DEV Track Spotlight: Designing Local Generative AI Inference with AWS IoT Greengrass (DEV316) Learn how to design and operate local generative AI inference architectures from Kohei "Max" Matsushita (AWS Community Hero), featuring live demos with robotic arms, VLA models, and practical approaches...

🚀📝 DEV Track Spotlight: Designing Local Generative AI Inference with AWS IoT Greengrass (DEV316)

#PhysicalAI #AWSIoT #EdgeComputing #GenerativeAI #Robotics

AWS IoT Greengrass v2.16 introduces system log forwarder and TPM2.0 capabilities AWS announces the release of https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-release-2025-11-06.html, introducing new core components for nucleus and nucleus lite. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest version 2.16 release includes enhanced debugging capabilities through the system log forwarder component. This component uploads system log files to AWS Cloud Watch, making it easier for developers to troubleshoot IoT edge applications. The AWS IoT Greengrass v2.16 release also features a new nucleus lite version (v2.3) with TPM2.0 specification support, enabling developers to manage edge device security for their resource constrained devices using hardware-based root of trust modules. The implementation helps developers to scale their IoT deployments with confidence while providing secure storage for secrets and streamlined device authentication. AWS IoT Greengrass v2.16 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.16 and its new features, visit the AWS IoT Greengrass https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iot-greengrass.html Follow the Getting Started https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html for a quick introduction to AWS IoT Greengrass.

AWS IoT Greengrass v2.16 introduces system log forwarder and TPM2.0 capabilities

AWS announces the release of docs.aws.amazon.com/greengrass/v2/developerg... introducing new core components for nucleus and nucleus lite. AWS IoT Greengr...

#AWS #AwsIot

AWS IoT Greengrass v2.16 introduces system log forwarder and TPM2.0 capabilities AWS announces the release of AWS IoT Greengrass v2.16, introducing new core components for nucleus and nucleus lite. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest version 2.16 release includes enhanced debugging capabilities through the system log forwarder component. This component uploads system log files to AWS Cloud Watch, making it easier for developers to troubleshoot IoT edge applications. The AWS IoT Greengrass v2.16 release also features a new nucleus lite version (v2.3) with TPM2.0 specification support, enabling developers to manage edge device security for their resource constrained devices using hardware-based root of trust modules. The implementation helps developers to scale their IoT deployments with confidence while providing secure storage for secrets and streamlined device authentication. AWS IoT Greengrass v2.16 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.16 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.

🆕 AWS IoT Greengrass v2.16 adds system log forwarder and TPM2.0 support for enhanced debugging and secure edge device management, available in all regions. For details, see AWS IoT Greengrass documentation.

#AWS #AwsIot

Announcing an AI agent context pack for AWS IoT Greengrass developers AWS announces the release of a new AI agent context package for accelerating edge device application development using AWS IoT Greengrass. AWS IoT Greengrass is an IoT edge runtime and cloud service that helps developers build, deploy, and manage device software at the edge. The context package includes ready-to-use instructions, examples, and templates - enabling developers to leverage generative AI tools and agents for faster software creation, testing and deployment. Available as an open-source https://github.com/aws-greengrass/greengrass-agent-context-pack under the Creative Commons Attribution Share Alike 4.0 license, the AWS IoT Greengrass AI agent context package helps streamline development workflows. Developers can boost productivity by cloning the repository and integrating it with modern generative AI tools like Amazon Q to help accelerate cloud-connected edge application development while simplifying fleet-wide deployment and management. This new capability is available in all AWS Regions where AWS IoT Greengrass is supported. To learn more about AWS IoT Greengrass and its new AI agent context pack, visit the AWS IoT Greengrass https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iot-greengrass.html Follow the getting started https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html for a quick introduction to AWS IoT Greengrass.

Announcing an AI agent context pack for AWS IoT Greengrass developers

AWS announces the release of a new AI agent context package for accelerating edge device application development using AWS IoT Greengrass. AWS IoT Greengrass is an IoT edge runtime and cloud service that helps ...

