Tag: AWS SAM

This blog post is written by, Santhosh Kumar Adapa, Database Consultant,  AWS WWCO ProServe,  Jeevan Shetty, Database Consultant, AWS WWCO ProServe, and Bhanu Ganesh Gudivada, Consultant  Databases, AWS WWCO ProServe. Customers who are running fleets of Amazon Elastic Compute Cloud (Amazon EC2) instances use advanced monitoring techniques to observe their operational performance. Capabilities like aggregated and […]

This post is courtesy of Tarun Kumar Mall, SDE at AWS. This post shows how to set up a multi-stage pipeline on a Jenkins host for a serverless application, using the AWS Serverless Application Model (AWS SAM). Overview This tutorial uses Jenkins Pipeline plugin. A commit to the main branch of the repository starts and […]

In this post, I explain how to use AWS Lambda layers and extensions with Lambda functions packaged and deployed as container images. Previously, Lambda functions were packaged only as .zip archives. This includes functions created in the AWS Management Console. You can now also package and deploy Lambda functions as container images. You can use […]

This post authored by Dhiraj Thakur and Sameer Goel, Solutions Architects at AWS. When building serverless web applications, it is common to use AWS Lambda functions as the compute layer for business logic. To manage canary releases, it’s best practice to use Lambda deployment preferences. However, if you use Amazon API Gateway service integrations instead […]

Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency. By persisting the data before processing, the original data is still available, if or when errors occur. Common pattern for […]

February 12, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Developers tell us they want to know how to easily build and manage their serverless applications. In 2017 AWS announced AWS Serverless Application Model (SAM) to help with just that. To help […]

This guide demonstrates an example solution for collecting, tracking, and sharing pulse oximetry data for multiple users. It’s built using AWS serverless technologies, enabling reliable scalability and security. The frontend application is written in VueJS and uses the Amplify Framework. It takes oxygen saturation measurements as manual input or a BerryMed pulse oximeter connected to […]

Update – February 22, 2022 : We have released AWS ParallelCluster version 3. It brings with it the new ParallelCluster API and a number of improvements and changes to functionality. Check the Changelog, Instructions for Moving from 2.x to 3.x, or the AWS ParallelCluster documentation for more. This post is contributed by Dario La Porta, […]

Amazon DynamoDB is a web-scale NoSQL database designed to provide low latency access to data. It’s well suited to many serverless applications as a primary data store, and fits into many common enterprise architectures. In this post, I show how you can import large amounts of data to DynamoDB using a serverless approach. This uses […]

Welcome to the eighth edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share 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, checkout what happened last quarter […]