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.

Introduce how easy it can be to build a fully function Flutter app with Firebase Backend. It's fast, easy, and fully function with Front-end UI, and backend task (using Cloud Function), database (Firestore), storage (Cloud Storage), and more. Additional tips on Vertex AI and Gemini in both Flutter and Cloud Function will be added if time allows.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Dive into Firebase Genkit, an open-source framework for building production-ready AI applications. This hands-on lab guides you through creating a Genkit project using the Gemini Flash foundation model. You'll learn to define flows and prompts, leverage the Genkit developer user interface, and gain insights from flow and prompt traces. Experience the power of Genkit to build innovative AI applications with ease.

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!

Companies in the fiercely competitive gaming landscape face constant pressure to create engaging and ever-evolving player experiences. Generative AI can help game developers craft more dynamic, personalized gameplay while reducing time to market. Major game studios are leveraging Google Cloud’s cutting-edge AI capabilities to create immersive player experiences, personalized chatbots, dynamic character interactions, and user-generated content. We’ll show you how you can use Google Kubernetes Engine to easily integrate gen AI with game servers.

PostgreSQL is one of the most popular open source databases for application development.  Furthermore, native support for vector search makes PostgreSQL an excellent choice for generative AI app development too. Learn why Google Cloud is the best place for your PostgreSQL workloads across Cloud SQL, AlloyDB and Spanner database offerings. Also hear from Salesloft about their journey to Google Cloud and how they chose which database service to select for their workloads.