AWS Compute Blog

Category: Amazon Simple Queue Service (SQS)

ICYMI: Season one of Sessions with SAM

February 12, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Developers tell us they want to know how to easily build and manage their serverless applications. In 2017 AWS announced AWS Serverless Application Model (SAM) to help with just that. To help […]

Combining multiple models in one application

Managing backend requests and frontend notifications in serverless web apps

Web and mobile applications usually interact with a backend service, often via an API. Many front-end applications pass requests for processing, wait for a result, and then display this to the user. This synchronous approach is only one way to handle messages, but modern applications have alternatives to provide a better user experience. There are […]

Answers processing architecture

Building a location-based, scalable, serverless web app – part 3

In part 2, I cover the API configuration, geohashing algorithm, and real-time messaging architecture used in the Ask Around Me web application. These are needed for receiving and processing questions and answers, and sending results back to users in real time. In this post, I explain the backend processing architecture, how data is aggregated, and […]

Lambda scaling up as events queue grows

Building scalable serverless applications with Amazon S3 and AWS Lambda

S3 and Lambda are two highly scalable AWS services that can be powerful when combined in serverless applications. In this post, I summarize many of the patterns shown across this series.

Architecture for the second example application.

Creating a scalable serverless import process for Amazon DynamoDB

Amazon DynamoDB is a web-scale NoSQL database designed to provide low latency access to data. It’s well suited to many serverless applications as a primary data store, and fits into many common enterprise architectures. In this post, I show how you can import large amounts of data to DynamoDB using a serverless approach. This uses […]

Decoupled translation architecture.

Translating documents at enterprise scale with serverless

Developing a scalable translation solution for thousands of documents can be challenging using traditional, server-based architecture. Using a serverless approach, this becomes much easier since you can use storage and compute services that scale for you.

Serverless architecture for text extraction and classification.

Creating a searchable enterprise document repository

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Enterprise customers frequently have repositories with thousands of documents, images and other media. While these contain valuable information for users, it’s often hard to index and search this content. One challenge is interpreting the data intelligently, and another issue is […]

Chris Munns presenting 'Building microservices with AWS Lambda' at re:Invent 2019

ICYMI: Serverless Q4 2019

Welcome to the eighth edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, checkout what happened last quarter […]

AWS re:Invent

ICYMI: Serverless pre:Invent 2019

With Contributions from Chris Munns – Sr Manager – Developer Advocacy – AWS Serverless The last two weeks have been a frenzy of AWS service and feature launches, building up to AWS re:Invent 2019. As there has been a lot announced we thought we’d ship an ICYMI post summarizing the serverless service specific features that […]