AWS News Blog

Category: AWS IoT Greengrass

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New – Securely manage your AWS IoT Greengrass edge devices using AWS Systems Manager

In 2020, we launched AWS IoT Greengrass 2.0, an open-source edge runtime and cloud service for building, deploying, and managing device software and applications. Today, we’re very excited to announce the ability to securely manage your AWS IoT Greengrass edge devices using AWS Systems Manager (SSM). Managing vast fleets of varying systems and applications remotely […]

Announcing AWS IoT Greengrass 2.0 – With an Open Source Edge Runtime and New Developer Capabilities

I am happy to announce AWS IoT Greengrass 2.0, a new version of AWS IoT Greengrass that makes it easy for device builders to build, deploy, and manage intelligent device software. AWS IoT Greengrass 2.0 provides an open source edge runtime, a rich set of pre-built software components, tools for local software development, and new […]

New – AWS IoT Greengrass Adds Container Support and Management of Data Streams at the Edge

AWS IoT Greengrass extends cloud capabilities to edge devices, so that they can respond to local events in near real-time, even with intermittent connectivity. Today, we are adding two features that make it easier to build IoT solutions: Container support to deploy applications using the Greengrass Docker application deployment connector. Collect, process, and export data streams from […]

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Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere

Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such […]

Amazon SageMaker Updates – Tokyo Region, CloudFormation, Chainer, and GreenGrass ML

Today, at the AWS Summit in Tokyo we announced a number of updates and new features for Amazon SageMaker. Starting today, SageMaker is available in Asia Pacific (Tokyo)! SageMaker also now supports CloudFormation. A new machine learning framework, Chainer, is now available in the SageMaker Python SDK, in addition to MXNet and Tensorflow. Finally, support […]

New – Machine Learning Inference at the Edge Using AWS Greengrass

What happens when you combine the Internet of Things, Machine Learning, and Edge Computing? Before I tell you, let’s review each one and discuss what AWS has to offer. Internet of Things (IoT) – Devices that connect the physical world and the digital one. The devices, often equipped with one or more types of sensors, […]

AWS IoT, Greengrass, and Machine Learning for Connected Vehicles at CES

Last week I attended a talk given by Bryan Mistele, president of Seattle-based INRIX. Bryan’s talk provided a glimpse into the future of transportation, centering around four principle attributes, often abbreviated as ACES: Autonomous – Cars and trucks are gaining the ability to scan and to make sense of their environments and to navigate without […]