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The Research Behind the AI and Observability Innovation with Otmar Ertl and Martin Flechl

PurePerformance

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Navigating OpenTelemetry and Data Sampling

This chapter explores OpenTelemetry and the complexities of data sampling in observability, highlighting the significance of accurately capturing logs, metrics, and traces. The discussion emphasizes collaboration within the IT community to improve data quality and analytics, ensuring better understanding of system performance. It concludes with reflections on the evolving challenges in data management and the exciting future of AI advancements.

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