Mohammed Aboullaite — Software Engineer at Spotify.

Stop struggling to unlock the transformative power of AI. This session flips the script, revealing how your existing Kubernetes expertise is your greatest advantage. We'll demonstrate how Google Kubernetes Engine (GKE) provides the foundation for building scalable, custom AI platforms - empowering you to take control of your AI strategy. Forget starting from scratch; leverage existing skills to architect and deploy AI solutions for your unique needs. Discover how industry leaders like Spotify are harnessing GKE to fuel responsible innovation, and gain the insights to transform your Kubernetes knowledge into your ultimate AI superpower.

Step into the journey from startup to IPO with exclusive insights from Spotify. Discover how to navigate pivotal moments on the growth path, from evolving your organizational structure to tackling major architectural shifts that prepare you for an expanding customer base. Learn how cutting-edge AI can be your ally in streamlining operations, scaling with precision, and making data-driven decisions that set you apart.

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.

Platform engineering is revolutionizing software delivery. Discover how leading organizations leverage it to accelerate time to market and reduce operational overhead. This panel of experts will share real-world implementation strategies, lessons learned from common challenges, and insights into the future of this rapidly evolving field. Together, we’ll also explore new research findings on best practices and the key pillars for successful platform engineering adoption. Join the session to gain actionable strategies to enhance the developer experience, foster collaboration, and attract top talent to your team.

Managing petabytes of Google Cloud storage objects? Attend this session to learn how the new Storage Intelligence product simplifies managing billions of objects across thousands of buckets. Leverage AI-driven insights to analyze cost, performance, security, and compliance – all through intuitive natural language queries. Quickly act on insights with bucket relocation and batch operations. Join us to uncover practical tools and exciting new features that can transform you into a Cloud Storage superhero.

Google's Data Cloud is a unified platform for the entire data lifecycle, from streaming with Managed Kafka, to ML feature creation in BigQuery, to global deployment via Bigtable. In this talk, we’ll give you a behind the scenes look at how Spotify's recommendation engine team uses Google's Data Cloud for their feature pipelines. Plus, we will demonstrate BigQuery AI Query Engine and how it streamlines feature development and testing. Finally, we'll explore new Bigtable capabilities that simplify application deployment and monitoring.

Unlock the potential of AI with high-performance, scalable lakehouses using BigQuery and Apache Iceberg. This session details how BigQuery leverages Google's infrastructure to supercharge Iceberg, delivering peak performance and resilience. Discover BigQuery's unified read/write path for rapid queries, superior storage management beyond simple compaction, and robust, high-throughput streaming pipelines. Learn how Spotify utilizes BigQuery's lakehouse architecture for a unified data source, driving analytics and AI innovation.

In this session, we'll dive into deploying Java apps using Google Cloud's serverless platform. Designed for Java developers, it offers practical insights into consideration, challenges, tips and tricks for deploying JVM applications in Serverless platforms. We’ll also cover other best practices across different part of the application lifecycle, such as CI/CD pipelines, security, and observability. Through interactive demos, learn to build, secure, and monitor Java applications efficiently.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Take the next step in your AI/ML journey with streaming data. Learn to deploy and manage complete ML pipelines to run inference and predictions, classify images, run remote inference calls, build a custom model handler, and much more with the latest innovations in Dataflow ML. Learn how Spotify leveraged Dataflow for large-scale generation of ML podcast previews and how they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Enterprises are operating in hybrid and multi-cloud environments, data is becoming more distributed, and AI has brought an inflection point for enterprises looking to gain business agility. The network is the fabric that connects these workloads and ensures business critical information is available to act. Join us to learn how Google Cloud Network can secure, streamline, and scale your network to ensure your business runs effectively.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Cloud DNS offers reliable, resilient, low-latency DNS serving from Google's worldwide network. Cloud DNS offers a broad range of DNS services that allow you to architect and govern your DNS infrastructure combining on-premises, third-party cloud and Google Cloud DNS services. Deep-dive into DNS architecture patterns to scale DNS across your VPCs in Google Cloud according to your governance and ownership structure requirements, and deliver resilient, optimized delivery of your cross-cloud, hybrid and global applications. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Spotify set out to create the best DevEx in the world. Backstage, our open-source developer portal, has been a central piece of that journey. Learn about the problems we wanted to solve, and how we concretely measure Backstage's ROI. We'll also peek at how Spotify is evolving Backstage in the future.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.

Stop struggling to unlock the transformative power of AI. This session flips the script, revealing how your existing Kubernetes expertise is your greatest advantage. We'll demonstrate how Google Kubernetes Engine (GKE) provides the foundation for building scalable, custom AI platforms - empowering you to take control of your AI strategy. Forget starting from scratch; leverage existing skills to architect and deploy AI solutions for your unique needs. Discover how industry leaders like Spotify are harnessing GKE to fuel responsible innovation, and gain the insights to transform your Kubernetes knowledge into your ultimate AI superpower.