The text discusses the challenges and strategies associated with scaling observability systems in growing organizations, emphasizing the importance of structured and intentional design for dashboards and monitors. As infrastructure and teams expand, the initial simplicity of observability setups can become fragmented, leading to redundant dashboards, noisy alerts, and unclear ownership, which can overwhelm teams and degrade incident response. To manage this complexity, the text suggests shifting from ad hoc setups to purpose-driven, scalable systems with consistent naming conventions, effective tagging, and clear ownership. It highlights strategies like dynamic thresholding, ownership-based alert routing, and continuous refinement of monitors to maintain an effective signal-to-noise ratio. Additionally, the text underscores the role of well-designed dashboards in supporting real-time decision-making and cross-team alignment, advocating for shared interfaces, consistent naming conventions, and reusable templates to facilitate scalable and effective observability practices. Tools like Datadog are recommended for implementing these strategies, offering features that support scalable monitor and dashboard management, ultimately leading to improved response times and greater confidence in system performance.