The Internet of Things on AWS – Official Blog
Category: Technical How-to
AWS IoT Greengrass now enables simplified deployments, enhanced security, and greater flexibility
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 […]
Using Dynamic Thing Groups to Continuously Update Software on Devices
When managing Internet of Things (IoT) devices, it can be challenging to maintain or improve device functionality through upgrades to device software and configuration. The complexity is due to a number of factors: the number of devices, multiple versions of the devices, different software versions based on device attributes and state, inability to discover and […]
Containerize your IOT application with AWS IOT Analytics
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. […]
Connect your devices to AWS IoT using LoRaWAN
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 […]
Configuring Cognito User Pools to Communicate with AWS IoT Core
AWS IoT Core supports certificate-based mutual authentication, custom authorizers, and Amazon Cognito Identity as way to authenticate requests to the AWS IoT device gateway. Amazon Cognito User Pools was made generally available last year. It allows customers to easily add user sign up and sign in to mobile and web apps. You can use Cognito […]
Detect anomalies on connected devices using AWS IoT Device Defender
We often see security breaches depicted in media and popular culture. In the HBO series Silicon Valley, a compromised refrigerator is used by hacker Gilfoyle to run a malicious piece of software. The reality of connected devices isn’t very different from this fictitious scenario. The compromised refrigerator can send consumer data to unauthorized endpoints. Connected […]
How AWS IoT Core is Helping Customers Navigate the Upcoming Distrust of Symantec Certificate Authorities
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 […]
Ensure Secure Communication with AWS IoT Core Using the Certificate Vending Machine Reference Application
X.509 certificates are used to ensure secure communication between IoT devices and AWS IoT Core. Devices use these certificates to connect to AWS IoT Core using TLS mutual authentication. AWS IoT Core uses TLS mutual authentication to encrypt data as it moves between AWS IoT Core and other devices or other AWS services. A X.509 certificate […]
Using Continuous Jobs with AWS IoT Device Management
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 […]
Using Chainer Neural Network Framework with AWS Greengrass ML Inference
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, […]