Category: Amazon Simple Storage Services (S3)

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 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. Question OPS2: […]

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.

This blog post provides recommendations for designing and managing code repositories in larger serverless projects, and best practices for deploying releases of production systems.

The standard S3 to Lambda integration enables developers to deploy code that responds to bucket- or object-based events. Using Amazon EventBridge, you can employ even more sophisticated routing and filtering of events between S3 and Lambda.

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 […]

This blog post shows how you can use an event-based architecture to decouple services and functional areas of applications. It uses the document repository solution as an example, to compare architecture after shifting to an event-based approach.

In this blog post, I show how to use a serverless application to build and manage enterprise workflows at scale. This minimal-code solution is highly scalable and flexible, and can be modified easily to meet your needs.

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.

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 processing these files at scale. In this blog post, I show how you can deploy […]

Many businesses operate call centers that record conversations with customers for training or regulatory purposes. These vast collections of audio offer unique opportunities for improving customer service. However, since audio data is mostly unsearchable, it’s usually archived in these systems and never analyzed for insights. Developing machine learning models for accurately understanding and transcribing speech […]