IoT monitoring is the process of discovering, monitoring and managing the connected devices that make up the Internet of Things. It lets organizations oversee their IoT applications and assets through data collection and analysis, providing insights into device functionality. Monitoring these connected devices keeps teams informed about any performance gaps impacting the business and enables effective troubleshooting.
In addition to wearables or smart home products, the IoT category also includes “things” such as supply-chain monitoring systems, inventory management applications and data security systems that are used by retail, IoT medical and healthcare devices and manufacturing organizations. Businesses in every industry are steadily integrating IoT devices like these into their IT strategies, and the global number of IoT-connected devices is expected to grow to 43 billion by 2023.
IoT devices aka (smart devices) require monitoring software to ensure they adhere to performance metrics, don’t exceed their performance thresholds or become compromised by cybercriminals. Businesses typically have various fleets of IoT devices spread across multiple locations thousands of miles apart. To understand the health of their IoT infrastructure and be able to troubleshoot individual devices, organizations must gather and analyze huge volumes of data. But this data is often generated by a variety of hardware and software platforms, making it difficult to analyze and act on.
IoT monitoring systems use automation to collect, normalize and process these vast amounts of data in intuitive graphs and visualizations so organizations can more effectively troubleshoot and identify the root cause of problems with their IoT devices — as well as optimize their performance and remediate issues to ensure they provide maximum value to the business and its customers.
In this guide, we’ll look at why IoT monitoring is important, outline the benefits and challenges of the process and compare some of the more popular IoT monitoring tools.