IT Infrastructure Management in the Era of IoT

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Summary

IT infrastructure management in the era of IoT (Internet of Things) focuses on using intelligent, automated systems to monitor, optimize, and maintain IT environments seamlessly. By integrating IoT devices and AI-driven platforms, organizations can achieve real-time monitoring, predictive decision-making, and enhanced operational efficiency without human intervention.

  • Adopt smarter automation: Use AI-powered platforms to predict and resolve IT issues, scale applications, and manage workloads automatically, reducing downtime and manual effort.
  • Leverage edge-cloud synergy: Combine edge processing with cloud capabilities to enable faster, more autonomous decision-making and minimize latency in IoT environments.
  • Focus on sustainability: Integrate IoT-enabled tools to reduce energy usage, monitor emissions, and achieve greener IT operations while maintaining performance.
Summarized by AI based on LinkedIn member posts
  • View profile for Jimmy Jobe

    President and CEO at Verge Technologies, Inc.

    2,536 followers

    Old job: Get an alert. Spin up the team. Diagnose issue. Pray it's not a hardware fault. New job: System detects risk, scales app, reroutes traffic, logs resolution. No downtime. No human. That's management. I spent years as a CIO dealing with 3 AM calls. Database crashes. Application bottlenecks. Server failures. Every incident followed the same painful playbook: Alert fires → wake up team → troubleshoot for hours → hope the fix works → document what went wrong → repeat next week. We called this "IT management."= But it wasn't management at all. It was crisis response dressed up with fancy monitoring tools. Real management means preventing problems before they happen. It means systems that scale automatically when traffic spikes. It means workloads that migrate seamlessly when hardware fails. It means zero downtime maintenance windows. The technology to do this exists today. AI-powered platforms can monitor workloads in real-time, predict performance issues, and take corrective action without human intervention. They can move live databases between servers with zero downtime. They can scale applications across multiple clouds based on demand patterns. They can patch systems by migrating workloads to swing servers and back again. All while your customers never know anything happened. But most companies are still stuck in reactive mode. Still paying for monitoring tools that just tell you when things break. Still scheduling maintenance windows that interrupt business operations. Still treating "five nines" uptime as the best you can do instead of aiming for continuous availability. The future of IT operations isn't about faster response times. It's about eliminating the need to respond at all. Your infrastructure should be intelligent enough to handle problems automatically. Your applications should migrate seamlessly between environments. Your databases should scale without taking anything offline. That's not the future of IT management. That's what management actually looks like when done right. The companies that figure this out first will leave their competitors scrambling to catch up. Because when your systems never go down and your competitors are still explaining maintenance windows to their customers, the choice becomes obvious.

  • View profile for Deep D.
    Deep D. Deep D. is an Influencer

    Technology Service Delivery & Operations | Building Reliable, Compliant, and Business-Aligned Technology Services | Enabling Digital Transformation in MedTech & Manufacturing

    4,337 followers

    𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 1: 𝐓𝐡𝐞 𝐃𝐚𝐰𝐧 𝐨𝐟 𝐒𝐦𝐚𝐫𝐭 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐁𝐞𝐭𝐰𝐞𝐞𝐧 𝐭𝐡𝐞 𝐄𝐝𝐠𝐞 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐂𝐥𝐨𝐮𝐝 In 2024, the spotlight is on smart connectivity, a critical evolution that promises to redefine IoT by enhancing the synergy between device intelligence at the Edge and cloud capabilities. This transformative approach is set to impact organizations across industries by enabling more efficient, secure, and intelligent operations. 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: 📌𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐌𝐚𝐤𝐢𝐧𝐠: With the acceleration of Edge processing, organizations can leverage local data analysis for quicker, more autonomous decision-making. This reduces dependency on cloud processing, thereby minimizing latency and enhancing real-time responses. 📌𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Full-stack integration means that IoT devices will be more self-reliant, requiring less intervention and manual oversight. This leads to streamlined operations, lower operational costs, and reduced potential for human error. 📌𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: The emphasis on secure, resilient connectivity ensures that data is protected from endpoint to cloud. This is crucial for organizations dealing with sensitive information, helping them meet regulatory compliance standards like GDPR and HIPAA more effectively. 📌𝐂𝐨𝐬𝐭 𝐚𝐧𝐝 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Intelligent connectivity allows devices to select the most cost-effective and efficient network paths. This adaptability can lead to significant savings on data transmission costs and optimize network resource usage. 📢 𝐌𝐲 𝐓𝐡𝐨𝐮𝐠𝐡𝐭𝐬 The prediction of smart connectivity as a cornerstone for IoT in 2024 resonates with a growing trend toward distributed intelligence and the need for more agile, secure, and efficient operations. From an organizational perspective, this shift is not merely technological but strategic, offering a pathway to transform how businesses interact with digital infrastructure, manage data, and deliver services. 📌𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞: Organizations that embrace smart connectivity will gain a competitive edge through enhanced operational agility, improved customer experiences, and a stronger posture on security and compliance. 📌𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬: This new paradigm opens doors for innovative applications and services that leverage Edge intelligence, from advanced predictive maintenance to dynamic supply chain management and beyond. 📌𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐚𝐧𝐝 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: While the benefits are clear, organizations must also navigate the complexities of integrating this technology. This includes ensuring interoperability across diverse devices and platforms, managing the increased complexity of decentralized data processing, and addressing the security vulnerabilities that come with expanded IoT ecosystems.

  • Schneider Electric CIO Elizabeth Hackenson's new blog focuses on using our own solutions to run IT infrastructure assets more efficiently and accelerate the move to the cloud as part of an integrated sustainable Green IT strategy. It highlights how EcoStruxure IT optimizes IT infrastructure management, leveraging IoT-enabled hardware, software, and services to offer real-time data insights, proactive monitoring, and remote management capabilities for critical IT environments. And it shares some impressive stats about EcoStruxure IT and how we help our customers including: “Since 2018, Schneider Electric’s solutions, including EcoStruxure IT, have helped our customers save and avoid 513 million Tonnes of CO2 emissions. That’s equivalent to the average annual emissions of almost 18K commercial airliners!” “In our Boston, MA, headquarters, the energy emissions from IT operations experienced an 11% reduction last month compared to the 2022-2023 average monthly emissions.” “Our Lexington Smart Factory site located in Kentucky (USA) achieved an impressive reduction of 34% within the same timeframe and scope.” A great read!

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