In this session, DoiT will explore the Google Kubernetes Engine (GKE) implementation of the Gateway API, and how it differs from Ingress. This talk will expand upon the advantages and future capabilities as well as how to migrate from Ingress to Gateway with ease. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Learn about Snap's journey in developing a secure multi-tenant platform on Google Kubernetes Engine. This session dives into the elements used for service isolation in shared clusters, including container-hardening enforcements using a Kubernetes Admission Controller, identity separation using Workload Identity Federation, and access enforcements using Kubernetes Namespaces. We’ll also offer a comprehensive overview of our success, learnings, and trade-offs for building a platform that powers Snapchat's business applications.

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TwoSigma will provide an overview of its research and AI/ML Platform. The Google Kubernetes Engine-based platform seamlessly integrates with popular frameworks like Ray, Spark, and Dask allowing researchers to test investment strategies. This session will focus on the platform's architecture and capabilities and highlight a recent integration with Google Cloud's Dynamic workload Scheduler and Kueue providing researchers on-demand access to A100 and H100 graphics processing units.

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Launching a game is hard, but the pressure intensifies when your players are also fans of beloved franchises, such as Dragon Ball, Tekken, and My Hero. Delivering a perfect experience from day one requires a robust and scalable cloud infrastructure. Explore how Bandai Namco leveraged Google Cloud products like Redis, Memorystore, Google Kubernetes Engine, Spanner, and open-source games solutions to launch multiple gaming titles flawlessly. Whether you're a game developer, publisher, or platform provider, this presentation and panel discussion is about delivering high-scale consumer experiences.

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Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI development, performance optimization with caching, essential observability strategies, and more.

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Join iConstruye, a SaaS supply management company, as they detail their multi-phase digital transformation. They successfully migrated 135 VMs to a multi-zone Google Cloud deployment, slashing IT costs by 32%, followed by containerization on Google Kubernetes Engine, where they achieved a 25% reduction in time-to-market.

You'll gain actionable insights into their modernization strategy, including the emphasis on investing in training for their IT team on new cloud tools, reducing technical debt, and setting the stage for continued growth.

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Migrating high performance computing (HPC) workloads to the cloud presents unique challenges, as traditional on-premises infrastructure often clashes with cloud architectures, leading to operational and cost inefficiencies. Embracing core technologies like Google Kubernetes Engine and Google Cloud Storage offers a compelling solution to these hurdles. In this session, we explore PGS the transition of our entire HPC system to Google Cloud. This move allows us to run workloads five times larger than previously possible while reducing turnaround time by a factor of two.

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As machine learning (ML) systems continue to evolve, the ability to scale complex ML workloads becomes crucial. Scalability can be considered along two dimensions: expansive training of large language models (LLMs) and intricate distribution of reinforcement learning (RL) systems. Each has its own set of challenges, from computational demands of LLMs to complex synchronization in distributed RL.

This session explores the integration of Ray, Google Kubernetes Engine (GKE) and ML accelerators like tensor processing units (TPUs) as a powerful combination to develop advanced ML systems at scale. We discuss Ray and its scalable APIs, its mature integration with GKE and ML accelerators, and demonstrate how it has been used for LLMs and re-implementing the powerful RL algorithm, Muzero.

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This session features panel discussion with Snap Inc., and its journey from being born on Google App Engine to how they’ve been able to grow and serve 400M+ DAU powered by Google Kubernetes Engine. Learn about the business decisions behind this evolution, as we dive into the strategic approach delivered by Snap’s leadership throughout the company’s history as a digital-born customer.

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If you are curious how to accelerate developers innovation, inner sourcing and governance by taking Crème de la crème from Google Cloud developer toolset and open source that session is for you. Leverage best of OSS and GCP to make it easy. During presentation you will learn how to accelerate application and infrastructure delivery from Google Cloud in use of Kubernetes Resource Model, empowered by GKE Enterprise and Cloud Deploy and exposed to developers via OSS Backstage Portal. All ended with practical use case demo.

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Cloud-native applications can be complex, but securing them shouldn’t be. Learn how CrowdStrike Falcon Cloud Security enables DevOps and SecOps to discover weak spots in their container images, prevent malicious behavior on Kubernetes clusters, visualize sensitive data flows, and discover misconfigurations across all of their cloud accounts. This session is for anyone responsible for application or cloud security. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Deploying AI to production can be bafflingly complex. Learn how Google Cloud is bringing its over two decades of expertise in productionizing planet scale AI to our cloud customers with the AI Hypercomputer architecture. It’s a groundbreaking supercomputing architecture built on performance-optimized hardware (TPUs, GPUs), open software (PyTorch, Jax, Kubernetes), and tailored consumption models that optimize efficiency and productivity across AI training, tuning, and serving. Plus, gain valuable insights from our customers Kakao Brain and Nuro on their journey to deploying large scale AI on Google Cloud.

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In this session, you will learn how Rent the Runway (RTR) relies on MongoDB Atlas on Google Cloud to mix their automation hardware with their software, needing a robust, flexible, and intuitive data platform. We’ll dive into some reference architecture, highlighting some key integrations, such as Google Kubernetes Engine. We will then discuss RTR’s AI strategy, discussing how they’re approaching AI tools for their products. Lastly, we’ll discuss RTR and MongoDB’s mission of sustainability. Q&A to follow.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Introducing Google Kubernetes Engine (GKE) Threat Detection powered by Security Command Center (SCC). Event Threat Detection protects your use of Google Cloud from the Identity layer up through Network layer detections. Discover how GKE and SCC deliver a better-together integrated experience to detect threats against the container infrastructure.

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Large Language Models (LLMs) have changed the way we interact with information. A base LLM is only aware of the information it was trained on. Retrieval augmented generation (RAG) can address this issue by providing context of additional data sources. In this session, we’ll build a RAG-based LLM application that incorporates external data sources to augment an OSS LLM. We’ll show how to scale the workload with distributed kubernetes compute, and showcase a chatbot agent that gives factual answers.

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Worried about compliance for your platform and containers? Google Kubernetes Engine (GKE) has you covered. This session unlocks the power of GKE Compliance Posture, your real-time dashboard for proactive risk detection and continuous compliance. You’ll be able to see your entire GKE compliance landscape at a glance; stay ahead of risks with constant monitoring against industry standards; and get clear guidance to fix gaps and boost security. Plus, learn from SADA customers.

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Learn the fundamentals of building and deploying containerized workloads using Pulumi to manage infrastructure, an introduction to Pulumi’s IaC platform and deployment on AWS. The workshop covers setting up an Amazon EKS cluster on AWS and deploying containerized workloads to the cluster; designed to help new users become familiar with core concepts for deploying Kubernetes clusters and workloads on AWS.