AWS Compute Blog

Category: Amazon EC2

Processing batch jobs quickly, cost-efficiently, and reliably with Amazon EC2 On-Demand and Spot Instances

This post is contributed by Alex Kimber, Global Solutions Architect No one asks for their High Performance Computing (HPC) jobs to take longer, cost more, or have more variability in the time to get results. Fortunately, you can combine Amazon EC2 and Amazon EC2 Auto Scaling to make the delivery of batch workloads fast, cost-efficient, […]

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Managing domain membership of dynamic fleet of EC2 instances

This post is written by Alex Zarenin, Senior AWS Solution Architect, Microsoft Tech. 1.   Introduction For most companies, a move of Microsoft workloads to AWS starts with “lift and shift” where existing workloads are moved from the on-premises data centers to the cloud. These workloads may include WEB and API farms, and a fleet of […]

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Running Java applications on Amazon EC2 A1 instances with Amazon Corretto

This post is contributed by Jeff Underhill | EC2 Principal Business Development Manager and Arthur Petitpierre | Arm Specialist Solutions Architect   Amazon EC2 A1 instances deliver up to 45% cost savings for scale-out applications and are powered by AWS Graviton Processors that feature 64-bit Arm Neoverse cores and custom silicon designed by AWS. Amazon Corretto is […]

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Optimizing for cost, availability and throughput by selecting your AWS Batch allocation strategy

This post is contributed by Steve Kendrex, Senior Technical Product Manager, AWS Batch   Introduction   AWS offers a broad range of instances that are advantageous for batch workloads. The scale and provisioning speed of AWS’ compute instances allow you to get up and running at peak capacity in minutes without paying for downtime. Today, I’m […]

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Leveraging Elastic Fabric Adapter to run HPC and ML Workloads on AWS Batch

Leveraging Elastic Fabric Adapter to run HPC and ML Workloads on AWS Batch  This post is contributed by  Sean Smith, Software Development Engineer II, AWS ParallelCluster & Arya Hezarkhani, Software Development Engineer II, AWS Batch and HPC   On August 2, 2019, AWS Batch announced support for Elastic Fabric Adapter (EFA). This enables you to run highly […]

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Automating Notifications Solutions Overview

Automating notifications when AMI permissions change

This post is courtesy of Ernes Taljic, Solutions Architect and Sudhanshu Malhotra, Solutions Architect This post demonstrates how to automate alert notifications when users modify the permissions of an Amazon Machine Image (AMI). You can use it as a blueprint for a wide variety of alert notifications by making simple modifications to the events that you […]

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Automating your lift-and-shift migration at no cost with CloudEndure Migration

This post is courtesy of Gonen Stein, Head of Product Strategy, CloudEndure  Acquired by AWS in January 2019, CloudEndure offers a highly automated migration tool to simplify and expedite rehost (lift-and-shift) migrations. AWS recently announced that CloudEndure Migration is now available to all customers and partners at no charge. Each free CloudEndure Migration license provides 90 […]

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Sharing automated blueprints for Amazon ECS continuous delivery using AWS Service Catalog

This post is contributed by Mahmoud ElZayet | Specialist SA – Dev Tech, AWS   Modern application development processes enable organizations to improve speed and quality continually. In this innovative culture, small, autonomous teams own the entire application life cycle. While such nimble, autonomous teams speed product delivery, they can also impose costs on compliance, […]

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Optimizing NGINX load balancing on Amazon EC2 A1 instances

This post is contributed by Geoff Blake | Sr System Development Engineer In a previous post, Optimizing Network Intensive Workloads on Amazon EC2 A1 Instances, I provided general guidance on tuning network-intensive workloads on A1 instances using Memcached as the example use case. NGINX is another network-intensive application that, like Memcached, is a good fit for […]

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Introducing the capacity-optimized allocation strategy for Amazon EC2 Spot Instances

AWS announces the new capacity-optimized allocation strategy for Amazon EC2 Auto Scaling and EC2 Fleet. This new strategy automatically makes the most efficient use of spare capacity while still taking advantage of the steep discounts offered by Spot Instances. It’s a new way for you to gain easy access to extra EC2 compute capacity in […]

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