As organizations increasingly adopt cloud-native technologies, containers, and microservices, effective log monitoring and management have become essential to navigate the growing complexity and volume of logs. The log management market is projected to expand significantly, driven by the widespread use of hyperscale cloud providers like AWS, Azure, and GCP. Logs, which are timestamped records of events from various systems, provide crucial insights into system performance and user interactions. Log monitoring involves continuously observing logs to detect and address issues across the software delivery lifecycle, while log analytics evaluates logs to understand their significance and improve system performance. Together, these processes ensure optimal operation of applications and infrastructure, enhance collaboration, and enable faster incident response. However, challenges such as lack of end-to-end observability, inadequate context, and high costs can hinder effective log monitoring. Dynatrace addresses these challenges by using AI to provide comprehensive insights and automate processes, helping organizations gain situational awareness and improve both IT operations and business outcomes.