Managing apps in the cloud can be complex. With your app’s footprints in many places across the platform, simply staying informed can be challenging. How do you know if your app is meeting performance targets? How can you optimize costs or anticipate the impact of maintenance? Join this session to learn about a new user experience on Google Cloud that will greatly simplify cloud operations by centralizing essential information and insights so you can focus on what matters most. Speakers will share the story of how they built it and show you how to leverage it to boost the efficiency of your everyday job.

Learn how Database Migration Service can help you modernize your SQL Server databases to unleash the power of cloud databases and open source PostgreSQL! Convert your SQL Server schema and T-SQL code to PostgreSQL dialect with a click of a button in the DMS Conversion Workspace. Some objects could not be fully converted? Gemini can suggest a fix. Not yet familiar with PostgreSQL features? Ask Gemini to teach you how to convert SQL Server features to PostgreSQL equivalent ones. While Gemini is there - ask it to optimize the converted code or add some comments to explain the business logic. Once your database is fully converted and optimized you can migrate the data with minimal downtime using the change data capture powered migration job and complete your migration journey.

Build more capable and reliable AI systems by combining context-aware retrieval-augmented generation (RAG) with agentic decision-making in an enterprise AI platform, all in Java! This session covers everything from architecture, context construction, and model routing to action planning, dynamic retrieval, and recursive reasoning, as well as the implementation of essential guardrails and monitoring systems for safe deployments. Learn about best practices, trade-offs, performance, and advanced techniques like evaluations and model context protocol.

This session dives into the latest advancements in securing and managing your Cloud Run workloads at enterprise scale. Join us to learn about new features and techniques to meet the highest security standards, strategies for managing large-scale deployments, and solutions to common issues like IP exhaustion. Plus, one of our customers will share their firsthand experience managing a massive fleet of Cloud Run workloads.

Generative AI agents have emerged as the leading architecture for implementing complex application functionality. Tools are the way that agents access the data and systems they need. But building and deploying tools at scale brings new challenges. Learn how MCP Toolbox for Databases, an open source server for gen AI tool management, enables platforms like LangGraph and Vertex AI to easily connect to enterprise databases.

Join us for an interactive session where we’ll build, deploy, and scale inference apps. Imagine creating and launching generative AI apps that deliver personalized recommendations and stunning images, all with the unparalleled efficiency and scalability of serverless computing. You’ll learn how to build gen AI apps effortlessly using Gemini Code Assist; deploy gen AI apps in minutes on Cloud Run, using Vertex AI or on-demand, scale-to-zero serverless GPUs; and optimize the performance and cost of AI workloads by implementing best practices.

Learn how to evaluate and optimize the impact of AI-assisted software development with Gemini Code Assist. This session covers processes for measuring AI-assistance effectiveness, exploring quantitative and qualitative measures available with Gemini Code Assist, and integrating with Cloud Monitoring and Cloud Logging. Discover how to leverage DevOps Research and Assessment (DORA) metrics to track productivity gains. Whether you’re a developer, team lead, architect, or IT manager, you’ll gain insights into measuring the impact of AI assistance.

AI-enabled browser agents are in the news now, but it’s not always clear how they solve real-world problems. In this session, we’ll share our experience building a web browser agent by integrating Gemini into an end-to-end service that follows text instructions to take actions in a web application. We’ll take you through our journey of creating the agent, share the research that inspired us, and show how we’ve used the system to tackle practical problems like validating user flows in the UI and semantically checking web links.

This talk demonstrates a fashion app that leverages the power of AlloyDB, Google Cloud’s fully managed PostgreSQL-compatible database, to provide users with intelligent recommendations for matching outfits. User-uploaded data of their clothes triggers a styling insight on how to pair the outfit with matching real-time fashion advice. This is enabled through an intuitive contextual search (vector search) powered by AlloyDB and Google’s ScaNN index to deliver faster vector search results, low-latency querying, and response times. While we’re at it, we’ll showcase the power of the AlloyDB columnar engine on joins required by the application to generate style recommendations. To complete the experience, we’ll engage the Vertex AI Gemini API package from Spring and LangChain4j integrations for generative recommendations and a visual representation of the personalized style. This entire application is built on a Java Spring Boot framework and deployed serverlessly on Cloud Run, ensuring scalability and cost efficiency. This talk explores how these technologies work together to create a dynamic and engaging fashion experience.

