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Cut through the noise with segments: simple, powerful, and dynamic data filtering

Blog post from Dynatrace

Post Details
Company
Date Published
Author
Christoph Enzinger
Word Count
1,263
Company Posts That Month
16
Language
American English
Hacker News Points
-
Post removed?
No
Summary

Dynatrace segments offer a streamlined approach to managing large volumes of observability data by allowing users to filter information based on specific contexts such as applications, regions, or Kubernetes clusters. These segments act as multidimensional, dynamic, and secure filters, adapting to changes in systems and maintaining user-specific data visibility across Dynatrace Apps without needing to reapply filters. They are designed for scalability and are governed by access management policies to ensure data security. Segments enhance efficiency by enabling users to quickly pinpoint relevant data for troubleshooting, monitoring service-level objectives, and investigating security threats. Users can create and share segments to facilitate organization-wide data views, and the platform supports both simple and advanced filtering for detailed analysis. By focusing on specific contexts, segments help reduce data noise, allowing teams to respond swiftly to issues and maximize their operational impact.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 4 986 177 85 -38%
Observability 4 1,883 347 119 -9%
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