Category: AWS IoT Greengrass

Introduction  We are pleased to introduce the latest version of AWS Well-Architected IoT Lens. IoT projects can be complex due to a combination of many factors, including devices, software, use case scenarios, environments, processing patterns, network connectivity technologies, communication protocols, security issues, technical risks, compliance requirements and standards. The AWS Well-Architected IoT Lens provides simple […]

Introduction With the increasing proliferation of Industrial Internet of Things (IIoT) systems and cloud services for innovation and digital transformation, government agencies and industrial customers are faced with protecting an expanding attack surface. The ISA/IEC 62443 series of standards were written before IIoT technologies were common but provide a strong basis for securing these environments. […]

Introduction Organizations install hundreds of Internet Protocol (IP) cameras to increase security by surveilling indoor and outdoor spaces. This is a common need for manufacturing plant floors across industries such as automotive, commercial, Oil & Gas, public safety, and agri-tech. Companies connect cameras to the cloud to create a centralized view of their siloed data […]

Post by Angela Wang and Tanner McRae, Senior Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the third in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In the previous 2 parts of the series, we walked […]

Introduction In this post, we will be discussing how to manage Docker container lifecycle using an AWS IoT Greengrass custom component. There are five phases in a Docker container lifecycle: create, run, pause/unpause, stop, and kill. The custom component interacts with the Docker Engine via the Docker SDK for Python to manage processes based on […]

Introduction We are excited to announce that AWS IoT Core now supports MQTTv5 features that help enhance communications of large-scale device deployments and innovate device messaging patterns. Customers who already have MQTTv3.1.1 deployments can make use of the new MQTTv5 features as AWS IoT Core provides seamless integration between both versions and supports heterogeneous deployments […]

Introduction When devices are deployed behind restricted firewalls at remote sites, you need a way to gain access to those devices for troubleshooting, configuration updates, and other operational tasks. This is where, secure tunneling, a feature of AWS IoT Device Management has been helping customers to do remote tasks. To help elevate customers even further, AWS has […]

Introduction Machine learning (ML) at the edge requires powerful edge requires powerful edge devices with a unique set of requirements. The availability, safety, and security requirements for the edge differ from cloud since they are located at the customer site, outside the data center, and interface directly with operational technology (OT) and the internet. Since […]

Introduction Autonomous mobile robots (AMRs) are widely used in many industries like logistics and manufacturing. However, there are various challenges in developing and operating autonomous robots. To develop autonomous robots, a wide range of technologies are required, and the process is complex and time-consuming. Integration with the cloud is also required to develop and operate the robots […]

Introduction Many modern industrial operations require extensive monitoring and real-time decision making for efficiency and safety reasons. To reduce the unexpected network interruption and delay in IoT data processing, edge computing becomes a desirable option for real-time IoT data processing and monitoring. Edge computing is a system of micro computing/storage devices that are installed at […]