AWS Compute Blog
Choosing the right solution for AWS Lambda external parameters
This post is written by Thomas Moore, Solutions Architect, Serverless. When using AWS Lambda to build serverless applications, customers often need to retrieve parameters from an external source at runtime. This allows you to share parameter values across multiple functions or microservices, providing a single source of truth for updates. A common example is retrieving […]
Choosing between storage mechanisms for ML inferencing with AWS Lambda
This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based on the input parameters. This blog post walks through the architecture […]
Building a difference checker with Amazon S3 and AWS Lambda
This blog post shows how to create a scalable difference checking tool for objects stored in S3 buckets. The Lambda function is invoked when S3 writes new versions of an object to the bucket. This example also shows how to remove earlier versions of object and define a set number of versions to retain.
Avoiding recursive invocation with Amazon S3 and AWS Lambda
It’s best practice to store the output of the Lambda function in a different bucket or AWS resource than the source bucket. In cases where you need to store the processed object in the same bucket, I show three different designs to help minimize the risk of recursive invocations.
Creating a serverless face blurring service for photos in Amazon S3
A serverless face blurring service can provide a simpler way to process photos in workloads with large amounts of traffic. This post introduces an example application that blurs faces when images are saved in an S3 bucket. The S3 PutObject event invokes a Lambda function that uses Amazon Rekognition to detect faces and GraphicsMagick to process the images.
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 well-architected serverless applications: Optimizing application costs
This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table of contents and explanation of the example application. COST 1. How […]
Building well-architected serverless applications: Building in resiliency – part 2
This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table of contents and explanation of the example application. Reliability question REL2: […]
Building a serverless multiplayer game that scales: Part 2
This post shows how you can add scaling support for a game via automation. The example uses Amazon Rekognition to check images for unacceptable content and uses asynchronous architecture patterns with Step Functions and HTTP WebPush.