GKE Autopilot: Your Kubernetes Vacation

Tired of the complexities of managing Kubernetes clusters? Let GKE Autopilot automate node management, scaling, and security while you focus on your applications. In this session, we'll explore the powerful features of GKE Autopilot, compare it to standard GKE, and discuss security and best practices while including real-world use cases. Discover how Google Cloud's GKE Autopilot can simplify your Kubernetes life and make your development experience a breeze.

Architecting for Uncertainty: Patterns for Sovereign Operations in Emerging Markets

Building sovereign clouds in the EU is challenging, but engineering for the emerging markets in the Middle East requires a fundamentally different approach where data laws are the primary source of instability. In this session, Ahmad and Majd present a technical blueprint for navigating a landscape where data classification mandates evolve rapidly and cross-border failover is often legally impossible. We will demonstrate extendable sovereignty architectural patterns which decouple compliance from application logic, allowing teams to adapt to new regulations without a refactor. We dive into specific implementations, including Single-Country High Availability strategies that ensure resilience within strict jurisdictional boundaries, and solving data gravity by running local AI inference with KServe to meet evolving residency requirements. Attendees will explore the use of Kyverno to enforce multi-jurisdiction compliance, proving that code must be as agile as the laws that govern it.

From Facade to Federation: Redefining Modern API Management

In today's distributed architectures and AI APIs, the promise of agility can quickly become a nightmare of complexity. This session tackles the challenge of API sprawl by charting a course from the classic Facade design pattern—the bedrock of the modern API Gateway—to the advanced concept of API Federation for governing APIs at scale across diverse teams and cloud environments.
Drawing on practical techniques from leading platforms like Google's Apigee, this session demonstrates how to enforce enterprise-grade security, manage API traffic using granular quotas and rate-limiting, perform sophisticated mediations to orchestrate and transform data, and unlock new value streams through robust monetization strategies for enterprise API products.

Session History:
- Xpand Conference 2025
- DevFest Riyadh 2025

From Data to Decisions: Machine Learning with BigQueryML

Join us for an end-to-end journey into the world of modern cloud data. In this session, we will break down the fundamentals of data warehousing and introduce Google BigQuery as a highly scalable solution for analyzing massive datasets. Once the foundation is set, we will bridge the gap to artificial intelligence by exploring BigQuery Machine Learning (BQML). You will discover how to train, evaluate, and deploy powerful predictive models without moving data or learning complex Python libraries and only using just standard SQL.
The session concludes with a live, hands-on demonstration showing exactly how quickly a functional machine learning model can be built directly within the data warehouse to solve real-world problems.

Session History:
Build with AI Essex

Build serverless data pipelines on Google Cloud

Data is only as valuable as the pipelines that process it. In this hands-on workshop, you will learn how to architect and deploy highly scalable, serverless data pipelines on Google Cloud. Through guided exercises, you will master two distinct approaches to data integration: building code-driven pipelines, and designing visual, zero-code workflows using Cloud Data Fusion. Whether you are transforming raw inputs or routing clean data into BigQuery, you will leave with the practical skills needed to automate and accelerate your data workflows without ever having to manage the underlying infrastructure.

Building an Intelligent Data Warehouse with Gemini and BigQuery

As organizations strive to make sense of increasingly complex data landscapes, the convergence of robust data architecture and generative AI has become paramount. This hands-on workshop explores the evolution of enterprise data platforms, starting with the foundations data warehouses. At the core of this transformation is Google Cloud’s BigQuery, a powerful, serverless enterprise data warehouse designed for massive agility and scale. Participants will gain practical experience leveraging Gemini directly within BigQuery to supercharge their analytical workflows. Through interactive labs, attendees will learn how to write and debug SQL using AI assistance and deploy generative models directly on their datasets to analyze sentiments and unlock actionable insights, ultimately mastering the blueprint for a truly intelligent data ecosystem.