Industries are integrating generative AI (GenAI) such as large language models (LLMs) to transform the observability market, aiming to simplify issue diagnosis and reduce alert fatigue for site reliability engineers.
LLMs excel at analyzing unstructured text to provide high-quality insights for production troubleshooting, particularly in root cause analysis. Integration of LLMs in observability strategies is still a learning process for the industry.
The right text inputs for LLMs should include relational heuristics to model connections between different layers of the environment, contributing to generating valuable insights about potential issues.
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