AWS Compute Blog

Roshni Pary

Author: Roshni Pary

10 things you can do today to reduce AWS costs

This post is contributed by Shankar Ramachandran, SA Specialist, Cost Optimization Introduction AWS’s breadth of services and pricing options offer the flexibility to effectively manage your costs, and still keep the performance and capacity per your business requirement. While the fundamental process of cost optimization on AWS remains the same – monitor your AWS costs and usage, […]

Using new vCPU-based On-Demand Instance limits with Amazon EC2

This post is contributed by Saloni Sonpal, Senior Product Manager, Amazon EC2 As an Amazon EC2 customer running On-Demand Instances, you can increase or decrease your compute capacity depending on your application’s needs, and only pay for what you use. EC2 implements instance limits, which give you a highly elastic experience while protecting you from […]

Using partition placement groups for large distributed and replicated workloads in Amazon EC2

This post is contributed by Ankit Jain – Sr. Product Manager, Amazon EC2 and Harsha Warrdhan Sharma – Global Account Solutions Architect at AWS Before we introduced partition placement groups, customers deployed large distributed and replicated workloads across multiple Availability Zones to reduce correlated failures. This new Amazon EC2 placement strategy helps reduce the likelihood […]

Running your game servers at scale for up to 90% lower compute cost

This post is contributed by Yahav Biran, Chad Schmutzer, and Jeremy Cowan, Solutions Architects at AWS Many successful video games such Fortnite: Battle Royale, Warframe, and Apex Legends use a free-to-play model, which offers players access to a portion of the game without paying. Such games are no longer low quality and require premium-like quality. […]

Running high-scale web applications on Amazon EC2 Spot Instances

NOTE: Amazon EC2 Auto Scaling groups now lets you mix On-Demand, Spot and RIs, as well as different instance types, as described here. In the architecture described below, the Spot Fleet component can be replaced by an EC2 Auto Scaling groups. Contributed by Ran Sheinberg, Spot Specialist Solutions Architect, and the Appnext team At re:Invent […]

Run your Kubernetes Workloads on Amazon EC2 Spot Instances with Amazon EKS

Contributed by Madhuri Peri, Sr. EC2 Spot Specialist SA, and Shawn OConnor, AWS Enterprise Solutions Architect Update – June 30, 2020: As we continue to improve how Amazon EKS and Spot Instances work together, best practices change. Please read this blog for the latest best practices on how to use Amazon EKS with Spot Instances. […]

Deploying a 4x4K, GPU-backed Linux desktop instance on AWS

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services AWS currently supports many managed des­ktop delivery mechanisms. Amazon WorkSpaces and Amazon AppStream 2.0 both deliver managed Windows-based machine images with GPU-backed instances. However, many desktop services and applications are better served through a Linux backed instance. Given the variety of Linux distributions as well […]

New Amazon EC2 Spot pricing model: Simplified purchasing without bidding and fewer interruptions

Contributed by Deepthi Chelupati and Roshni Pary Amazon EC2 Spot Instances offer spare compute capacity in the AWS Cloud at steep discounts. Customers—including Yelp, NASA JPL, FINRA, and Autodesk—use Spot Instances to reduce costs and get faster results. Spot Instances provide acceleration, scale, and deep cost savings to big data workloads, containerized applications such as […]