AWS Compute Blog
Category: Serverless
Building well-architected serverless applications: Managing application security boundaries – 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. Security question SEC2: […]
Building leaderboard functionality with serverless data analytics
In this post, I explain the all-time leaderboard logic in the Alleycat application. This is an asynchronous, eventually consistent process that checks batching of incoming records for new personal records. This uses Kinesis Data Firehose to provide a zero-administration way to deliver and process large batches of records continuously.
Prototyping at speed with AWS Step Functions new Workflow Studio
AWS recently introduced Workflow Studio for AWS Step Functions. This is a new visual builder for creating Step Functions workflows in the AWS Management Console. This post shows how to use the Workflow Studio for rapid workflow prototyping. It also explains how to transition to local development, integrating the prototype with your infrastructure as code […]
Exploring serverless patterns for Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database. In this post, you learn about the different DynamoDB patterns used in serverless applications, and use the recently launched Serverless Patterns Collection to configure DynamoDB as an event source for AWS Lambda. Benefits of using DynamoDB as a serverless developer DynamoDB is a serverless service that automatically […]
Building serverless applications with streaming data: Part 3
In this post, I explain the all-time leaderboard logic in the Alleycat application. This is an asynchronous, eventually consistent process that checks batching of incoming records for new personal records. This uses Kinesis Data Firehose to provide a zero-administration way to deliver and process large batches of records continuously.
Getting started with serverless for developers part 5: Sandbox developer account
This is part 5 of the Getting started with serverless series. In part 4, you learn how the developer workflow for building serverless applications differs to a traditional developer workflow. You see how to test business logic locally before deploying to an AWS account. In this post, you learn how to secure and manage access […]
Announcing migration of the Java 8 runtime in AWS Lambda to Amazon Corretto
Beginning July 19, 2021, the Java 8 managed runtime in AWS Lambda will migrate from the current Open Java Development Kit (OpenJDK) implementation to the latest Amazon Corretto implementation.
Building serverless applications with streaming data: Part 2
This post focuses on ingesting data into Kinesis Data Streams. I explain the two approaches used by the Alleycat frontend and the simulator application and highlight other approaches that you can use. I show how messages are routed to shards using partition keys. Finally, I explore additional factors to consider when ingesting data, to improve efficiency and reduce cost.
Getting Started with serverless for developers: Part 4 – Local developer workflow
This blog is part 4 of the “Getting started with serverless for developers” series, helping developers start building serverless applications from their IDE. Many “getting started” guides demonstrate how to build serverless applications from within the AWS Management Console. However, most developers spend the majority of their time building from within their local integrated development […]
Setting up AWS Lambda with an Apache Kafka cluster within a VPC
Using resources such as NAT Gateways and VPC endpoints with PrivateLink, you can ensure that your data remains secure while also granting access to resources such as Lambda to help you create a Kafka consumer application. This post provides some tips to help you set up a Lambda function using Kafka as a trigger. It also explains various options available to send data securely.









