Category: AWS Lambda

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.

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.

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 […]

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.

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 […]

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.

In this post, I introduce the Alleycat racing application for processing streaming data. I explain the virtual racing logic and provide an overview of the application architecture. I summarize the deployment process for the different parts of the solution and show how to test the frontend once the deployment is complete.

AWS Lambda extensions are a new way to integrate Lambda more easily with your favorite monitoring, observability, security, and governance tools. With the general availability announcement, AWS is introducing performance and functionality improvements. The Lambda service now returns the response from the function as soon as the function code is complete without waiting for the […]

This post is written by Brian Zambrano, Enterprise Solutions Architect and Srinivasa Atta, Sr. Technical Account Manager With microservice architectures, multiple teams within an organization often build different parts of an application. Different teams may own functionality for a given business segment. An effective pattern to support this is a centrally managed public API. This […]

This post is the final part in a 3-part series on performance optimization in Lambda. The Lambda service makes frequent performance improvements in the underlying hardware, software, and architecture of the service. This post identifies the parts of the Lambda lifecycle where developers can make the most impact on performance.