This guide from Dynatrace explains how to optimize cloud transitions using intelligent observability. It outlines the challenges of cloud complexity—like data volume, ephemeral services, and siloed monitoring—and how legacy tools fall short. It highlights Dynatrace’s AI-powered platform, which unifies metrics, logs, and traces for real-time visibility, root-cause analysis, and automation. A case study on the State of Minnesota shows how Dynatrace enabled proactive service optimization and innovation. The guide concludes by urging public agencies to adopt modern observability to improve user trust, reduce risk, and accelerate transformation.

Join for free to read