For decades, DevOps has focused on automation.

We built CI/CD pipelines, Infrastructure as Code, observability platforms, and deployment systems that execute work reliably and consistently.

But automation still depends on human attention.

Someone reviews the dashboards. Someone investigates the alerts. Someone decides whether an infrastructure change is safe. Someone maintains the honeypots. Someone keeps Infrastructure as Code aligned with reality.

As our systems continue to grow, human attention - not compute - has become the scarce resource.

This talk introduces Autonomous DevOps: an approach to engineering operational systems that no longer require our limited focus for routine decisions while remaining observable, auditable and trustworthy.

Autonomy does not mean giving AI unrestricted control.

It means identifying operational tasks that are verifiable, reversible and contained, allowing them to execute safely within clearly defined boundaries while humans remain responsible for the strategy, architecture and exceptions.

Using practical examples - including autonomous honeypot management, Infrastructure as Code coverage, infrastructure rightsizing and observability noise suppression - we’ll explore how DevOps teams can gradually move from automation to autonomy without compromising reliability or security.

Finally, we’ll look at why Trust Engineering becomes the foundation that makes Autonomous DevOps possible.

Key Takeaways

• What Autonomous DevOps is and why it extends traditional automation.
• Why human attention has become the limiting factor in operating cloud-native systems.
• A practical framework based on verifiable, reversible and contained operations.
• Real-world examples of autonomous operational workflows.
• How Trust Engineering provides the guardrails that make autonomy practical.