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.

Join us for a deep dive into the latest advancements in Gemini Code Assist. This session will unveil exciting new features designed to boost productivity, enhance software quality, and streamline modernization efforts.

Google brings together the scalability, reliability and ease-of-use of Firestore with MongoDB compatibility. The session will showcase Firestore with MongoDB compatibility and its capabilities. In addition, Mayo Clinic will present their use of Firestore for multiple workloads including using Firestore’s GenAI capabilities for delivering personalized experiences in their applications. 

Automation enables engineering teams to reduce duplication of effort and build consistency around various processes, especially observability. Providing out-of-the-box solutions and using infrastructure as code are some of the ways to automate your systems so all of your teams can onboard and get all the right features. In this talk, we will discuss how Datadog and Project44 have created self-service platforms so their engineers can automatically obtain observability into their systems.

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.

What if gameplay evolved with each player? GenAI + Gemma makes it real! This open model creates dynamic experiences through fine-tuning & flexible deployment (local/Cloud Run GPU). See natural conversations & adapted gameplay via live demos, possibly live coding. Discover practical implementation & architecture insights. Let's skip the slides and jump to the fun.

Discover how machine learning (ML) engineers and app developers collaborate to build a viral AI app. This session takes you on a journey from a screenshot-to-calendar Python app running on a laptop to a globally scaled app. You’ll learn best practices for collaboration between ML engineers and app developers; how to build, refactor, and scale an AI app to millions of users with a modern architecture; and how to leverage the power of Gemini, Vertex AI, app hosting, and full-stack development. Find out how to build something greater than the sum of its parts!

The way we build software is fundamentally changing with AI-centric tools. In this session, learn how to build and ship full-stack AI apps faster with the newly launched Firebase Studio. Find out how your codebase becomes context for Gemini, enabling powerful agentic capabilities in your editor. Generate and modify code, execute commands – all with natural language prompts. And leave with strategies to ship better software, quicker.

Level up your Java apps with the power of Gemini. This session explores how Java developers can easily integrate generative AI features into their applications using LangChain4j. We’ll cover everything from building chatbots and implementing in-context learning to creating agentic workflows and using advanced techniques like unstructured data extraction. Learn best practices and build smart, AI-powered Java applications with ease. No Python experience required.

Join this session for a deep dive into how Firebase is empowering developers, with a focus on creating agentic experiences that amplify your capabilities and streamline your workflow. Learn about our latest innovations, upcoming features, and commitment to fostering a thriving developer community. Whether you’re a seasoned Firebase developer or just getting started, join us to gain valuable insights and inspiration for your next app.

Supercharge your development workflows with Google Cloud’s internal developer platform (IDP). In today’s world of microservices and multi-region deployments, building and maintaining your own IDP can be complex. This talk unveils Google Cloud IDP – a game-changing solution that offloads development and operational burdens to Google Cloud, freeing your platform engineers and empowering developers to focus on what matters most: building amazing applications. Experience it in action with live product demos.

Discover the breakthrough AI capabilities transforming cloud operations and management. Join us for an overview of Gemini Cloud Assist and learn how it brings you an AI-based cloud management experience. Gemini Cloud Assist empowers you to design and deploy apps faster, troubleshoot issues with AI insights, and optimize performance and costs through intelligent recommendations. We’ll showcase its new capabilities and integrations in various Google Cloud products, and show you how it can completely reshape your cloud management experience.

Leverage Google Cloud Observability when instrumenting your code with logging, monitoring, and tracing capabilities. Try it out yourself in one of the popular programming languages, such as Java, Python, JavaScript, or Go.

Find out how advanced development tools in Vertex AI can significantly improve your model development workflow.

Seamlessly search your first and third party enterprise data with Google Agentspace. Discover its ready-to-use agents and other upcoming features, transforming how you work and access information.

Check out Google’s recommended architecture for bringing agents to your products, powered by Gemini, Firebase, Google Cloud, and Angular.

Use generative AI to suggest gardening products to customers based on their specific needs. We use Genkit to help users determine what’s wrong with their house plants and which gardening products could help revive those plants.