#AWS #AwsIot

Announcing an AI agent context pack for AWS IoT Greengrass developers AWS announces the release of a new AI agent context package for accelerating edge device application development using AWS IoT Greengrass. AWS IoT Greengrass is an IoT edge runtime and cloud service that helps developers build, deploy, and manage device software at the edge. The context package includes ready-to-use instructions, examples, and templates - enabling developers to leverage generative AI tools and agents for faster software creation, testing and deployment. Available as an open-source GitHub repository under the Creative Commons Attribution Share Alike 4.0 license, the AWS IoT Greengrass AI agent context package helps streamline development workflows. Developers can boost productivity by cloning the repository and integrating it with modern generative AI tools like Amazon Q to help accelerate cloud-connected edge application development while simplifying fleet-wide deployment and management. This new capability is available in all AWS Regions where AWS IoT Greengrass is supported. To learn more about AWS IoT Greengrass and its new AI agent context pack, visit the AWS IoT Greengrass documentation. Follow the getting started guide for a quick introduction to AWS IoT Greengrass.

🆕 AWS releases an AI agent context pack for AWS IoT Greengrass to speed up edge device app development. The open-source package offers templates and examples to leverage generative AI tools, simplifying deployment and management. Available in all supported regions.

#AWS #AwsIot

AWS IoT SiteWise now supports retraining of anomaly detection models Today, AWS announced new capabilities for native anomaly detection in AWS IoT SiteWise. This release includes automated model retraining, flexible promotion modes, and exposed model metrics, all designed to enhance the anomaly detection feature. The automated retraining capability allows models to be automatically retrained on a schedule ranging from a minimum of 30 days to a maximum of one year, eliminating the need to manually retrain models. This feature ensures that models stay up-to-date with changing equipment conditions or configurations, thereby maintaining optimal performance over time. Additionally, flexible promotion modes give customers the choice between service-managed and customer-managed model promotion. Automatic promotion enables AWS IoT SiteWise to evaluate and promote the best-performing model without customer intervention, while manual promotion allows customers to review comprehensive, exposed model metrics—including precision, recall, and Area Under the ROC Curve (AUC)—before deciding which model version to activate. This flexibility allows choice between a hands-off or human oversight approach.  Multivariate anomaly detection is available in US East (N. Virginia) , Europe (Ireland) , and Asia Pacific (Sydney) AWS Regions where AWS IoT SiteWise is offered. To learn more, read the https://aws.amazon.com/blogs/industries/simplifying-industrial-equipment-monitoring-with-native-anomaly-detection-in-aws-iot-sitewise/ and https://docs.aws.amazon.com/iot-sitewise/latest/userguide/sitewise-anomaly-detection.html. 

AWS IoT SiteWise now supports retraining of anomaly detection models

Today, AWS announced new capabilities for native anomaly detection in AWS IoT SiteWise. This release includes automated model retraining, flexible promotion modes, and exposed model metrics, all ...

#AWS #AwsIotSitewise #AwsIot

AWS IoT SiteWise now supports retraining of anomaly detection models Today, AWS announced new capabilities for native anomaly detection in AWS IoT SiteWise. This release includes automated model retraining, flexible promotion modes, and exposed model metrics, all designed to enhance the anomaly detection feature. The automated retraining capability allows models to be automatically retrained on a schedule ranging from a minimum of 30 days to a maximum of one year, eliminating the need to manually retrain models. This feature ensures that models stay up-to-date with changing equipment conditions or configurations, thereby maintaining optimal performance over time. Additionally, flexible promotion modes give customers the choice between service-managed and customer-managed model promotion. Automatic promotion enables AWS IoT SiteWise to evaluate and promote the best-performing model without customer intervention, while manual promotion allows customers to review comprehensive, exposed model metrics—including precision, recall, and Area Under the ROC Curve (AUC)—before deciding which model version to activate. This flexibility allows choice between a hands-off or human oversight approach.  Multivariate anomaly detection is available in US East (N. Virginia) , Europe (Ireland) , and Asia Pacific (Sydney) AWS Regions where AWS IoT SiteWise is offered. To learn more, read the launch blog and user guide.

🆕 AWS IoT SiteWise now supports automated retraining of anomaly detection models, flexible promotion modes, and exposed metrics for precision, recall, and AUC, enhancing anomaly detection with minimal manual intervention. Available in select regions.

