IoT Connectivity Solutions

In global manufacturing and logistics, downtime is more than just a financial burden—it can cost market share. Despite this, 40% of industrial IoT downtime is still caused by connectivity gaps. The solution lies in adopting multi-connectivity architectures that integrate various types of connectivity to address different operational needs: - Private 5G: Offers secure, low-latency control for on-site operations. - Public 5G: Provides wide-area mobility for field teams and moving assets. - Satellite: Ensures always-on coverage for remote locations like mines, offshore rigs, and shipping lanes. - Wi-Fi: Delivers cost-effective high-bandwidth access for indoor, non-critical tasks. Real World Use Cases: 1️⃣ Automotive Manufacturing Plant – Private 5G + Wi-Fi: A Tier 1 supplier leverages Private 5G for real-time control of autonomous guided vehicles and robotic arms, while Wi-Fi manages non-critical data uploads and employee devices. The result? Zero handoff lag and 15% faster assembly cycles. 2️⃣ Global Container Shipping – Satellite + Public 5G: A logistics giant equips vessels with satellite connectivity for ocean crossings and seamlessly transitions to public 5G upon port arrival. This ensures continuous tracking of refrigerated containers and immediate customs documentation upon docking. 3️⃣ Remote Mining Operation – Private 5G + Satellite: A mining company in South America utilizes Private 5G for autonomous haul trucks within the mine, complemented by satellite backhaul to connect with headquarters thousands of miles away. This setup reduced manual inspections by 40% and enhanced safety reporting. 4️⃣ Cold Chain Logistics – Public 5G + Wi-Fi: A food distributor employs public 5G for temperature monitoring during transit, switching to Wi-Fi at warehouses for bulk data syncing and predictive maintenance uploads. This approach contributed to a 12% reduction in spoilage across their network. By integrating Private 5G, Public 5G, Satellite, and Wi-Fi, enterprises realize the ROI quickly by implementing these strategies across their global operations. #iot #iiot #5g #private5g #satelliteIOT

𝗧𝗵𝗲 𝗜𝗜𝗼𝗧 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸: 𝗔𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗟𝗲𝗻𝘀 𝗼𝗳 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 Standards are the foundational "language rules" of #IIoT. While classic #Fieldbus and supervisory protocols have historically facilitated communication at the device and plant levels, newer standards bridge interactions with #cloud-based business systems. 𝗠𝗤𝗧𝗧 𝗮𝗻𝗱 𝗦𝗽𝗮𝗿𝗸𝗽𝗹𝘂𝗴 𝗕: 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆 The lightweight #MQTT protocol, originally conceived for bandwidth-limited and unstable network conditions, has become a go-to solution for IIoT connectivity. It uses a Pub/Sub model that only sends data during event changes, reducing network congestion and cutting data transfer costs. Its strong quality-of-service (QoS) levels ensure message delivery in harsh network conditions, an ideal feature for industrial environments. #SparkplugB builds on MQTT, introducing consistent data structures and payloads that allow for real-time data monitoring and device tracking. Its hierarchical topic namespaces improve data organization, facilitating data management across several industrial systems. 𝗡𝗲𝘄 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗣𝘂𝗿𝗱𝘂𝗲 𝗠𝗼𝗱𝗲𝗹 The layered Purdue model, which is traditionally used in industrial systems, finds challenges when adapting to the volume, variety, and velocity of Industrial Internet of Things (IIoT) data. New architectures are emerging to address these limitations: ▪ 𝗛𝘂𝗯-𝗮𝗻𝗱-𝗦𝗽𝗼𝗸𝗲: This model centralizes data publication through hubs, such as MQTT brokers, before distributing it to multiple applications, consolidating data, and enriching it with contextual metadata. Multiple consumers can access it without overwhelming individual systems. ▪ 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗡𝗮𝗺𝗲𝘀𝗽𝗮𝗰𝗲 (𝗨𝗡𝗦): #UNS is structured through hierarchical topic organization, organizing access to IIoT data. This approach is based on standards like #ISA-95, logically categorizing data to simplify its discovery and usability. 𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗗𝗮𝘁𝗮𝗢𝗽𝘀 𝗮𝗻𝗱 𝗔𝗜 #DataOps is a discipline that promotes a data-centric culture, breaking down #IT and #OT silos, establishing data governance frameworks for clear data ownership and access, ensuring accessibility, consistency, and usability, and aligning business and technical teams with data-driven objectives. Through data contextualization, where data is tailored to specific use cases, #AI improves data quality, automates system data mapping, and turns it into actionable intelligence. Source: https://t.ly/VPT9C ***** ▪ Follow me and ring the 🔔 to stay current on #IndustrialAutomation, #IndustrialSoftware, #SmartManufacturing, and #Industry40 Tech Trends & Market Insights!

