Segments empower centralized teams to dynamically organize data at petabyte-scale

Centralized teams managing vast amounts of observability data face challenges in providing real-time, contextually relevant data access while ensuring data governance and security. To address these challenges, organizations must maintain both technical and business context across fast-moving data streams, which is complicated by inconsistent tagging and static enrichment rules. Dynatrace offers a solution with its introduction of "Segments," a dynamic, multidimensional data segmentation approach that enhances data filtering by applying user, team, or application-specific context at query time. This approach allows centralized teams to manage data more efficiently, reducing maintenance efforts and enabling real-time, personalized data access without compromising performance or compliance. It decouples backend data organization from frontend usage, supporting thousands of users across various organizational roles and providing enterprise-grade manageability. Dynatrace's architecture ensures efficient data ingestion, exploration, and analysis, supporting real-time filtering across massive datasets and allowing users to tailor their data views through customizable segments.

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