#AWS #AwsIotSitewise #AwsIot

AWS IoT Core facilita la gestión de conexiones MQTT con la nueva API DeleteConnection. Simplifica la desconexión y limpieza de recursos, optimizando la administración de dispositivos IoT. ¡Mejora la eficiencia! AWS #IoT #MQTT #AWSIoT #Cloud #Tecnología Link

Struggling with remote access to your AWS IoT devices? Set up secure tunneling in seconds with Tunnelmole. No more firewall headaches! #awsiot #iot #iiot #tunneling #opensource #developer softwareengineeringstandard.com/2025/07/14/aws-iot-secur...

Need a public URL for your #AWS #IoT device? Stop fighting with port forwarding. Learn how to get a secure HTTPS URL in seconds with Tunnelmole. #awsiot #publicurl #opensource

softwareengineeringstandard.com/2025/07/12/aws-iot/

EP269: IoT Intro a Seguridad & AWS IoT Certificates Podcast AWS LATAM · Episode

Nuevo Podcast #AWSlatam 🎤 - EP269: IoT Intro a Seguridad & AWS IoT Certificates

#AWSIoT #Cybersecurity #CloudComputing #Podcast #IoTSecurity

✨ Shaping the Future of Smart Technology – Only on Piemb Systech!

🌐piembsystech.com/iot/

#PiembSystech #IoT #InternetOfThings #SmartTechnology #OpenSourceLearning #TechBlog #EmbeddedSystems
#IoTLearning #ArduinoProjects #RaspberryPi #NodeMCU #MQTT #ThingSpeak #AWSIoT #Blynk #IoTCloud
#SmartHome

Announcing the Developer Preview for AWS IoT Device SDK for Swift The AWS IoT Device SDK team is introducing the Developer Preview for IoT Device SDK for Swift that enables developers to build Internet of Things (IoT) applications to run on Linux, macOS, iOS, and tvOS platforms. This SDK provides an idiomatic interface for iOS mobile developers to build their applications in the modern Swift language and to connect to AWS IoT services through MQTT protocol. With the AWS IoT Device SDK for Swift, the developers can now build more sophisticated IoT applications by leveraging the native Swift integration, and the MQTT version 5 advanced features to improve error handling, client load balancing and fault tolerance with Shared Subscription, and customization through User Properties. The SDK provides secure certificate-based authentication and supporting multiple connection methods including X.509 certificates, custom authentication, and MQTT over WebSockets connections. To get started, see the following list of resources. https://docs.aws.amazon.com/iot/latest/developerguide/what-is-aws-iot.html https://github.com/aws/aws-iot-device-sdk-swift https://github.com/aws/aws-iot-device-sdk-swift/tree/main/Documentation/MQTT5_Userguide.md

Announcing the Developer Preview for AWS IoT Device SDK for Swift

The AWS IoT Device SDK team is introducing the Developer Preview for IoT Device SDK for Swift that enables developers to build Internet of Things (IoT) applications to run on Linux, macOS, iOS, and ...

#AWS #AwsSdkForSwift #AwsIot

Announcing the Developer Preview for AWS IoT Device SDK for Swift The AWS IoT Device SDK team is introducing the Developer Preview for IoT Device SDK for Swift that enables developers to build Internet of Things (IoT) applications to run on Linux, macOS, iOS, and tvOS platforms. This SDK provides an idiomatic interface for iOS mobile developers to build their applications in the modern Swift language and to connect to AWS IoT services through MQTT protocol. With the AWS IoT Device SDK for Swift, the developers can now build more sophisticated IoT applications by leveraging the native Swift integration, and the MQTT version 5 advanced features to improve error handling, client load balancing and fault tolerance with Shared Subscription, and customization through User Properties. The SDK provides secure certificate-based authentication and supporting multiple connection methods including X.509 certificates, custom authentication, and MQTT over WebSockets connections. To get started, see the following list of resources. What is AWS IoT AWS IoT Swift SDK MQTT 5 User Guide

🆕 AWS announces the Developer Preview for IoT Device SDK for Swift, enabling developers to build IoT apps on Linux, macOS, iOS, and tvOS. It offers secure, idiomatic Swift integration, MQTT v5 features, and multiple connection methods.