IoT Connectivity in 2025. A wide range of technologies — new ones being introduced, old ones being phased out. The backbone of IoT is clearly entering its next phase. For years, we relied on technologies originally designed for consumers, such as 2G and 3G - faithful servants and vital foundations for the industry’s development. But as they are now being phased out, a new generation of IoT-specific technologies is gaining traction — and with it comes both opportunity and complexity. The reality? The pace of change varies greatly by region. And for our customers with global footprints, this uneven rollout makes it even more critical to stay informed about where and when technologies are being phased out. Just as vital is choosing the right technology for new deployments — or when replacing existing ones. As always, new tech drives hype. There’s a lot of noise around 5G-based technologies like RedCap, 5G NSA, and 5G SA. But beneath the buzzwords, what are we really seeing? Understandably, this is one of the most common questions we get from our customers. And while there’s far more to say than what fits in a single post, here’s my brief take:    🔹 4G is still the backbone of global IoT Cat-1 and LTE-M are here to stay — scalable, reliable, and available nearly everywhere. It's the safe choice for those needing global reach today. 🔹 5G RedCap is promising, but not production-ready It’s an exciting bridge between low-power and high-performance use cases, but full 5G Standalone rollouts are still a few years out. 🔹 Satellite IoT (NTN) is coming — slowly Ideal for remote coverage, but with technical and regulatory hurdles, mainstream adoption will take time.   So what’s the advice we give our customers? ✅ Use what works today. Proven technologies like LTE-M and Cat-1 are excellent choices — no need to wait for the future. ✅ Match the tech to your real-world needs. Don’t chase trends. Focus on coverage, latency, cost, and power consumption. ✅ Plan for the 2G/3G shutdown now. Don’t get caught off guard. Audit your fleet and migrate in time. ✅ Design for flexibility. Modular hardware and remotely updatable SIMs offer critical agility as networks evolve. ✅ Start small. Scale smart. Pilot early, learn fast, and grow confidently. For those who want to know — what’s available now, what’s coming, and what suits which use case — I dare say our experts have put together one of the most comprehensive guides out there. It’s based on the real questions we get and the insights we’ve gathered over a long time. 👉Download our latest tech guide here https://lnkd.in/dUT_4ZTA

Just checked on one of our customers' IoT devices that's been running flawlessly in the Arctic Circle for 763 days straight. No technician visits. No downtime. Reliable connectivity shouldn't be newsworthy. But in the IoT world, it is. The reality? Most connected devices experience 3-5 outages per year. Each outage costs an average of $9,000 in lost revenue and recovery costs. For device builders, connectivity failures aren't just technical problems – they're existential threats. We've spent 10+ years obsessing over this problem at Hologram because we believe your brilliant innovations deserve better than to be held hostage by unreliable networks. That's why we built our Outage-Proof platform: • Multi-carrier redundancy across 550+ networks • Automatic carrier switching when performance drops • 99.95% uptime guarantee (we actually put it in writing) • Coverage in 190+ countries on a single SIM I've just published our comprehensive "IoT Connectivity Reliability Guide" – a 15-page breakdown of the most common failure points and how to architect around them. It includes our proprietary 7-point checklist that our customers use to evaluate any connectivity provider (even if it's not us). Reply "GUIDE" in the comments and I'll send it directly to your inbox. What's the most frustrating connectivity issue you've faced with your IoT deployment? I'd love to hear your war stories.

