Balancing delivery and quality in software development is a persistent challenge, with developers often spending around 75% of their time debugging and fixing production issues. While common solutions such as unit testing, code reviews, and adhering to coding conventions are well-known, the article suggests that leveraging log analytics can significantly reduce the time spent on these tasks. Quality logging involves creating informative log entries that narrate the system's activities and using metadata to categorize them, which aids in efficient problem-solving. Given the vast amounts of log data generated daily, log analytics companies are emerging to assist in making this data searchable and providing tools like alerts and trend graphs. These companies aim to enhance their offerings by automatically identifying problem causes and potentially providing actionable solutions, a trend expected to grow with advancements in Big Data analytics.