AI agents are increasingly taking over software development, deployment, and operations, but they lack awareness of production environments without observability. The post argues that observability is a prerequisite for reliable AI-first software delivery, introducing a 'bimodal' model where human-led and agent-led teams coexist. A new KPI is proposed: the percentage of human intervention required, replacing traditional productivity metrics. Dynatrace positions its platform as the observability layer enabling both modes, offering agentic operations (SRE, Developer, Security agents) for human-led teams and closed-loop autonomous operations for agent-led teams, backed by a unified data lakehouse called Grail.

7m read timeFrom dynatrace.com
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The market reality: A bimodal worldObservability enables a reliable transition to autonomous operationsThe core problem: AI agents are blindThe Dynatrace response: Real-time observability for both worldsFor agent-led teams: develop and run software reliablyDifferent approaches – unified platform
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