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AWS Lambda Container Image Support Tutorial

This is an example machine learning image recognition stack using AWS Lambda Container Images. Lambda container images can include more source assets than traditional ZIP packages (10 GB vs 250 MB image sizes), allowing for larger ML models to be used. This example contains an AWS Lambda function that uses the Open Images Dataset TensorFlow model to detect objects in an image.

re:Invent 2020 week 1: The Year of Serverless

The first keynote is over, the talks have started, and the AWS Heroes all got to feel motion-sick but appreciated in their AWS-supplied VR helmets. Good one Tom Here are my week 1 thoughts: Throughout the keynote it was clear that serverless is here to stay. One detail stood out to me above all others: Nearly half of all new compute workloads in Amazon in 2020 were Lambda based. During Andy Jassy’s keynote, a veritable wall of major customers that use Lambda.

AWS Lambda Meets Container Images

Serverless architectures are all about offloading as much operational overhead to the cloud as possible. For the past six years, this primarily meant writing business logic as small pieces of code (< 250MB in size) that are zipped up and given to the cloud to run on demand. This simple model deceptively belies the true power of serverless applications. Because modern applications are often composed of a set of small microservices, each compute resource can itself be minimal in size.

Your re:Invent 2020 Schedule

re:Invent 2020 is here and while you don't have to find Galileo 601 or Hall G it can still be a lot to manage. Our team combed through the massive re:Invent schedule to bring you the the most important sessions related to serverless, architecture, and DevOps. In addition to the Serverless Track and the Keynotes we recommend these particular sessions. If you need help putting your schedule together we love Cloud Pegboard!

Why we built a Jamstack site

Last month, inspired by JamstackConf I built Jamstackery.website. This mini-site runs on AWS, and is managed by our platform. Our hope is that this mini-site demonstrates the promise of an architecture that blends containers with functions, and all the supporting certificates, permissions, and resources necessary to provide a world-class infrastructure.