Category: Serverless

This post shows how you can evolve a workload using hexagonal architecture. It explains how to add new functionality, change underlying infrastructure, or port the code base between different compute solutions. The main characteristics enabling this are loose coupling and strong encapsulation.

This blog post shows how you can use S3 Object Lambda with Amazon Translate to simplify dynamic content translation by using a data driven approach. With user-provided data as arguments, you can dynamically transform content in S3 and generate a new object.

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. Security question SEC3: […]

A review of everything that happened in AWS Serverless in Q2 2021.

This post was written by Diggory Briercliffe, Senior IoT Architect. When implementing a task queue, you can use Amazon SQS standard or FIFO (First-In-First-Out) queue types. Both queue types give priority to tasks created earlier over tasks that are created later. However, there are use cases where you need a LIFO (Last-In-First-Out) queue. This post […]

This post written by Eddie Pick, AWS Senior Solutions Architect – Startups and Scott Perry, AWS Senior Specialist Solutions Architect – AI/ML Hugging Face Transformers is a popular open-source project that provides pre-trained, natural language processing (NLP) models for a wide variety of use cases. Customers with minimal machine learning experience can use pre-trained models […]

This series 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 nine 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. Security question SEC2: How do […]

In this post, I show how the existing settings in the Alleycat application are not sufficient for handling the expected amount of traffic. I walk through the metrics visualizations for Kinesis Data Streams, Lambda, and DynamoDB to find which quotas should be increased.

This post is written by Gopi Krishnamurthy, Senior Solutions Architect. Continuous integration and continuous deployment (CI/CD) is one of the major DevOps components. This allows you to build, test, and deploy your applications rapidly and reliably, while improving quality and reducing time to market. GitHub is an AWS Partner Network (APN) with the AWS DevOps […]

This post written by Sean Wilkinson, Machine Learning Specialist Solutions Architect, and Newton Jain, Senior Product Manager for Lambda After designing and training machine learning models, data scientists deploy the models so applications can use them. AWS Lambda is a compute service that lets you run code without provisioning or managing servers. Lambda’s pay-per-request billing, automatic […]