Go 1.24 unlocks the power of WebAssembly (Wasm) with new tooling for building high-performance edge applications. In this session, we’ll show you how to leverage the speed, security, and portability of Go to create low-latency Wasm modules that run on Google Cloud’s Service Extensions. We’ll also show you how Shopify uses Go and Service Extensions to move more application logic to the edge to reliably serve millions of customers.

Discover the cutting edge of foundation model development with JAX on Google Cloud. This session will showcase the latest advancements in the JAX ecosystem, including optimized performance on TPUs and GPUs. Explore new, high-performance models powered by MaxText and MaxDiffusion, delve into enhanced JAX libraries and Stable Stack packages, and learn about advanced diagnostics tools. Gain insights into how leading customers and partners are leveraging JAX on Google Cloud to build and deploy next-generation foundation models at scale.

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

This session shows how engineers can use Gemini Cloud Assist and Gemini Code Assist to speed up the software development life cycle (SDLC) and improve service quality. You’ll learn how to shorten release cycles; improve delivery quality with best practices and generated code, including tests and infrastructure as code (IaC); and gain end-to-end visibility into service setup, consumption, cost, and observability. In a live demo, we’ll showcase the integrated flow and highlight code generation with GitLab and Jira integration. And we’ll show how Gemini Cloud Assist provides deeper service-quality insights.

This session provides an in-depth look at the Google infrastructure that powers our most demanding AI workloads. We’ll explore the journey from custom silicon, high-bandwidth networking and storage to the software frameworks that enable efficient, large-scale training and inference with industry-leading goodput and uptime across the largest GPUs and TPU clusters. Learn how Google’s unique approach to system design and deployment enables customers to effortlessly achieve Google-level performance and scale for their own applications.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

This session demonstrates how to integrate Gemini Code Assist into your development workflow to boost productivity and code quality. Learn specific techniques for using Gemini Code Assist and actionable strategies to incorporate it into your daily practice.

Traditional infrastructure-centric monitoring provides a limited view of your applications. This session explores the benefits of shifting to an application-centric approach, enabling you to proactively identify performance bottlenecks, optimize resource utilization, and reduce costs. Learn how Google Cloud’s out-of-band (OOB) application-centric observability tools like App Hub, distributed tracing, application-specific signals such as logs and metrics, and service level objective (SLO) monitoring, can help you achieve optimal performance and cost efficiency for your cloud-first applications.

eBPF has revolutionized Kubernetes networking. Cilium, the leading eBPF-based container networking interface (CNI), is now emerging as a standard on major cloud providers like Google Kubernetes Engine (GKE). It provides superior scalability, security, and observability compared to traditional CNIs. eBPF also powers Hubble for network & security insights and Tetragon for runtime security enforcement. Find out how to leverage these tools to get the most out of your GKE cluster.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

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This session showcases how Gemini Code Assist revolutionizes end-to-end Java application development. Join us to learn how to accelerate each development stage – from backend to frontend and testing. Discover how to leverage Gemini code generation, completion, and debugging features. Explore how to enhance productivity and build robust, high-quality applications faster. And take away practical methods and techniques for integrating Gemini Code Assist into your workflow.

Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

Cloud Run is an ideal platform for hosting AI applications – for example, you can use Cloud Run with AI frameworks like LangChain or Firebase Genkit to orchestrate calls to AI models on Vertex AI, vector databases, and other APIs. In this session, we’ll dive deep into building AI agents on Cloud Run to solve complex tasks and explore several techniques, including tool calling, multi-agent systems, memory state management, and code execution. We’ll showcase interactive examples using popular frameworks.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

Harness the power of AI agents with rich conversational experiences. This session will cover the practical applications of AI agents and how your teams can use them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your business workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents.

Supercharge your applications and drive revenue growth with Looker Embedded. This session reveals how to seamlessly integrate powerful data experiences and AI-driven insights directly into your products. Discover how to increase customer engagement, unlock new revenue streams, and gain a competitive advantage. Learn how to reduce development time and costs by leveraging the robust Looker platform. Join us to learn how Looker can help you transform your applications and deliver actionable intelligence to your customers.

You name it, we’ll build it. If a demo feels too polished without enough opportunities for things to go wrong, then let’s throw out the script and do it live. We’ll pick a JavaScript framework and a database, and then build a full-stack application from scratch. If you’re a full-stack application developer or a frontend or backend developer wondering how everything ties together in a modern application, this will be an exciting ride worth joining – no Google Cloud experience required.

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.