AWS Compute Blog
Category: *Post Types
Deep Dive on Amazon EC2 VT1 Instances
This post is written by: Amr Ragab, Senior Solutions Architect; Bryan Samis, Principal Elemental SSA; Leif Reinert, Senior Product Manager Introduction We at AWS are excited to announce that new Amazon Elastic Compute Cloud (Amazon EC2) VT1 instances are now generally available in the US-East (N. Virginia), US-West (Oregon), Europe (Ireland), and Asia Pacific (Tokyo) […]
Building ARM64 applications on AWS Graviton2 using the AWS CDK and Self-Hosted Runners for GitHub Actions
This post is written by Frank Dallezotte, Sr. Technical Account Manager, and Maxwell Moon, Sr. Solutions Architect AWS Graviton2 processors are custom built by AWS using the 64-bit Arm Neoverse cores to deliver great price performance for workloads running in Amazon Elastic Compute Cloud (Amazon EC2). These instances are powered by 64 physical core AWS […]
Use Amazon EC2 for cost-efficient cloud gaming with pay-as-you-go pricing
This post is written by Markus Ziller, Solutions Architect Since AWS launched in 2006, cloud computing disrupted traditional IT operations by providing a more cost-efficient, scalable, and secure alternative to owning hardware and data centers. Similarly, cloud gaming today enables gamers to play video games with pay-as-you go pricing. This removes the need of high […]
Building Modern Applications with Amazon EKS on Amazon Outposts
This post is written by Brad Kirby, Principal Outposts Specialist, and Chris Lunsford, Senior Outposts SA. Customers are modernizing applications by deconstructing monolithic architectures and migrating application components into container–based, service-oriented, and microservices architectures. Modern applications improve scalability, reliability, and development efficiency by allowing services to be owned by smaller, more focused teams. This post […]
Managing federated schema with AWS Lambda and Amazon S3
Schema Management is a non-trivial challenge in federated GQL systems. The highest risk to your system availability comes with the potential of introducing breaking schema change by one of the graphlets. Your system cannot serve any requests after that. There is the problem of the delayed feedback loop for the engineers working on schema changes and the impact of schema composition during runtime on the service latency.
Building federated GraphQL on AWS Lambda
A single, highly discoverable, and well-documented backend endpoint enabled our clients to experiment with the data available in the graph. We were able to clean up the backend API layer, introduce clear ownership boundaries, and give our client powerful tools to speed up their development cycle.
Optimize costs by up to 70% with new Amazon T3 Dedicated Hosts
This post is written by Andy Ward, Senior Specialist Solutions Architect, and Yogi Barot, Senior Specialist Solutions Architect. Customers have been taking advantage of Amazon Elastic Compute Cloud (Amazon EC2) Dedicated Hosts to enable them to use their eligible software licenses from vendors such as Microsoft and Oracle since the feature launched in 2015. Amazon EC2 Dedicated […]
Building a serverless GIF generator with AWS Lambda: Part 2
Part 2 of this blog post expands on some of the advanced topics around scaling Lambda in parallelized workloads. It explains how the asynchronous invocation mode of Lambda scales and different ways to scale the worker Lambda function.
Enabling parallel file systems in the cloud with Amazon EC2 (Part I: BeeGFS)
This post was authored by AWS Solutions Architects Ray Zaman, David Desroches, and Ameer Hakme. In this blog series, you will discover how to build and manage your own Parallel Virtual File System (PVFS) on AWS. In this post you will learn how to deploy the popular open source parallel file system, BeeGFS, using AWS […]
Building a serverless distributed application using a saga orchestration pattern
This post showed how to implement the saga orchestration pattern using API Gateway, Step Functions, Lambda, DynamoDB, and .NET Core 3.1. This can help maintain data integrity in distributed transactions across multiple services. Step Functions makes it easier to implement the orchestration in the saga pattern.