Dynatrace argues that teams have adopted the right reliability practices but need better context and real-time visibility to make them work for AI systems.
Site reliability engineering (SRE) is maturing, but AI workloads are making reliability harder to define, validate and automate, Dynatrace says. The company argues that adopting the right practices isn’t enough: teams need better context and real-time visibility to apply them to AI-era systems.
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Dynatrace argues that teams have adopted the right reliability practices but need better context and real-time visibility to make them work for AI systems.
Site reliability engineering (SRE) is maturing, but AI workloads are making reliability harder to define, validate and automate, Dynatrace says. The company argues that adopting the right practices isn’t enough: teams need better context and real-time visibility to apply them to AI-era systems.
The New Stack@thenewstackAI is changing the reliability game for SREs from @Dynatrace
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The New Stack@thenewstackAI is changing the reliability game for SREs from @Dynatrace
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