Traditional log analysis and troubleshooting processes require extensive manual effort, making it difficult for teams to extract meaningful insights from complex observability data. Organizations struggle with time-consuming log parsing, lack of contextual understanding, and slow problem resolution cycles. Teams often spend hours analyzing patterns that could be identified instantly, while missing critical insights buried in massive datasets, leading to delayed incident response and reduced operational efficiency.