The evolution of log management has transformed significantly from centralized IT systems to modern architectures that include the public cloud, Docker containers, and microservices, which have collectively complicated the process of managing log files. In the past, IT relied on legacy systems for monitoring, but the shift to web and cloud technologies has necessitated the aggregation of logs into centralized repositories to handle the increased volume and complexity of data. This has led to the emergence of log aggregation companies like Splunk and HP ArcSight. Despite advancements, many IT organizations struggle with effective log analytics, which are crucial for agile development and DevOps processes. Successful log management involves aggregating all logs, ensuring application safety, scaling systems to meet demand, integrating with DevOps processes, asking the right questions of the data, and leveraging open-source solutions to avoid vendor lock-in. These practices help organizations gain actionable insights from log files, improve system performance, and enhance collaboration between developers and operations teams.