Category: Serverless

This post written by Kurt Tometich, Senior Solutions Architect, AWS. Developers have been using the AWS Serverless Application Model (AWS SAM) to streamline the development of serverless applications with AWS since late 2018. Besides making it easier to create, build, test, and deploy serverless applications, AWS SAM now further simplifies permission management between serverless components […]

SQS now provides server-side encryption (SSE) using SQS-owned encryption (SSE-SQS) by default. This enhancement makes it easier to create SQS queues, while greatly reducing the operational burden and complexity involved in protecting data.

Welcome to the 19th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, check out what happened […]

This post is written by Mansi Y Doshi, Consultant and Aditya Goteti, Sr. Lead Consultant. Enterprises are modernizing and migrating their applications to the AWS Cloud to improve scalability, reduce cost, innovate, and reduce time to market new features. Legacy applications are often built with RDBMS as the only backend solution. Modernizing legacy Java applications […]

In this two-part article, you learn if it is possible to migrate a non-serverless web application to a serverless environment without changing much code. You learn different tools that can help you in this process, like AWS Lambda Web Adaptor and AWS Amplify, and how to solve some of the typical challenges that we have, like storage and authentication.

In this article, you learn if it is possible to migrate a non-serverless web application to a serverless environment without changing much code. You learn different tools that can help you in this process, like the AWS Lambda Web Adaptor and AWS Amplify.

This post shows how message data protection enables a topic owner to discover and protect sensitive data that is exchanged through SNS topics. The example shows how to create a data protection policy that generates audit reports for sensitive data and blocks messages from delivery to specific subscribers if the payload contains sensitive data.

Developers use AWS Step Functions, a low-code visual workflow service to build distributed applications, automate IT and business processes, and orchestrate AWS services with minimal code. Step Functions Amazon States Language (ASL) provides a set of functions known as intrinsics that perform basic data transformations. Customers have asked for additional intrinsics to perform more data […]

Builders create AWS Step Functions workflows to orchestrate multiple services into business-critical applications with minimal code. Customers are looking for best practices and guidelines to build cost-effective workflows with Step Functions. This blog post explains the difference between Standard and Express Workflows. It shows the cost of running the same workload as Express or Standard […]

This blog post shows how AWS Controllers for Kubernetes enables you to deploy a Lambda function directly from your Amazon EKS environment. AWS Controllers for Kubernetes provides a convenient way to connect your Kubernetes applications to AWS services directly from Kubernetes.