As modern IT systems grow too complex for humans to effectively manage, there's growing interest in turning to autonomous AI agents for operations. While powerful, these agents introduce new challenges around trust, reliability, and control. To explore how to solve for this, Red Hat CTO Chris Wright speaks with Bernd Greifeneder, Founder and CTO of Dynatrace [LINK: https://www.dynatrace.com], a company that has long focused on managing complexity with AI. Bernd Greifeneder shares his industry insights and expertise on: • The evolution from simple application architectures to massive, ephemeral microservices environments that are beyond human-scale to manage. • Balancing creative, generative AI with fact-based, causal AI to create a reliable and deterministic foundation for autonomous operations. • The critical need for high-quality, real-time data to create a "digital twin" of a production environment, enabling true root cause analysis instead of just correlation. • Why building trust is the biggest challenge for agentic AI and how a "human-in-the-loop" approach is essential before handing over the keys. Tune in for an in-depth discussion on the future of autonomous IT. This conversation is critical for any SRE, developer, or technology leader preparing to manage not just their systems, but the AI agents that will run them.