Observability has significantly evolved over the past 15 years, driven by companies like Dynatrace. At KubeCon + CloudNativeCon Europe 2025, Alois Mayr shared insights on how AI has reshaped observability, advancing it from a reactive approach to a proactive one. Initial challenges included real-time data collection and limited tools, but now observability provides actionable insights to improve system performance and security. Mayr highlighted three AI-enabled pillars of modern observability: self-healing, self-protecting, and self-optimizing, emphasizing the necessity of taking action in response to collected data.
The tools are no longer simply passive, just showing you the data; now it's about taking action.
Modern observability is built on three key pillars enabled by AI: self-healing, self-protecting, and self-optimizing.
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