World Congress 2025 • Aug 20, 2025 • Session details

AI-Augmented DevOps with Platform Engineering

Romano Roth

Throwing AI at broken systems won't fix your engineering bottlenecks. Learn how an internal developer platform eliminates ticket ops and turns AI into a governed, scalable asset.

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#1 about 3 min

Speaker background and the vision for cybernetic transformation

An overview of the speaker's software engineering experience and the necessity of automation across organizational value streams.

#2 about 6 min

Navigating the hype and realistic expectations of artificial intelligence

How the present surge in artificial intelligence investments mirrors the dot-com bubble and breeds unrealistic automation expectations.

#3 about 3 min

Defining the cybernetic enterprise and targeted operating models

Why fixing broken processes and configuring proper operating models are strictly required to build self-regulating businesses.

#4 about 2 min

Designing internal developer platforms and product team responsibilities

How dedicated platform engineering teams assemble standardized tools to help product groups operate applications completely independently.

#5 about 3 min

Demonstrating architecture and floating platform integration patterns

Using the floating platform pattern to seamlessly combine various cloud providers and essential devops workflows without duplication.

#6 about 2 min

Integrating scalable artificial intelligence capabilities into developer platforms

Treating artificial intelligence features as simple platform capabilities ensures governed access and allows fast transitions between generative models.

#7 about 3 min

Demonstrating developer platform administration and automated workspace provisioning

A live walkthrough of an internal platform showing straightforward user administration, simple partner onboarding, and standardized network management.

#8 about 4 min

Executing security scans and leveraging centralized observability pipelines

Integrating code repositories directly enables continuous vulnerability scanning, automated infrastructure synchronization, and straightforward metric visualizations for developers.

#9 about 2 min

Enabling financial responsibility with transparent cost and emission tracking

Displaying infrastructure costs and carbon emissions clearly makes development teams directly accountable for the financial operations involved.

#10 about 3 min

Summarizing the shift to self-service models and cybernetic systems

The ongoing necessity of transitioning away from manual ticket-based routines toward comprehensive architectures incorporating automated internal capabilities.

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Scaling AI adoption to non-traditional enterprise developers

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2:35 min

The future of artificial intelligence in platform engineering operations

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3:50 min

Introduction to cloud native infrastructure and platform engineering

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