AWS Compute Blog

Tag: Amazon DynamoDB

An architectural diagram of the application.

Building a serverless document scanner using Amazon Textract and AWS Amplify

This guide demonstrates creating and deploying a production ready document scanning application. It allows users to manage projects, upload images, and generate a PDF from detected text. The sample can be used as a template for building expense tracking applications, handling forms and legal documents, or for digitizing books and notes. The frontend application is […]

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AWS Lambda function versions and aliases

Building well-architected serverless applications: Approaching application lifecycle management – part 2

This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the nine serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the Introduction post for a table of contents and explanation of the example application. Question OPS2: […]

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A calendar of the January, February, and March.

ICYMI: Serverless Q1 2020

Welcome to the ninth edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of 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 […]

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Building a serverless URL shortener app without AWS Lambda – part 3

This is the final installment of a three-part series on building a serverless URL shortener without using AWS Lambda. This series highlights the power of Amazon API Gateway and its ability to directly integrate with services like Amazon DynamoDB. The result is a low latency, highly available application that is built with managed services and […]

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Building a serverless URL shortener app without AWS Lambda – part 1

When building applications, developers often use a standard multi-tier architecture pattern that generally includes a presentation, processing, and data tier. When building such an application using serverless technologies on AWS, it might look like the following: In this three-part series, I am going to challenge you to approach this a different way by building a […]

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Chris Munns presenting 'Building microservices with AWS Lambda' at re:Invent 2019

ICYMI: Serverless Q4 2019

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 […]

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A collection of various ESP32 development boards.

Building an AWS IoT Core device using AWS Serverless and an ESP32

Using a simple Arduino sketch, an AWS Serverless Application Repository application, and a microcontroller, you can build a basic serverless workflow for communicating with an AWS IoT Core device. A microcontroller is a programmable chip and acts as the brain of an electronic device. It has input and output pins for reading and writing on […]

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AWS re:Invent

ICYMI: Serverless pre:Invent 2019

With Contributions from Chris Munns – Sr Manager – Developer Advocacy – AWS Serverless The last two weeks have been a frenzy of AWS service and feature launches, building up to AWS re:Invent 2019. As there has been a lot announced we thought we’d ship an ICYMI post summarizing the serverless service specific features that […]

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Default asynchronous invocation retry logs

New AWS Lambda controls for stream processing and asynchronous invocations

Today AWS Lambda is introducing new controls for asynchronous and stream processing invocations. These new features allow you to customize responses to Lambda function errors and build more resilient event-driven and stream-processing applications. Stream processing function invocations When processing data from event sources such as Amazon Kinesis Data Streams, and Amazon DynamoDB Streams, Lambda reads […]

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Configuring the Parallelization Factor from the AWS Lambda console.

New AWS Lambda scaling controls for Kinesis and DynamoDB event sources

AWS Lambda is introducing a new scaling parameter for Amazon Kinesis Data Streams and Amazon DynamoDB Streams event sources. Parallelization Factor can be set to increase concurrent Lambda invocations for each shard, which by default is 1. This allows for faster stream processing without the need to over-scale the number of shards, while still guaranteeing […]

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