Nutrisense, a company that uses personal data to provide actionable health insights, improved its observability and monitoring practices by switching from Datadog to Better Stack, significantly reducing logging expenses. Their backend, built with Ruby on Rails and reliant on GraphQL, faced challenges with logging detail and cost, leading to a necessity for better solutions. The Nutrisense team developed a custom logger to capture essential contextual information, such as GraphQL operation names and user data, and integrated Better Stack to manage these enriched, structured logs efficiently. This transition allowed Nutrisense to perform more effective debugging and tracing, create custom dashboards for real-time performance tracking, and set up targeted alerts for anomalies. Consequently, Nutrisense achieved a scalable, cost-effective observability setup that met their needs without compromise.