Category: Serverless

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 […]

Using Amazon EventBridge, you can now route events between different event buses in the same Region and same AWS account. Combined with the ability to route events cross-Region, this provides you with significant flexibility in routing events in your workloads. This blog post explains how to use event routing and walks through ways you can […]

This post is courtesy of Stephen Liedig, Sr Serverless Specialist SA. AWS Step Functions now integrates with Amazon EventBridge to provide a simpler solution for producing events during a workflow. Step Functions allows you to build resilient serverless orchestration workflows with AWS services such as AWS Lambda, Amazon SNS, Amazon DynamoDB, and more. Step Functions […]

The recently launched Serverless Patterns Collection is a repository of serverless examples that demonstrate integrating two or more AWS services. Each pattern uses either the AWS Serverless Application Model (AWS SAM) or AWS Cloud Development Kit (AWS CDK). These simplify the creation and configuration of the services referenced. The Serverless Patterns Collection is both an educational […]

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.

In this post, I show how the new shared memory support in AWS Batch is able to improve performance while decreasing the latency of the intra-node communication. This performance gain can also lower the cost of running jobs overall.

This post is the second in a 3-part series on performance optimization in Lambda. It explains the effect of the memory configuration on Lambda performance, and why the memory setting also controls the compute power and networking I/O available to a function.

Today AWS is announcing the public preview of AWS Serverless Application Model CLI (AWS SAM CLI) support for local development and testing of AWS Cloud Development Kit (AWS CDK) projects. AWS SAM and AWS CDK are both open-source frameworks for building applications using infrastructure as code (IaC). AWS SAM is template-based using JSON or YAML, […]

This post is the first in a 3-part series on performance optimization in Lambda. It explains how the Lambda execution environment works and why cold starts occur.