Category: Internet of Things

Feed: The Internet of Things on AWS – Official Blog. Author: Eknath Venkataramani. AWS IoT Device Defender supports your efforts to secure your IoT device fleet. AWS IoT Device Defender Detect establishes a baseline behavior for IoT devices and then identifies devices that do not conform as anomalous. AWS IoT Device Defender Detect operates on security profiles, which are applied to the entire device fleet, or to a thing group. From a security standpoint, security profiles specify your IoT device’s expected behavior. We recommend that you group devices that are expected to behave similarly into a thing group. Next, you ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Michael Garcia. The IoT Foundation Series, a new curriculum dedicated to IoT on AWS, is now available online on the AWS Training and Certification website. This curriculum contains self-directed online training classes that are scenario-based and aligned with the library of IoT design patterns called the IoT Atlas and IoT best practices in AWS whitepapers.This curriculum is recommended for business decision makers, data engineers, device engineers, fleet managers, line-of-business developers, and security architects who want to get started with IoT and find out which AWS services to use. By ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Brett Francis. Since announcing the availability of AWS IoT in 2015, our conversations with customers have made it clear that long-standing IoT design patterns from mature domains such as as sensor networks, control system architectures, and machine-to-machine networks had to be revised to include cloud development concepts. The IoT Atlas is a collection of IoT designs available in an easy to use, searchable website (https://iotatlas.net). It updates and expands on industry designs by assuming that a hyper-scale cloud is available to those who are building IoT solutions. The IoT ... Read More

Feed: Featured Blog Posts - BigDataNews. Author: Vincent Granville. In a recent article (February 2019) published in Forkes (see here) it was argued that there will be no data science job titles by 2029. The author wrote that Automation is coming for many tasks data scientists perform, including machine learning. I disagree. If you haven't automated most of your tasks yet, you are not doing data science, you are not a data scientist -- you are an overpaid data cruncher. Probably, for the non-initiated, data science still means performing long mundane tasks such as data cleaning, data processing, model or feature selection, ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Philipp Sacha. Customers are building globally distributed IoT solutions with AWS IoT. A device that connects to AWS IoT must be provisioned in an AWS Region. However, when devices are shipped globally, you don’t know in which AWS IoT Region the device will connect when it starts operation. In this blog post, I will describe a global AWS IoT device provisioning process.Provisioning an IoT device A device must be provisioned to work with AWS IoT Core. To provision a device: The device should be created as a thing in ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Catalin Vieru. IntroductionVisualizing 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, especially between data consumers and engineering. In this blog post, I will show how to accomplish three common time-series analytics tasks: Demonstrate how to process raw IoT data using native AWS IoT Analytics ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Ryan Burke. AWS CloudFormation support for AWS IoT Analytics resources was launched on December 18th, 2018. In this blog post, we introduce conventions for building IoT Analytics projects using CloudFormation and provide an array of sample templates to help you get started. As a refresher, every AWS IoT Analytics project has three required resources for data ingestion, and one or more optional resources for analyzing or visualizing your data. On the data ingestion side, each project will have a minimum of a channel, pipeline, and data store. Channels receive ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Mark Mevorah. In part 1 of this blog post, we created an image classification model for a recycling facility’s sorter to identify four beverage containers. We deployed it to our AWS IoT Greengrass Core device using the new AWS IoT Greengrass Image Classification connector. AWS IoT Greengrass connectors, announced at this year’s re:Invent, make it possible for IoT Greengrass Core devices to connect to third-party applications, on-premises software, and AWS services without writing code.At the end of part 1, we noticed that our beverage container predictions weren’t always correct ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Vikas Panghal. A question frequently asked by our customers in relation to our AWS IoT Analytics offering, is how to achieve a real-time dashboard of data flowing through IoT Analytics. In this blog, I’ll show you one pattern for achieving real-time metrics by utilizing Amazon CloudWatch and the AWS Lambda activity of a pipeline.I’ve simulated 25 smart pump devices that send messages continuously as I use them with IoT Device Simulator, a solution that that enables you to create and simulate hundreds of virtual connected devices, without having to ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Mark Mevorah. 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 (a sensor, etc). Using AWS IoT Greengrass connectors, AWS IoT Greengrass Core devices can connect to third-party applications, on-premises software, and AWS services without writing code. The AWS IoT Greengrass Image Classification ... Read More