Many companies approach us with ambitious plans for global IoT deployments spanning multiple continents. Their vision is clear, their use case is solid, and their connectivity partner (that's us😁) can provide global coverage. But then comes the crucial question of what hardware they are using. All too often, we discover they've selected modules that can only operate in specific regions (for example EU versions that can't connect in US or Asia) This immediately creates a disconnect. When selecting cellular modules for IoT devices, regional compatibility is fundamental. It determines whether your device can operate globally. Many of the companies we speak to don't realise that selecting the wrong hardware can completely derail deployment plans. But the confusion doesn't end with regional compatibility. Your module choice also defines: - Technology capabilities (2G/3G/4G/5G, NB-IoT, Cat-M1, etc.) - Power consumption profiles - SIM technology compatibility (traditional SIM vs. eSIM vs. embedded/MFF2 SIM) Here’s what we emphasise for our customers: 1. Know your deployment regions - This fundamentally determines what hardware will work for your solution 2. Understand module compatibility - EU-specific modules won't connect in North America or Asia Pacific, regardless of your SIM card 3. Always include SMS support - If something goes wrong and the data channel stops working, SMS provides a critical backup channel to push updates or reset your device remotely The connectivity world can be complex, but with proper planning, your IoT deployment can truly be global. Our team also works closely with all of our customers and supports them every step of the way to ensure they operate seamlessly across all their target markets. So far we’ve helped 429 customers globally so we’ve got a good idea of what works and what doesn’t. 😉

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿𝘀 𝗧𝗵𝗮𝘁 𝗣𝗼𝘄𝗲𝗿 𝗠𝗼𝗱𝗲𝗿𝗻 𝗜𝗼𝗧 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 Most industrial organizations don't have a data problem. They have a connectivity problem. Critical operational data is often spread across PLCs, SCADA systems, historians, ERP applications, maintenance platforms, energy management systems, databases, and cloud environments. While each system serves a specific purpose, the real challenge lies in bringing them together to create a single source of operational truth. This is where industrial connectors become the backbone of modern IoT platforms. Technologies such as OPC UA, MQTT, Modbus, APIs, ERP connectors, historian integrations, and cloud connectors enable seamless communication between previously disconnected systems. They transform isolated data points into contextualized operational intelligence. The impact goes far beyond integration. Connected systems provide enterprise-wide visibility, faster decision-making, improved asset reliability, predictive maintenance capabilities, optimized energy consumption, and stronger collaboration between operational and business teams. As organizations accelerate their AI and autonomous operations initiatives, the importance of connectivity is becoming even more evident. AI models, analytics engines, digital twins are only as valuable as the quality and accessibility of the data they consume. The future of industrial transformation will not be defined by who collects the most data. It will be defined by who connects their data most effectively. Because in the end, connectors don't just move data. They power visibility. They enable intelligence. They create the foundation for autonomous operations and measurable business impact. #IoT #IndustrialIoT #IIoT #IoTPlatforms #DigitalTransformation #Industry4point0 #Industry5point0 #IndustrialAutomation #SmartManufacturing #ConnectedOperations #DataIntegration #AIoT #Manufacturing #AutonomousOperations #IndustrialConnectivity

Ever get frustrated watching a firmware update drain your battery while every device keeps “talking” to the network for the same data? TL;DR—With a small software change, a network can now broadcast the same data to thousands of #IoT devices at once—no new routing protocol required. Why this is a win for you (or anyone who uses IoT): -Faster, cheaper updates: The network delivers firmware patches, security fixes, or even video to every sensor, camera, or wearable in seconds instead of minutes. -Longer battery life: Devices simply listen for the broadcast instead of constantly checking in or managing routing tables. Less radio time means more battery life. -No new hardware: This is a software-only change. Existing Wi-Fi access points, routers, and IoT gateways work just as they do today. Bottom line—#IGMM (Internet Group Message Multicast) is a simple, backward-compatible change that makes broadcasting to many IoT devices cheaper, easier, and much kinder to batteries. Anyone pushing the same data to lots of devices—telecom operators, cloud providers, IoT manufacturers, campus IT teams—benefits from a lighter, faster, and more reliable solution. This work comes from #RTXBBN’s Marc Mosko and the University of Toronto's J.J. Garcia-Luna-Aceves. It was selected as Best Short Paper at the Conference on Cloud & Internet of Things. Read the full paper:  https://lnkd.in/g8UN474g #CIoT2025 #CloudComputing #BestPaper #Networks #WirelessNetworking #IGMP #Research #FutureOfConnectivity RTX

