, scalable, and robust applications on the AWS Cloud for over a decade. Launched in […]

This post is written by Tyler Lynch, Sr. Solutions Architect – EdTech, and Praneeth Tekula, Technical Account Manager. As customers seek performance improvements and to cost optimize their workloads, they are evaluating and adopting AWS Graviton2 based instances. This post provides instructions on how to configure your Amazon EC2 Auto Scaling group (ASG) to use […]

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

By Deepthi Chelupati and Chad Schmutzer AWS now offers Capacity Rebalancing for Amazon EC2 Auto Scaling, a new feature for proactively managing the Amazon EC2 Spot Instance lifecycle in an Auto Scaling group. Capacity Rebalancing complements the capacity optimized allocation strategy (designed to help find the most optimal spare capacity) and the mixed instances policy […]

This post is contributed by Kinnar Sen – Sr. Specialist Solutions Architect, EC2 Spot TensorFlow (TF) is a popular choice for machine learning research and application development. It’s a machine learning (ML) platform, which is used to build (train) and deploy (serve) machine learning models. TF Serving is a part of TF framework and is […]

This post is contributed by Scott Horsfield – Sr. Specialist Solutions Architect, EC2 Spot Amazon EC2 Spot Instances are spare compute capacity in the AWS Cloud available to you at steep discounts compared to On-Demand Instance prices. The only difference between an On-Demand Instance and a Spot Instance is that a Spot Instance can be […]

This post is contributed to by: Ran Sheinberg – Principal EC2 Spot SA, and Isaac Vallhonrat – Sr. EC2 Spot Specialist SA Today, we are launching Instance Refresh. This is a new feature in EC2 Auto Scaling that enables automatic deployments of instances in Auto Scaling Groups (ASGs), in order to release new application versions or make […]

This post is contributed by Isaac Vallhonrat, Sr. EC2 Spot Specialist SA Amazon EC2 Spot Instances allow customers to save up to 90% compared to On-Demand pricing by leveraging spare EC2 capacity. Spot Instances are a perfect fit for fault tolerant workloads that are flexible to run on multiple instance types such as batch jobs, […]