Category: Technical How-to

Starting today, Greengrass ML inference includes a pre-built Chainer package for all devices powered by Intel Atom, NVIDIA Jetson TX2, and Raspberry Pi. So, you don’t have to build and configure the ML framework for your devices from scratch. With this launch, we now provide pre-built packages for three popular machine learning frameworks including TensorFlow, […]

Update: AWS IoT Core has simplified the connection process—devices no longer need to implement the Transport Layer Security (TLS) Application Layer Protocol Negotiation (ALPN) extension to determine authentication type and protocol. This means that client devices can connect to AWS IoT Core with MQTT over port 443 without implementing ALPN. For additional details, please refer […]

In an earlier blog post about just-in-time registration of device certificates, we discussed how just-in-time registration (JITR) can be used to activate device certificates and attach policies to the certificates immediately after the device is auto-registered. JITR triggers a registration event. You must create an AWS IoT Core rule to listen for the registration event […]

In this blog post, we will simulate a common business scenario to show you how to use the group policy feature in AWS IoT Device Management. Specifically, we will describe: How to create a hierarchical group structure and assign your IoT devices to different groups. How to publish messages to different IoT devices based on […]

The AWS IoT Core service now allows you to connect devices using MQTT with TLS client authentication on port 443.  Previously this combination of protocol and authentication mechanism was only supported on port 8883.  So what’s the big deal? Read on to learn more about how this feature makes it easier to connect your devices […]

Shane Baldacchino is a Solutions Architect at Amazon Web Services. Customers have been asking how compute at the edge can be coupled with AWS services to advance maintenance maturity in their organization. In this blog post, we will examine maintenance maturity through the lens of something very common: elevators. We will show how you can […]

Introduction The Internet of Things (IoT) offers the potential for data acquisition and digital interaction in areas previously inaccessible at an unprecedented scale. The magnitude of this opportunity affects individuals, organizations, and governments in many different ways. In manufacturing, for example, many makers of existing products are racing to integrate connected features into their offerings […]

Update (2025): Amazon Kinesis Data Analytics for SQL Applications is retiring in 2026. Customers should migrate workloads to Amazon Managed Service for Apache Flink or Flink Studio. Please see the migration guide for additional details and step-by-step instructions.  In response to massive technological changes that are transforming the global automotive industry, the AWS Solutions team […]

This blog is no longer relevant, please refer to this post for updated information and guidance.  Post by Marcos Ortiz, an AWS Solutions Architect The AWS IoT platform allows you to use substitution templates to augment the JSON data returned when a rule is triggered and AWS IoT performs a rule action. The syntax for a substitution template […]

Welcome to another installment in the Bites of IoT blog series. In this bite, we will use AWS CloudFormation, the AWS IoT rules engine, and AWS Lambda to automate the setup and teardown of two AWS IoT rules.  You can use the AWS IoT console to create and edit rules by hand, but in production you might want to […]