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.

This hands-on lab equips you with the essential skills to manage and automate your infrastructure using Terraform. Learn to define and provision infrastructure resources across various providers using HashiCorp Configuration Language (HCL). Explore core concepts like resource dependencies and understand how to safely build, change, and destroy infrastructure using Terraform's declarative approach. This hands-on experience will empower you to streamline deployments, enhance consistency, and improve overall infrastructure management efficiency.

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!

Mayo Clinic Platform (MCP) will share their experience building an Internal Developer Platform (IDP) and how it has significantly accelerated developer onboarding and deployment to their network, including the Mayo Clinic Care Network (MCCN) when hosted. This platform has been a key driver in rapidly delivering innovation, which has historically been challenging in healthcare. Eviden played a crucial role as a key partner in the initial development, and MCP is progressively taking on more internal ownership to support future scaling and growth.

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Learn how to run high-throughput and low-latency inference on Google Cloud to maximize price-performance on TPUs and GPUs, leveraging JetStream and vLLM.

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!

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!

Generative AI is revolutionizing mainframe modernization, enabling organizations like the Air Force to achieve unprecedented speed and efficiency. Google's Mainframe Modernization tool leverages AI to analyze legacy code, identify modernization pathways, and accelerate the transition to modern architectures. This allows the Air Force to reduce costs, improve security, and maintain a competitive edge. Join this session to learn how Gen AI can help future-proof your own organization.

In this session, we'll explore best practices for developing next-gen Agentic apps powered by Gen AI for consumer goods brand innovation teams. Learn about the technical architecture, essential frameworks, and tools for scalable solutions. Discover strategies for intuitive user interactions and review real-world case studies. Join us to gain valuable insights and practical strategies for creating innovative and impactful Agentic apps.

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AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

This technical deep dive explores how small IT teams can leverage Google Kubernetes Engine (GKE) and AI Hypercomputer to build, refine, and optimize a cutting-edge, scalable, and secure container platform for AI workloads.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Ever wonder how Google Cloud supports billions of daily users worldwide? Dive into the world of Google’s cloud regions, global expansion, and data centers. This session unveils the innovative technology behind these modern marvels and the operational expertise that keeps them humming. Learn about our cutting-edge efficiency and state-of-the-art security. Discover how innovation and sustainability is key to our design and how you can apply Google’s best practices to your own infrastructure.

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.

Cluster Director is designed to deliver resilient AI systems at any scale, offering exceptional performance, efficiency, and ease of use. In this session, we’ll guide you through our NVIDIA GPU roadmap and showcase five Google innovations integrated into Cluster Director, illustrated with real-world examples of how they tackle the biggest challenges in distributed training to maximize performance throughput.

Optimize AI training, & inference with TPUs and GPUs - the purpose built accelerators behind AI Hypercomputer.

Discover how semiautonomous agents reduce manual effort and accelerate business outcomes with AI-powered experiences for data discovery, data preparation, analysis, and insight generation.

Explore how the open source Data Migration Tool can help with end-to-end automation for Teradata to BigQuery migration, including schema migration, data migration, and schema & data validation.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.