Tag: internet of things

Introduction Visualizing IoT data that can vary significantly over short periods of time (seconds) is important for several reasons: exploration and discovery of patterns, assessing trends and cyclicity, as well as observing potential correlations and anomalies. Insightful time-series visualizations can help identify anomalies, raise alerts based on these anomalies, and improve communication between various stakeholders, […]

With the introduction of the AWS IoT Greengrass Image Classification connector at this year’s re:Invent, it has become easier than ever to use image classification at the edge through AWS IoT Greengrass. Because it is software that lives on a local device, AWS IoT Greengrass makes it possible to analyze data closer to the source […]

AWS IoT Greengrass allows you to bring local compute, messaging, data caching, sync, and ML inference capabilities to edge devices. Our newest release introduces features that simplify the deployment of Lambda functions to Greengrass, provide more flexibility so you can deploy Greengrass to new environments, and add easy-to-use security capabilities. Starting today, you can use […]

AWS re:Invent 2018 is almost here! As you plan your agenda, we don’t want you to miss any IoT sessions. This year we have a lot of great technical content about our IoT services as well as use case specific sessions for industrial and the connected home – over 100 breakout sessions, hands-on workshops, deep-dive […]

Overview In an earlier blog post about IoT Analytics, we discussed how AWS IoT Analytics enables you to collect, visualize, process, query and store large amounts of time series data generated from your connected devices. In this blog post, I will show how you can use your custom application to interact with AWS IoT Analytics. […]

4/15/21 AWS IoT Editorial Team Update:  Since the time of this blog post, we have announced AWS IoT Core for LoRaWAN. AWS IoT Core for LoRaWAN is a fully-managed feature that allows you to connect and manage wireless devices that use LoRaWAN connectivity with the AWS Cloud. Using AWS IoT Core for LoRaWAN, enterprises can setup […]

NOTE: This blog post describes important public key infrastructure (PKI) issues related to browser and mobile application connectivity to AWS IoT Core. For information about public key certificates and TLS, see Chain of Trust and Certificate Authorities in High Performance Browser Networking. Overview Google, Apple, and Mozilla have announced that, starting October, 2018, they will […]

In an earlier Using Over-the-Air Updates with AWS IoT Device Management blog post, we showed you how to create a simple AWS IoT snapshot job and track its progress. In this post, we will show you step-by-step how to configure and create an AWS IoT continuous job. A continuous job is a long running job […]

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, […]

Application Layer Protocol Negotiation (ALPN) is an extension to TLS that enables clients connecting to a TLS server to pass an extra parameter, known as a ProtocolNameList. The ProtocolNameList is a preference-ordered list of the application protocols that the client would like to use to communicate. AWS IoT Core now allows you to connect devices […]