#AWS #AwsSdkForSwift #AwsIot

AWS IoT Greengrass v2.14 now supports a new lightweight edge runtime software, uses less than 5MB of memory Today, AWS releases AWS IoT Greengrass 2.14, offering a new nucleus lite feature that supports a lightweight runtime agent for resource-constrained devices operating on embedded Linux. The nucleus lite feature is offered alongside the original AWS IoT Greengrass nucleus, providing developers the flexibility to choose the most appropriate option for their specific edge device capabilities and application needs. AWS IoT Greengrass is an open-source edge runtime and cloud service that enables the development, deployment, management, and monitoring of device software at scale. It facilitates remote deployment and maintenance of AWS-managed and custom applications on edge devices, providing continuous functionality in environments with intermittent connectivity or limited bandwidth. By eliminating the Java (JVM) dependency while maintaining backward compatibility, the new nucleus lite agent uses minimal RAM and storage (less than 5MB), reducing IoT device costs and enabling its use in high-volume applications like robotics, smart home, energy metering, healthcare, and automotive. The 2.14 release is available in all regions where AWS IoT Greengrass is supported. To get started and quickly design a solution using pre-built RaspberryPi images, refer to the new streamlined AWS IoT console installation procedure.

🆕 AWS IoT Greengrass v2.14 now supports a new lightweight edge runtime software, uses less than 5MB of memory

#AWS #AwsIot

AWS IoT Greengrass v2.14 now supports a new lightweight edge runtime software, uses less than 5MB of memory Today, AWS releases https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-v2-whats-new.html, offering a new https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-nucleus-lite-component.html feature that supports a lightweight runtime agent for resource-constrained devices operating on embedded Linux. The nucleus lite feature is offered alongside the original AWS IoT Greengrass nucleus, providing developers the flexibility to choose the most appropriate option for their specific edge device capabilities and application needs. AWS IoT Greengrass is an open-source edge runtime and cloud service that enables the development, deployment, management, and monitoring of device software at scale. It facilitates remote deployment and maintenance of AWS-managed and custom applications on edge devices, providing continuous functionality in environments with intermittent connectivity or limited bandwidth. By eliminating the Java (JVM) dependency while maintaining backward compatibility, the new nucleus lite agent uses minimal RAM and storage (less than 5MB), reducing IoT device costs and enabling its use in high-volume applications like robotics, smart home, energy metering, healthcare, and automotive. The 2.14 release is available in all regions where AWS IoT Greengrass is supported. To get started and quickly design a solution using pre-built RaspberryPi images, refer to the new streamlined https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html.

AWS IoT Greengrass v2.14 now supports a new lightweight edge runtime software, uses less than 5MB of memory

Today, AWS releases docs.aws.amazon.com/greengrass/v2/developerg... offering a new https://docs.aws.amazon.com/greengrass/v2/develope

#AWS #AwsIot

Top 10 AWS re:Invent 2024 Sessions on AWS IoT and Serverless for Developers AWS re:Invent 2024 was a landmark event, bringing together cloud computing enthusiasts, developers,...

✍️ New blog post by Bhavesh Gohel

Top 10 AWS re:Invent 2024 Sessions on AWS IoT and Serverless for Developers

#aws #awsiot #serverless #techtalks

Unlocking the Future of Building Management with AWS IoT In this AWS Toronto Summit 2024 presentation, I delve into how to implement Internet of Things (IoT)...

New post was published by Augusto Valdivia
#iot #digitaltransformation #awssummittoronto20204 #awsiot

Secure IoT Connectivity with NodeMCU ESP8266 Board, ATECC508A Crypto Chip, Mongoose OS, and AWS IoT - CNX Software There are many examples of Internet of Things projects, but more often than not the implementation is not secure, either because the device is exposed to

Secure #IoT Connectivity with NodeMCU #ESP8266 Board, @Microchip ATECC508A Crypto Chip, @MongooseOS, and #AWSIoT

cnx-software.com/2017/03/07/sec…