Managing modern systems increasingly depends on robust observability, with the ELK stack (Elasticsearch, Logstash, Kibana) historically serving as a popular open-source solution for log management. However, as organizations scale, maintaining the ELK stack can become challenging due to resource demands, rising costs, and increased complexity. Transitioning to a SaaS observability platform offers a strategic alternative by simplifying operations and providing advanced features like AI-powered anomaly detection and unified interfaces for logs, metrics, and traces. SaaS platforms also alleviate the burden of manual updates, security patches, and scaling, allowing teams to focus on innovation and strategic work. While the initial appeal of DIY ELK may be cost-effectiveness, hidden expenses and operational inefficiencies often prompt organizations to consider SaaS options, which offer predictable pricing and enhanced security features. The migration to a SaaS platform entails careful planning and a strategic approach, enabling businesses to unlock long-term observability value and facilitate scalable, data-driven growth.