WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2025 • Aug 20, 2025 • Session details

Reference Architecture of AI in the Cloud

Radu Vunvulea

AI isn't a standalone magic box. Bolting it onto outdated systems destroys performance. Learn to build the cloud-native reference architecture needed to scale AI workloads.

Pause
Mute Enter Fullscreen
#1 about 4 min

Why legacy cloud applications require updates for AI

Recognizing that existing cloud applications from different vendors may not be inherently ready to adopt and interact with AI workloads.

#2 about 4 min

Navigating AI service complexity and developer roles

The rapid proliferation of AI services across vendors continues to necessitate skilled application developers alongside data scientists.

#3 about 6 min

Overcoming challenges of cloud architecture for AI

Balancing auto-scaling limits, data consolidation, security compliance, and latency costs is critical when adding artificial intelligence capabilities.

#4 about 6 min

Critical success factors for application modernization

Key pillars for AI readiness include robust auto-scaling, unified data platforms, mature CI/CD pipelines, and deep system observability.

#5 about 5 min

Structuring compute and data services for AI models

Orchestrating Kubernetes for mixed compute capabilities, serverless functions for unpredictable payloads, and data catalogs for secure information discovery optimizes AI delivery.

#6 about 2 min

Building the supportive infrastructure around AI components

Providing the networking, application logic, and infrastructure surrounding core LLM outputs ensures holistic business functionality.

#7 about 3 min

Following a logical progression for cloud modernization

Transitioning legacy systems to AI-ready architectures requires stepping systematically through compute scaling, data consolidation, automation, and unified observability.

#8 about 2 min

Prioritizing event-based structures for AI architecture

Transforming foundational applications into strictly data-driven and event-based environments minimizes bottlenecks tied to inelastic infrastructure setups.

Matching moments

1:18 min

Simplifying AI deployments using architectural blueprints and reference implementations

Stephan Gillich Stephan Gillich · World Congress 2024

3:08 min

Modernizing legacy infrastructure for ai driven business transformation

Kai Grunwitz Kai Grunwitz +2 · World Congress 2025

2:46 min

Deploying AI agents for enterprise legacy code modernization

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

2:00 min

Reviewing key architectural decisions for federated AI computing

Jeremy Murray Jeremy Murray · World Congress 2026 Europe

1:43 min

Core foundations for successful artificial intelligence transformation

Alexander Birke Alexander Birke +1 · World Congress 2024

3:52 min

Establishing a structured framework for enterprise AI

Julian Joseph · LIVE

More from World Congress 2025

GenAI Security: Navigating the Unseen Iceberg thumbnail
24:33
11 months ago

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing

Behind the Code: How Women Are Powering the Future of AI thumbnail
30:28
about 1 year ago

Behind the Code: How Women Are Powering the Future of AI

Alexandra Wudel, Laura Moritz, Madalina Florean

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise? thumbnail
28:12
about 1 year ago

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer, Stephan Wirris

AI in Leadership: How Technology is Reshaping Executive Roles thumbnail
28:19
about 1 year ago

AI in Leadership: How Technology is Reshaping Executive Roles

Bernd Datler, Jasmin Kaiser, Jeff Hausmann, Sonja Alvarez

The AI-Ready Stack: Rethinking the Engineering Org of the Future thumbnail
28:09
about 1 year ago

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Alex Laubscher, Jan Oberhauser, Keno Dreßel, Mirko Novakovic

AI Sovereignty: What Does It Take? thumbnail
29:13
about 1 year ago

AI Sovereignty: What Does It Take?

Boris Hecker, Clemens Wasner, Robin Hermann, Sonja Alvarez

Related videos

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact thumbnail
23:33
World Congress 2025 • about 1 year ago

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact

Oliver Will

Navigating the AI Wave in DevOps thumbnail
54:46
LIVE • over 2 years ago

Navigating the AI Wave in DevOps

Raz Cohen

Bringing AI Everywhere thumbnail
26:25
World Congress 2024 • about 2 years ago

Bringing AI Everywhere

Stephan Gillich

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More thumbnail
1:09:49
LIVE • over 2 years ago

Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More

Simi Olabisi

Running AI at Scale: The Secret Ingredients thumbnail
30:04
World Congress 2026 Europe • 3 months ago

Running AI at Scale: The Secret Ingredients

Boris Hecker, Max Tschochohei, Peter Kürpick, Tomislav Tipurić

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.