Analyze OpenTelemetry traces and log data at scale to optimize application performance

In the rapidly evolving digital landscape, application teams face challenges in managing vast amounts of telemetry data and logs, as traditional monitoring tools often lead to fragmented insights and incomplete visibility. This complexity is exacerbated in multicloud environments, where the volume of data is beyond human capacity to effectively manage, leading to inefficiencies and hindering collaboration. To address these issues, Dynatrace offers a curated OpenTelemetry collector, enhancing data collection and providing robust visualization tools that allow teams to identify performance bottlenecks, troubleshoot effectively, and optimize system reliability in complex microservices architectures. The Dynatrace platform also integrates AI-supported insights and distributed tracing to streamline operations and reduce downtime, while its Grail data lakehouse facilitates comprehensive log analysis without the need for predefined schemas or manual correlation. By embedding automation throughout the software development lifecycle, Dynatrace promotes seamless collaboration and innovation, ultimately enabling application teams to extract actionable insights and maintain high system performance.

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