The article addresses four major issues in log management and presents solutions for each. It highlights the overwhelming nature of machine data, which is difficult to analyze without the right tools, and the challenge of identifying key events when one is unsure what to look for. It also discusses the difficulty of correlating data from various sources and the problem of data normalization, which makes log data hard to interpret. The article suggests that a comprehensive log management solution, which aggregates, analyzes, and uses AI to identify and resolve data-related issues, can effectively tackle these problems, offering real-time notifications, quick data analysis, and automatic pattern recognition.