This hands-on lab equips you with the practical skills to create and optimize secure, high-throughput VPN connections within the Google Cloud environment. You'll learn to establish secure IPsec Virtual Private Network (VPN) tunnels between Google Cloud and external networks, including techniques for distributing traffic across multiple tunnels to maximize bandwidth. Through hands-on exercises, including VPN creation, configuration, and performance testing using iperf, you'll gain the confidence to design and implement robust and scalable VPN solutions for your specific needs.

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!

Jeff, Head of Product at Hugging Face, will walk you through the latest and greatest from Hugging Face to build your own AI models, agents and applications using open models, open source and Google Cloud. Learn how to easily deploy the latest LLM on Vertex AI and GKE, how to accelerate and scale your models on TPU.

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!

Leverage the best of Ray and Google Kubernetes Engine (GKE) to build your next-generation machine learning (ML) platform. Google and Anyscale are making Ray and Kubernetes the distributing operating system for AI/ML. Discover how on GKE, Ray enables you to deliver a unified platform to scale your workloads from development to large-scale production. Learn about GKE’s latest advancements for fast data access, intelligent scheduling, and optimized utilization of hardware accelerators, and how Ray and Anyscale RayTurbo are enhancing that with best-in-class performance, efficiency, and developer productivity. Leave this session equipped to build a scalable AI/ML platform to empower your researchers and engineers.

Maximize performance with innovations in Compute Engine. Come learn about the latest innovations and portfolio additions from Compute Engine. Learn about new virtual machines (VMs) that are purpose-built to deliver leadership performance for all your workloads, including AI and machine learning (ML), databases, enterprise applications, and network and security compliances. Understand how to pick the right VM. We’ll cover product capabilities, best practices, and announce exciting new products targeted at making it easy for you to operate your Compute Engine environment.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

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.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

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!

Transform your high performance computing (HPC) with Google Cloud. Join this session to learn how Parallelstore, advanced tools, and expert support accelerate performance, reduce costs, and boost innovation. Optimize your HPC environment for maximum efficiency and gain a competitive edge. Explore the future of HPC and transform your organization.

This session demonstrates several areas of how Cloud Assist can help to design, operate and optimize your Cloud applications via examples.

To stay competitive against cloud-native disruptors, Carrefour Spain launched a cloud-first strategy with Google Cloud, transforming IT for agility, scalability, and cost-efficiency. In this session, learn how NTT DATA helped Carrefour leverage IaaS, PaaS, and serverless tools, migrating 382 workloads and deploying SAP Hana across 200+ hypermarkets. Discover how Carrefour's new e-commerce platform powered by Kubernetes accelerates innovation and drives online growth, helping them outpace competitors.

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.

Scaling Google Kubernetes Engine (GKE) effectively can be complex. This session dives into the challenges and solutions for managing GKE at scale, from cost optimization and security to AI workloads. Learn how enterprises like Dun & Bradstreet leverage GKE as a secure and scalable platform for their generative AI initiatives.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

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.

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.

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.

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.

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.

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!

The convergence of high performance computing (HPC) and generative AI is revolutionizing research. By analyzing vast datasets and generating novel hypotheses, researchers can accelerate innovation and breakthroughs. This session explores the exciting possibilities of gen AI in research, from climate modeling to drug discovery and beyond.

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.