IoT technology has evolved from a niche innovation to a mainstream system that requires robust monitoring and data management capabilities due to its complex and distributed nature. Logs are emerging as a critical tool for processing the vast amounts of time-series data generated by IoT devices, facilitating centralized data analysis and prediction-making, such as detecting security threats or operational anomalies. By leveraging existing log analytics infrastructure, organizations can enhance IoT observability and security, providing real-time insights and historical data review to improve system health and security posture. This approach not only supports the efficient management of IoT systems but also aids in mitigating risks associated with vulnerabilities like Log4Shell by allowing immediate threat detection and response.