Log management has evolved significantly due to modern architectures, including cloud computing and distributed environments, which have introduced challenges like extensive logging pipelines that are costly and time-consuming to manage. Despite the general disdain for logs, their importance in providing system visibility is widely acknowledged, leading to the development of methodologies to enhance logging efficiency and usability. Structured logging, which standardizes logs across applications, has emerged as a best practice to improve observability, with frameworks like the Elastic Common Schema playing a central role. The concept of "shifting left" in logging encourages developers to integrate logging early in the development process to ensure comprehensive visibility throughout the application lifecycle. To address the financial and practical costs of logging, some organizations adopt a "log less" approach, focusing only on critical components to mitigate the volume of data generated. These strategies, combined with automation, aim to optimize logging workflows and help teams handle the vast quantity of log messages produced by modern systems, enhancing the overall effectiveness of monitoring systems.