Radu Vunvulea

Reference Architecture of AI in the Cloud

Adding AI is more than a new service. It demands a foundational modernization of your entire cloud architecture, from data lakes to MLOps.

Reference Architecture of AI in the Cloud
#1about 2 minutes

Preparing existing cloud applications for AI integration

Many existing cloud applications are not ready for AI, similar to how a classic car is not ready for an electric charger.

#2about 5 minutes

Navigating the complex landscape of AI cloud services

Cloud vendors offer a rapidly changing and complex array of AI services, requiring continuous learning to select the right tools.

#3about 5 minutes

Overcoming key challenges in cloud AI adoption

Integrating AI requires addressing challenges like application performance degradation, data silos, compliance versus innovation, and managing costs.

#4about 6 minutes

Core pillars for a successful AI implementation

A successful AI integration depends on modernizing applications with auto-scaling, unified data platforms, mature CI/CD pipelines, and robust observability.

#5about 5 minutes

Essential cloud services for building AI architectures

Key services like Kubernetes, serverless functions, data fabrics, API gateways, and data catalogs form the foundation of a robust AI architecture.

#6about 3 minutes

Understanding the full scope of an AI solution

A reference architecture diagram reveals that AI services are only a small component of a complete solution, which requires extensive supporting infrastructure.

#7about 2 minutes

A step-by-step flow for AI modernization

Follow a structured modernization process focusing on compute, data, and DevOps before integrating AI, and finish by adding comprehensive observability.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

Increasing the value of talk recordings post-event
04:57 MIN

Increasing the value of talk recordings post-event

Cat Herding with Lions and Tigers - Christian Heilmann

Organizing a developer conference for 15,000 attendees
01:32 MIN

Organizing a developer conference for 15,000 attendees

Cat Herding with Lions and Tigers - Christian Heilmann

Selecting strategic partners and essential event tools
03:17 MIN

Selecting strategic partners and essential event tools

Cat Herding with Lions and Tigers - Christian Heilmann

Establishing a single source of truth for all data
02:39 MIN

Establishing a single source of truth for all data

Cat Herding with Lions and Tigers - Christian Heilmann

Why corporate AI adoption lags behind the hype
03:28 MIN

Why corporate AI adoption lags behind the hype

What 2025 Taught Us: A Year-End Special with Hung Lee

The future of recruiting beyond talent acquisition
03:15 MIN

The future of recruiting beyond talent acquisition

What 2025 Taught Us: A Year-End Special with Hung Lee

Moving beyond headcount to solve business problems
04:27 MIN

Moving beyond headcount to solve business problems

What 2025 Taught Us: A Year-End Special with Hung Lee

Breaking down silos between HR, tech, and business
03:39 MIN

Breaking down silos between HR, tech, and business

What 2025 Taught Us: A Year-End Special with Hung Lee

Featured Partners

Related Videos

See all videos
Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact23:33

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

Oliver Will

AI-Augmented DevOps with Platform Engineering27:33

AI-Augmented DevOps with Platform Engineering

Romano Roth

Bringing AI Everywhere26:25

Bringing AI Everywhere

Stephan Gillich

The AI-Ready Stack: Rethinking the Engineering Org of the Future28:09

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

Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel

How AI Models Get Smarter35:16

How AI Models Get Smarter

Ankit Patel

Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More1:09:49

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

Simi Olabisi

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure26:35

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents26:54

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents

Marcel Scherenberg

Related Articles

View all articles
CH
Chris Heilmann
With AIs wide open - WeAreDevelopers at All Things Open 2025
Last week our VP of Developer Relations, Chris Heilmann, flew to Raleigh, North Carolina to present at All Things Open . An excellent event he had spoken at a few times in the past and this being the “Lucky 13” edition, he didn’t hesitate to come and...
With AIs wide open - WeAreDevelopers at All Things Open 2025

From learning to earning

Jobs that call for the skills explored in this talk.