The core idea behind observability is to not only monitor but also manage digital environments effectively through comprehensive understanding, with AI like machine learning algorithms enhancing this process significantly.
AI in observability helps companies automatically identify anomalies, conduct root-cause analysis, provide useful insights, and predict possible issues in complex systems where human monitoring is challenging.
The need for AI in observability arises from the complexity and rapid data growth in modern systems, enabling the processing of large amounts of data to identify patterns, anomalies, and trends effectively at scale.
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