AWS Compute Blog
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Building a serverless URL shortener app without AWS Lambda – part 1
When building applications, developers often use a standard multi-tier architecture pattern that generally includes a presentation, processing, and data tier. When building such an application using serverless technologies on AWS, it might look like the following: In this three-part series, I am going to challenge you to approach this a different way by building a […]
Orchestrating a security incident response with AWS Step Functions
In this post I will show how to implement the callback pattern of an AWS Step Functions Standard Workflow. This is used to add a manual approval step into an automated security incident response framework. The framework could be extended to remediate automatically, according to the individual policy actions defined. For example, applying alternative actions, or […]
Orchestrating an application process with AWS Batch using AWS CloudFormation
This post is written by Sivasubramanian Ramani In many real work applications, you can use custom Docker images with AWS Batch and AWS CloudFormation to execute complex jobs efficiently. This post provides a file processing implementation using Docker images and Amazon S3, AWS Lambda, Amazon DynamoDB, and AWS Batch. In this scenario, the user […]
Accelerate migration and modernization of Windows Server workloads with AWS MAP for Windows
By Fred Wurden, GM Enterprise and Benchmarking AWS has spent the last 11 years working with you to migrate and run your Windows workloads on AWS, and gained valuable experience along the way. We’ve taken this learning and evolved our products, services, and programs to make AWS the best place to run Windows workloads. We […]
Decoupled Serverless Scheduler To Run HPC Applications At Scale on EC2
This post is written by Ludvig Nordstrom and Mark Duffield | on November 27, 2019 In this blog post, we dive in to a cloud native approach for running HPC applications at scale on EC2 Spot Instances, using a decoupled serverless scheduler. This architecture is ideal for many workloads in the HPC and EDA industries, and […]
A simpler deployment experience with AWS SAM CLI
The AWS Serverless Application Model (SAM) CLI provides developers with a local tool for managing serverless applications on AWS. The command line tool allows developers to initialize and configure applications, debug locally using IDEs like Visual Studio Code or JetBrains WebStorm, and deploy to the AWS Cloud. On November 25, we announced improvements to the […]
Running Cost-effective queue workers with Amazon SQS and Amazon EC2 Spot Instances
This post is contributed by Ran Sheinberg | Sr. Solutions Architect, EC2 Spot & Chad Schmutzer | Principal Developer Advocate, EC2 Spot | Twitter: @schmutze Introduction Amazon Simple Queue Service (SQS) is used by customers to run decoupled workloads in the AWS Cloud as a best practice, in order to increase their applications’ resilience. You […]
Deploying a highly available WordPress site on Amazon Lightsail, Part 2: Using Amazon S3 with WordPress to securely deliver media files
This post is contributed by Mike Coleman | Developer Advocate for Lightsail | Twitter: @mikegcoleman Introduction This is the second in a series of blog posts on how to build a highly-available WordPress site on Amazon Lightsail. If you’ve not read the first post in the series, Implementing a highly available Lightsail database, you will […]
Optimizing deep learning on P3 and P3dn with EFA
This post is written by Rashika Kheria, Software Engineer, Purna Sanyal, Senior Solutions Architect, Strategic Account and James Jeun, Sr. Product Manager, and Amr Ragab The Amazon EC2 P3dn.24xlarge instance is the latest addition to the Amazon EC2 P3 instance family, with upgrades to several components. This high-end size of the P3 family allows users to […]
Centralizing Windows Logs with Amazon Elasticsearch Services
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Cloud administrators often rely on centralized logging systems to better understand their environments, learn usage patterns, and identify future problems so that they can pre-emptively prevent them from occurring, or troubleshoot them more effectively. Of course, these are just some […]






