Leveraging years of experience building internal platforms at Google, this session offers actionable insights for Google Cloud customers on creating effective development ecosystems. Learn how to prioritize safety, efficiency, and reliability through the interplay of platform engineering, feature development, and Site Reliability Engineering (SRE). Whether you’re a seasoned Google Cloud user or new to platform engineering, this talk can help you optimize software delivery, operations, and achieve your business goals.

Tired of juggling disparate tools and processes in your software development life cycle (SDLC)? This session explores how a multi-agent platform powered by AI can streamline your workflow and boost productivity. We’ll dive into how specialized agents for code review, testing, documentation, and modernization work together to enhance code quality, accelerate delivery, and free your developers to focus on what matters: creativity and innovation. Discover how this approach can transform your SDLC for the better.

Join experts from Dun & Bradstreet, Home Depot, and Snap Inc. for a discussion on the future of observability and platform engineering. This session explores the current state of the industry and dives deep into the top five predictions for the years to come. Gain valuable insights into emerging trends and prepare your organization for the next evolution of observability.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

Ready to take your Day 2 operations to the next level? This session is your one-stop shop for mastering Day 2 ops in 2025. We’ll cover everything you need to know, such as leveraging observability and AI agents for DevOps use cases, building application-centric observability, and optimizing for cost and utilization on Google Cloud. This roundup session explores a variety of products and updates in the Day 2 space, giving you the tools and knowledge to supercharge your operational efficiency and drive innovation.

Drive the next wave of AI innovation with Google Cloud databases. This Spotlight session explores cutting-edge innovations that enable you to modernize your database estate to quickly build gen AI apps, unify transactional and analytical workloads for real-time insights, and simplify database management with assistive AI. Join us to witness the future of Google Cloud databases, exclusive product announcements, insightful demos, and inspiring customer stories.

Explore how AI agents and assistants are transforming Software Logistics, bringing intelligence to cloud application delivery. This session demonstrates practical applications of AI in deployment automation, configuration management, and runtime optimization. Discover how Platform Engineers leverage AI to create more efficient delivery systems. Learn design strategies from automated security scanning to intelligent deployment decisions, and how to integrate these capabilities into your existing platform engineering practices.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Empower your teams to innovate and drive digital transformation with AppSheet, and discover how business users can easily create AI-enabled solutions that address their needs without coding skills. Learn how Gemini in AppSheet can accelerate AI adoption and the digitization of labor by empowering users to rapidly create apps that bring their ideas to life and automate complex tasks. Then join a fireside chat with customers to hear how they’re using Gemini in AppSheet to drive innovation and reduce risk in a secure environment.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

Generative AI is revolutionizing app development, demanding a robust network architecture capable of supporting distributed, cross-cloud deployments. This session dives into the essential networking strategies for building and deploying these next-generation applications. Discover new technologies to establish secure, reliable, and high-performance connectivity spanning Google Cloud, multicloud, and hybrid networks. Explore how to seamlessly integrate service-centric architectures to accelerate developer velocity without compromising security.

Debugging modern applications demands a new level of observability expertise. Traditional monitoring struggles with these complex distributed environments. This session goes beyond dashboards, exploring expert observability strategies tailored for the generative AI era. We’ll cover essential instrumentation with OpenTelemetry and eBPF, system health overviews using Metrics Explorer and Trace Explorer, and in-depth data analysis with SQL queries in Observability Analytics.

We live in a different era – one where developers need access to larger tools, data and code need to be more secure, and ultimately still more work needs to get done. Learn about methods on Google Cloud to leverage remote development effectively for all your software development needs, from Day 1 to production. You’ll experience Cloud Shell in action, how Cloud Workstations powers your AI development needs, and container and developer tools that make deployment simple. Power to the devs.

Having difficulty translating desired outcomes into optimal cloud architecture for your apps? Join the session to learn about Application Design Center and its integration with Gemini Cloud Assist. We will showcase how it helps platform engineers and application architects translate ideas into deployable applications with unprecedented speed and simplicity. Explore with us its intuitive interface for designing, customizing, and deploying applications on Google Cloud with AI assistance, and leave with practical skills and tips for your next project.

Discover the power of Google Cloud’s fully managed, horizontally scalable relational database service—Cloud Spanner. In this hands-on lab, you'll gain practical experience in performing essential administrative tasks within a Cloud Spanner instance. Learn how to create instances and databases, design tables, insert and modify data, and leverage the Google Cloud CLI and automation tools for efficient management.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

CNAPP has always been about protecting cloud applications, and with the rise in automation and AI-scaled attacks, incidents in the cloud are unfolding faster than ever. AI-powered Cloud Detection and Response (CDR) has emerged to help teams stop cloud attacks faster than ever. Join us to learn how Palo Alto Networks is transforming security operations with a unified platform built on a single agent for cloud and endpoint security,offering best in class runtime protection.Detect, investigate, and shut down cloud attacks faster with Precision AI.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Explore how to design a customer service chatbot that prioritizes privacy and security using a multi-agent system and Gemini. We’ll cover the benefits of multi-agent architecture and share 10 best practices to safeguard user data and privacy. Experience a live demo that illustrates agent collaboration and external tool integration in action. Don’t miss this session to see how Gemini can help you deliver a secure, customer-friendly chatbot solution.

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Simplify database management with Database Center. This generative AI-powered solution provides a centralized view of your entire database fleet, helping you monitor availability, security, compliance, and data protection. In this session, you’ll learn how to easily detect performance issues, visualize granular metrics, and get AI-powered recommendations for optimization. You’ll also discover how customers are streamlining their database operations and boosting efficiency with Database Center.

This session showcases an end-to-end generative AI application on Google Cloud. We’ll demonstrate how to use Gemini 2.0 Flash to analyze user-uploaded images, extract features, and generate descriptions stored in AlloyDB. Then we’ll show you how to fine-tune Gemini 2.0 Flash with BigQuery and generate outfit recommendations with AlloyDB low-latency querying. Finally, we’ll use the output from Gemini 2.0 Flash and Imagen 3 to create visuals of the outfits and deploy the entire solution on Cloud Run.

AI is reshaping software engineering. Learn how Google’s engineering team prioritizes transformative AI investments for both immediate and long-term value.