Logging is often inadequate for modern systems, leading to frustration for developers trying to troubleshoot issues. The article argues that traditional logging practices are outdated, designed for simpler architectures where issues could be reproduced easily. Today’s applications involve multiple services, databases, and caches, resulting in a flood of log lines that lack meaningful context. The author emphasizes that simply adding tools like OpenTelemetry won’t solve these problems; they merely standardize how data is collected without addressing the core issues of logging. A significant point made is the inadequacy of string searches in logs. When searching for specific user actions, logs can present data in varying formats, making it difficult to correlate events. The author introduces concepts like structured logging, cardinality, and dimensionality, explaining that high-cardinality fields and wide events—rich, context-laden log entries—are essential for effective debugging. Instead of logging what code is doing, developers should log what happens to each request, consolidating relevant information into a single entry. The article outlines a practical approach to implementing wide events. It suggests building a comprehensive event throughout the request lifecycle and emitting it once at the end. This method allows developers to query structured data rather than sifting through unorganized text. By leveraging this structured format, teams can run analytics on their logs, making it easier to identify issues quickly and accurately. The proposed solution aims to transform how developers interact with logs, shifting from reactive searching to proactive analysis.