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From Traditional Monitoring to AI-Enhanced Observability
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Limitations of Traditional MonitoringTraditional monitoring approaches have served IT operations for decades, providing basic visibility into system health through predefined metrics and thresholds. However, these conventional methods face significant limitations when confronted with modern, complex environments:Static Thresholds and Rules Traditional monitoring relies heavily on manually defined thresholds and rules. These static configurations cannot adapt to changing conditions, leading to alert storms during unexpected but normal variations, or missed alerts for subtle issues that fall below predefined thresholds.Metric-Focused Approach Conventional tools concentrate primarily on collecting and displaying metrics, offering limited context about the relationships between different system components. This makes it difficult to understand the broader impact of performance anomalies or to identify root causes.Reactive Problem Detection Traditional monitoring is inherently reactive, ide...
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