Category: Serverless

This post is written by Daniel Lorch, Senior Consultant and David Mbonu, Senior Solutions Architect. Amazon Simple Notification Service (Amazon SNS), a messaging service that provides high-throughput, push-based, many-to-many messaging between distributed systems, microservices, and event-driven serverless applications, now supports active tracing with AWS X-Ray. With AWS X-Ray active tracing enabled for SNS, you can […]

This post is written by Rahul Popat (Senior Solutions Architect) and Aneel Murari (Senior Solutions Architect)  Today, AWS X-Ray is announcing support for SnapStart-enabled AWS Lambda functions. Lambda SnapStart is a performance optimization that significantly improves the cold startup times for your functions. Announced at AWS re:Invent 2022, this feature delivers up to 10 times faster function startup times for […]

Containerized applications often have several distinct environments and accounts, such as dev, test, and prod. An application has to go through a process of deployment and testing in these environments. One common pattern for deploying containerized applications is to have a central AWS create a single container image, and carry out deployment across other AWS accounts. To achieve automated deployment of the application across different environments, customers use CI/CD pipelines with familiar container tooling. This blog post explores how to use AWS Serverless Application Model (AWS SAM) Pipelines to create a CI/CD deployment pipeline and deploy a container-based Lambda function across multiple accounts.

The blog explains a way to integrate existing container workload running on AWS Fargate with a new event-driven architecture. You use EventBridge to decouple different services from each other that are built using different compute technologies, languages, and frameworks. Using AWS CDK, you gain the modularity of building services decoupled from each other.

This post was written by Mark Sailes, Senior Specialist Solutions Architect, Serverless. You can now develop AWS Lambda functions with the Amazon Corretto distribution of Java 17. This version of Corretto comes with long-term support (LTS), which means it will receive updates and bug fixes for an extended period, providing stability and reliability to developers […]

Builders can focus on creating customer value and differentiated features instead of complex networking in much the same way that Lambda allows you to focus on writing code. If you are interested in learning more about VPC Lattice, we recommend the VPC Lattice User Guide.

This blog is written by Poornima Chand, Senior Solutions Architect, Strategic Accounts and Giedrius Praspaliauskas, Senior Solutions Architect, Serverless. AWS Lambda functions allow both synchronous and asynchronous invocations, which both have different function behaviors and error handling: When you invoke a function synchronously, Lambda returns any unhandled errors in the function code back to the […]

Lambda offers a number of techniques that you can use to minimize infrastructure costs whether you are just getting started with Lambda or have numerous functions already deployed in production. When combined with the lower costs of initial development and ongoing maintenance, serverless can offer a low total cost of ownership.

You can build and deploy functions using Python 3.10 using the AWS Management Console, AWS CLI, AWS SDK, AWS SAM, AWS CDK, or your choice of Infrastructure as Code (IaC).

This post demonstrates techniques that can be used for running and profiling different types of Lambda extensions. This post focuses on Lambda extensions written in C# and Rust.