We often talk about devices, sensors, and data in the IoT, but the real magic happens behind the scenes, with the MQTT broker. It's the central hub that makes seamless communication possible, ensuring your IoT solutions are reliable and scalable. Did you know? Leading MQTT brokers are now engineered for massive scale, with some demonstrating the ability to handle over 100 million concurrent connections within a single cluster. SoftServe emphasizes the critical need for a broker capable of managing such high concurrency and message throughput without compromising performance or stability. Why is choosing the right MQTT broker so critical in today's IoT landscape? Recent insights underscore these key aspects: - Reliability in Challenging Environments: MQTT's Quality of Service levels remain crucial for ensuring message delivery, especially in IoT deployments with potentially unstable network connections. Recent evaluations continue to highlight the trade-offs between reliability (QoS 1 & 2) and latency. - Scalability for Future Growth: As the number of connected devices continues to surge, the scalability of your MQTT broker is paramount. Modern brokers are focusing on linear scalability, allowing for the addition of nodes to maintain performance as message throughput increases to millions of messages per second. - Efficiency for Resource-Constrained Devices: MQTT's lightweight nature remains a significant advantage for IoT devices with limited processing power and battery life. Ongoing development focuses on further optimizing data cost efficiency in MQTT deployments. - Real-time Data Streaming for Intelligent Applications: The publish-subscribe model facilitates real-time data exchange, essential for increasingly sophisticated IoT applications in areas like industrial automation and smart cities. - Robust Security for Connected Ecosystems: Security remains a top priority, with advancements in authentication mechanisms (like SCRAM) and the continued importance of TLS/SSL encryption for protecting sensitive IoT data transmitted via MQTT. The key takeaway? Your MQTT broker is the backbone of your evolving IoT infrastructure. Choosing the right one, with a focus on scalability, reliability, efficiency, and security in the context of modern IoT trends, is essential for building future-proof solutions. SoftServe possesses deep expertise in guiding businesses through the complexities of the IoT landscape, including the critical selection and implementation of MQTT brokers tailored to their specific and future needs. Our understanding of the latest advancements in MQTT ensures that our clients build robust and innovative IoT solutions.

Happy World IoT Day! The biggest IoT story so far in 2026 is not just “more connected devices.” It is that the stack is finally lining up, from silicon to standards to networks to cloud. At the silicon layer, edge AI is no longer aspirational. It is moving into real low-power platforms. At the standards layer, interoperability keeps getting more practical, with meaningful progress in Matter and new momentum in digital access. At the network layer, satellite IoT is pushing connectivity beyond traditional coverage boundaries. And at the cloud layer, the conversation is shifting from simply connecting devices to simplifying onboarding, fleet operations, data flow, and security. The real signals of the year: - Smarter edge compute: low-power IoT silicon got materially more capable: Qualcomm said its IE-IoT expansion now combines processors, software, services, and assets from Augentix Inc., Arduino, Edge Impulse, Focus.Ai and Foundries.io for edge computing and AI across verticals; Nordic Semiconductor launched the nRF54L with an NPU plus Edge AI Lab; and Silicon Labs used CES 2026 to push Zephyr support and show single-chip wireless motor control with AI/ML. - Better interoperability: this year was not just about “more standards,” but standards getting more usable: the Connectivity Standards Alliance released Matter 1.5.1 with concrete improvements for camera and doorbell products, and it launched Aliro 1.0 as a unified access-control credential and communications standard with support aligned to Apple, Google, and Samsung Electronics wallet ecosystems. - Broader reach: IoT coverage kept moving past the limits of terrestrial-only deployments: Iridium introduced the 9604, a compact module that combines satellite, LTE-M, and GNSS in one platform for global IoT, while Vodafone IoT partnered with Skylo on NTN NB-IoT satellite connectivity; Skylo says its NTN spans 36 countries and 70 million square kilometers. - Lighter operations: vendors are finally reducing the integration and fleet-management tax: Silicon Labs’ new Simplicity SDK for Zephyr brings vendor QA and support to a major open RTOS, while Amazon Web Services (AWS) IoT Device Management’s managed integrations provide a unified interface across 80+ device data model templates and cloud-to-cloud connectors. - More usable data: the shift is from collecting telemetry to making it operationally useful: Microsoft says Azure IoT Operations unifies operational and business data across distributed environments, and Siemens says its Industrial Edge now works with Azure IoT Operations to create interoperable OT/IT data planes from production lines to edge to cloud. Amazon Web Services (AWS) is doing the same in the smart-device world with Matter-based data model templates that normalize device data faster into applications. IoT is maturing from a collection of technologies into an actual operational stack. That is worth celebrating! #WorldIoTDay

𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐈𝐨𝐓 𝐰𝐢𝐭𝐡 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚 In the age of Industry 4.0, IoT streaming data pipelines are the backbone of real-time analytics and intelligent decision-making using AI. Integrating MQTT and Kafka bridges the gap between lightweight device communication and robust data streaming, empowering diverse IoT applications. 𝐖𝐡𝐲 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚? ✅ MQTT: A lightweight messaging protocol for communication in constrained networks with limited bandwidth and compute resources using a publish/subscribe model, ideal for IoT applications. Perfect for connected cars, industrial IoT, manufacturing, energy, and logistics. ✅ Kafka: A distributed streaming platform designed for high-throughput, fault-tolerant processing of real-time data streams. It is used to build real-time streaming data pipelines and real-time streaming applications. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 Here’s how you can connect MQTT with Kafka: ➡️EMQX Kafka Bridge: Real-time, bidirectional data bridging. ➡️HiveMQ Enterprise Extension for Kafka: Enables bi-directional data flow. ➡️Confluent MQTT Proxy: Simplifies integration (limited to MQTT 3.1.1). ➡️Kafka Connect: Enables communication with any MQTT-compliant broker. ➡️Custom Development: Flexible but requires significant resources. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐀𝐜𝐫𝐨𝐬𝐬 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 🏭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 ✅ Machine connectivity for real-time data collection and monitoring. ✅ Digital twins to simulate and optimize production processes. ✅ Condition-based maintenance to improve operational efficiency. 🔋 𝐄𝐧𝐞𝐫𝐠𝐲 ✅ Optimize electric vehicle charging with dynamic grid systems. ✅ Monitor and control energy usage in smart grids for efficient resource distribution. ✅Enable predictive maintenance of energy infrastructure, reducing downtime. 🚛 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 ✅Real-time fleet tracking and route optimization. ✅Predictive maintenance for vehicles and assets. ✅Warehouse automation powered by real-time IoT insights. 🚗 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐈𝐨𝐓 ✅ Real-time telematics for monitoring GPS, fuel usage, and driver behavior. ✅ Predictive maintenance to prevent vehicle failures. ✅ Intelligent traffic systems to reduce congestion and improve efficiency. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐜𝐨𝐦𝐛𝐢𝐧𝐢𝐧𝐠 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚 By combining MQTT's lightweight efficiency with Kafka's high-performance data processing, businesses can: ➡️ Simplifies real-time IoT data collection, storage, and processing. ➡️ Scale effortlessly to millions of devices ➡️ Build fault-tolerant, future-proof IoT architectures across industries. ✅At RisingWave, both MQTT and Kafka are supported as sources and sinks. Want to Learn More? Follow me (Fahad Shah) and these amazing people: ➡ Andreas Vogler ➡ Kai Waehner ➡ Kudzai Manditereza ➡ Sebastián Trolli ➡ Dylan DuFresne What are your thoughts on integrating MQTT and Kafka in IoT systems? 👇 #IoT #MQTT #Kafka #RealTimeAnalytics #AI #risingwave