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Explore the challenges and realities of applying data science in the observability space through this 22-minute conference talk from DevConf.cz Mini. Delve into the world of service observability, understanding its role in producing metrics, logs, and traces to reason about software's internal state. Learn about the recent developments in distributed architecture and microservices, and how they've impacted observability. Discover the intersection of AI/ML and observability, examining the availability of sophisticated open-source tools. Gain valuable insights from real-world project experiences, focusing on practical lessons learned rather than theoretical applications of advanced machine learning models. Understand the needs and obstacles faced when working with observability data, providing a realistic perspective on the current state of applied data science in this domain.
