AWS Compute Blog
Category: Serverless
Creating a single-table design with Amazon DynamoDB
This post looks at implementing common relational database patterns using DynamoDB. Instead of using multiple tables, the single-table design pattern can use adjacency lists to provide many-to-many relational functionality.
Building well-architected serverless applications: Regulating inbound request rates – part 1
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 REL1: […]
Introducing AWS SAM Pipelines: Automatically generate deployment pipelines for serverless applications
Today, AWS announces the public preview of AWS SAM Pipelines, a new capability of AWS Serverless Application Model (AWS SAM) CLI. AWS SAM Pipelines makes it easier to create secure continuous integration and deployment (CI/CD) pipelines for your organizations preferred continuous integration and continuous deployment (CI/CD) system. This blog post shows how to use AWS […]
Building well-architected serverless applications: Implementing application workload security – 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. Security question SEC3: […]
Coming soon: Expansion of AWS Lambda states to all functions
Update – December 20, 2021: We’re extending the General Update from December 5 2021 to January 31 2022. The End of Delayed Update date is now also changed to February 1 2022. Update – October 8, 2021: We’re extending the General Update from September 30 2021 to December 5 2021. The End of Delayed Update […]
Understanding data streaming concepts for serverless applications
In this post, I introduce some of the core streaming concepts for serverless applications. I explain some of the benefits of streaming architectures and how Kinesis works with producers and consumers. I compare different ways to ingest data, how streams are composed of shards, and how partition keys determine which shard is used. Finally, I explain the payload formats at the different stages of a streaming workload, how message ordering works with shards, and why idempotency is important to handle.
Integrating Amazon API Gateway private endpoints with on-premises networks
This post was written by Ahmed ElHaw, Sr. Solutions Architect Using AWS Direct Connect or AWS Site-to-Site VPN, customers can establish a private virtual interface from their on-premises network directly to their Amazon Virtual Private Cloud (VPC). Hybrid networking enables customers to benefit from the scalability, elasticity, and ease of use of AWS services while […]
Using serverless to load test Amazon API Gateway with authorization
This post was written by Ashish Mehra, Sr. Solutions Architect and Ramesh Chidirala, Solutions Architect Many customers design their applications to use Amazon API Gateway as the front door and load test their API endpoints before deploying to production. Customers want to simulate the actual usage scenario, including authentication and authorization. The load test ensures […]
Developing evolutionary architecture with AWS Lambda
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.
Translating content dynamically by using Amazon S3 Object Lambda
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.