Category: Amazon Simple Queue Service (SQS)

Messaging is an important part of serverless applications and AWS services provide queues, publish/subscribe, and event routing capabilities. This post reviews the main features of SNS, SQS, and EventBridge and how they provide different capabilities for your workloads.

Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency. By persisting the data before processing, the original data is still available, if or when errors occur. Common pattern for […]

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 developers learn more about SAM, I created a weekly Twitch series called Sessions with SAM. Each session focuses on a specific serverless task […]

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 […]

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 […]

In this post, I introduce the Ask Around Me example web application. Learn to build a serverless realtime, Vue.js web app in part 1 of this series.

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.

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 […]

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.

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 […]