Naveendra Jayaweera’s Post

🖧 Network design revolves around accessibility and nodes. The Alotcer Edge Gateway can break the data barrier of industrial field, quickly establish the connection between industrial field equipment and the cloud, and help you achieve more efficient operation. 👉With Alotcer range of Edge Gateways, you get high-speed, reliable connectivity meets advanced edge computing, ensuring your devices are always online and operational insights are at your fingertips. With real-time data processing, fault prediction, secure remote management with safety and reliability, they give you what today's industrial automation requires. ✅ Seamless integration with MQTT Cloud and industrial protocols; Microsoft Azure IoT, AWS IoT, Scheider Electric EcoStruture, and Device Cloud support ✅ Robust ARM Cortex-A8 processor for on-site smart analytics; ✅ Python programmability for bespoke developer needs. 🔎See the Alotcer range of Edge gateways at https://buff.ly/3W3OxRg 📨Contact seo@alotcer.com

🚀 Connect to Azure IoT Hub Using Micropython on W5100S-EVB-Pico! Learn the process of connecting W5100S-EVB-Pico to Azure IoT Hub via MQTT using Micropython. Send and receive messages efficiently. Read the detailed guide here: https://lnkd.in/gqDH6bYb #AzureIoTHub #Micropython #MQTT #W5100S #IoT #EmbeddedSystems #TechInnovation #IoTDevelopment

🚀 Exciting News! Just published a new blog article on my Medium account about the AWS service 'iot-roborunner'! 📝💡 In this comprehensive guide, I cover everything you need to know about 'iot-roborunner', from its introduction to key features, benefits, getting started, and conclusion. It's a must-read for anyone interested in leveraging the power of IoT with AWS! 🌐🤖 Are you ready to supercharge your IoT projects? Don't miss out on this informative piece - click the link below to dive into the world of 'iot-roborunner'! 🔗🔽 #AWS #IoT #BlogPost #NewArticle #Medium #TechUpdate #IoTRoborunner And remember, if you enjoy the article, make sure to subscribe to my Medium account for more insightful content like this! 📚✉️ #Subscribe #StayInformed #TechEnthusiast #MediumBlogger

📺 AWS IoT Core + Imply, a short demo from Rohan Joshi: https://bit.ly/43Kljep 📄 Learn more about how Imply is made for #IoT: https://bit.ly/3U1ss6Q

A multi national manufacturing company adopted Imply to deploy Druid clusters on #Microsoft #Azure. Their previous database could not scale due to the massive volume of #IoT sensor data—ranging from temperatures to humidity levels, with up to 11,000 KPIs and 7.9 million hourly data points per KPI. This upgrade significantly improved data reading, updating, #deduplication, and increased transaction and query handling capabilities, while also introducing an extension for efficiently sampling large datasets.

The ability for organizations to capture product telemetry data has never been more accessible, especially for physical product manufacturers like those creating appliances, cars, and tools. Businesses that seize this data opportunity can completely transform the customer experience, unlocking endless possibilities that lead to retention, loyalty, support, and new revenue opportunities. Discover why developers at leading organizations trust Imply as their real-time database to handle IoT data use cases and power new opportunities. #Imply #IoT #CustomerExperience #StreamingAnalytics #AWSIoTCore #Kafka #Druid #Confluent #IoTManufacturing https://lnkd.in/gDHvnE2v

Bridgeworks are ✨Highly Commended✨ at this years #Devops Excellence Awards for best #AI / #Automation project!! Find out more here: https://bit.ly/3IMzW7l #CloudComputing #Awards #TheCloud #IT #IoT #WAN #WANAcceleration #BigData #Data

Delving into the backbone of IoT solutions! 🌐💡 My latest case study explores the design of infrastructure pipelines for big data, focusing on integrating AWS Kinesis, Lambda, DynamoDB, and MongoDB. Whether you're managing real-time sensor data or scaling complex systems, understanding these components is crucial. Discover key insights into building robust and scalable data pipelines that power today's IoT environments. Perfect for professionals in cloud computing, data science, and IoT development looking to enhance their systems. 👉 Read the full article for a deep dive into efficient data management strategies. #BigData #IoT #CloudComputing #DataScience #AWS #InfrastructureDesign

Recently, I've been immersed in numerous client-based IoT projects, primarily utilizing Azure technology. Throughout this journey, I came across a particularly insightful resource, "The Azure IoT Handbook" by Dan Clark, published by Packt Publishing. The book is thoughtfully divided into three parts, each containing different chapters. Dan provides a comprehensive guide, skillfully transitioning readers from IoT novices to proficient users of the Azure IoT tech stack. The initial chapters delve into an introduction to IoT technology, emphasizing the role of the Azure IoT Hub resource. The author explores various IoT devices compatible with Azure IoT Hub, offering a foundational understanding. It's worth noting that a basic grasp of programming languages, particularly Python, is recommended for a more comprehensive exploration of the technical aspects covered in the book. The book takes a practical approach by illustrating the importance of visualization in validating solutions. Dan Clark thoroughly covers the visualization of streaming data with Power BI, providing readers with valuable insights. Overall, I must commend Dan Clark for his remarkable job in simplifying a complex concept, making it easily understandable for readers. For those eager to explore further, "The Azure IoT Handbook: Develop IoT Solutions using Intelligent edge-to-cloud technologies" by Dan Clark can be purchased on Amazon: 🔗📖: https://lnkd.in/dR_p8rH2 This resource is highly recommended for anyone looking to enhance their understanding of Azure IoT and develop practical skills in the realm of intelligent edge-to-cloud technologies. Linda P. #Azure #AzureIot #AzureIOTHub #PowerBI #streamingdata

HiveMQ and Azure Cloud Architecture With the HiveMQ Enterprise Extension for Kafka, integrating MQTT data with Azure Event Hubs is effortless. This extension is part of the HiveMQ Platform and forwards MQTT messages from IoT devices (sensors, machines, smart devices, etc.) directly to subscribing topics in Azure Event Hubs. Once the data is in Azure, it can be used for Machine Learning for predictive maintenance, visualized in Power BI for analytics and reporting, or stored in Azure Data Lake. HiveMQ offers scalable solutions with load balancers to manage IoT data from factory machines worldwide, along with tools for transparency and observability to prevent bottlenecks. #IoT #BigData #CloudComputing #DataArchitecture #HiveMQ