Maximize the efficiency of your machine learning workloads on Google Cloud infrastructure. This session delivers actionable strategies for in-depth diagnostics on both TPUs and GPUs. Learn to visualize model architectures, analyze critical performance metrics, and pinpoint optimization opportunities. Empower your data-driven decision-making and achieve significant performance gains through practical diagnostic techniques.

Unlock the power of your application logs with Google Cloud Logging. This hands-on lab provides hands-on experience using Cloud Logging to gain deep insights into your applications, particularly on Google Kubernetes Engine. Learn to build effective queries and proactively address potential issues.

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!

This session provides a Google thought-leadership perspective on the importance of product-led growth for all organizations and how it can complement and accelerate sales-driven strategies. We’ll explain how we’ve scaled software-as-a-service (SaaS) product-led growth principles to Google Cloud, and we’ll illustrate how Google Cloud can be the ideal partner for creating, analyzing, and optimizing product-led growth efforts to drive incremental revenue without increasing sales head count.

Experience a live demo of Google Cloud’s approach to mainframe modernization using generative AI. This demo will showcase the modernization life cycle, from initial assessment to code rewrite to risk mitigation. We’ll illustrate how our agentic approach streamlines the modernization process, reducing time, budget, and resource requirements. And we’ll demonstrate how to minimize the risk of modernizing business-critical applications through testing and by enabling parallel execution of both original and modernized applications with Dual Run.

AI is transforming software development, but not always for the better. The 2024 DORA report reveals that AI adoption resulted in a 7.2% regression of delivery stability for software, highlighting the industry's overemphasis on velocity. This session will explain how to flip the script on AI’s role in software development, and drive better development and delivery outcomes with new innovations from Google Cloud and beyond, freeing developers to focus on customer value.

Whilst GenAI has brought conversational experiences to the forefront, the next generation of web interfaces will demand more than just chat interactions. Instead, delivering highly personalized experiences requires a powerful blend of search, dynamic multimodal visual elements, and conversational interactions. In this session, discover how Valtech, the experience innovation company, is leveraging Vertex AI Agent Builder and Gemini with React to redefine experiences on the web.

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.

Want to run AI workloads that are both performant and sustainable? Join L’Oreal and Google Cloud as they reveal how L’Oreal leverages Google Cloud’s powerful suite of tools to gain unprecedented insights into the cost, performance, and carbon footprint of their AI models. This session showcases how L’Oreal measures, reports, and reduces their environmental impact on Google Cloud, offering practical strategies and actionable takeaways for anyone looking to optimize their cloud efficiency and environmental responsibility.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering,  empowering you to build important apps, services, and agents faster than ever.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering,  empowering you to build important apps, services, and agents faster than ever.

Discover how Elastic Cloud Serverless and Google Vertex AI empower the creation of AI-driven search applications with effortless scalability. This session explores Elastic's intuitive serverless architecture and dynamic scaling, integrating with Google Vertex AI to create world class search experiences. Learn how this powerful partnership simplifies deployments and accelerates innovation for modern search, observability, and security workloads.

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.

As AI reshapes the way we think about trust and security, GitHub is leading the charge in transforming application security. Join Brittany O’Shea, GitHub Sr. Director of Product Management, as she showcases how AI-driven advancements are revolutionizing detection, prevention, and remediation. Discover how these innovations empower developers to build secure, high-quality software by embedding security as a default, dramatically improving the nature of application security for the better.

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.

Picture this: You pull up to your favorite drive-thru, but instead of the usual crackly intercom, a friendly AI agent greets you by name, already knows your go-to order, and suggests the perfect milkshake to complement your burger. Join us in discovering how the Food Ordering AI Agent can radically improve customer satisfaction and increase employee efficiency while generating upsell revenues. 

Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Learn how a team of developers built a serverless toolkit with Cloud Run to simplify application development and deployment. This session shares best practices from Shopify for creating a robust toolkit that empowers developers to seamlessly ship serverless applications while integrating with essential Google Cloud services and adhering to security best practices. Discover how to enhance scalability, reduce toil, and boost productivity.

Applications of the future require a database that transcends historical paradigms. They require advanced in-database capabilities like Graph RAG, vector and full-text search without compromising on critical database properties of compliance, scale, and availability. In this talk, you'll learn how Spanner's native search and interoperable multi-model capabilities enable your developers to build intelligent, global applications on a single, zero-ETL (extract, transform, and load) data platform.