Keynotes & panels featuring industry leaders from Google, AWS, IBM, PayPal, Bank of America, Capital One, Visa, JPMorgan Chase, Hyatt Hotels Corporation, United Nations, Fireworks AI, WaveAI, EA, Dropbox, Ancestry, Oracle, LinkedIn, and more.

Generative AI is revolutionizing app development, demanding a robust network architecture capable of supporting distributed, cross-cloud deployments. This session dives into the essential networking strategies for building and deploying these next-generation applications. Discover new technologies to establish secure, reliable, and high-performance connectivity spanning Google Cloud, multicloud, and hybrid networks. Explore how to seamlessly integrate service-centric architectures to accelerate developer velocity without compromising security.

When choosing a cloud provider to host its gaming infrastructure, EA SPORTS™ was searching for highly reliable networking performance as well as robust DDoS protection solution. EA decided to migrate its gaming servers infrastructure from another Cloud provider to GCP and selected new Google Cloud Armor protection dedicated for VMs with public IPs, including support for GKE workloads, to protect its gaming servers and enhance its DDoS resiliency. Electronic Arts (EA) is a global leader in digital interactive entertainment. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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In this talk, we share the lessons learned while building a scheduler-as-a-service leveraging Apache Airflow to achieve improved stability and security for one of the largest gaming companies. The platform integrates with different data sources and meets varied SLA’s across workflows owned by multiple game studios. In particular, we present a comprehensive self-serve airflow architecture with multi-tenancy, auto-dag generation, SSO-integration with improved ease of deployment. Within Electronic Arts, to provide scheduler-as-a-service and to support hundreds of thousands of execution workflows, each team requires an isolated environment with access to a central data lake containing several petabytes of anonymized player and game metrics. Leveraging Airflow, each team is provided a private code repository and namespace with which they can deploy their DAGs at their own behest. To support agile development cycles, a private testing sandbox and auto-deployment to an isolated multi-tenant airflow platform has been made available to game studios. In production, a single dockerized airflow deployment on Kubernetes is utilized to ensure highly availability and single-step deployment. Custom SSO-integration and RBAC-based operator and sensor whitelisting allows for secure logical isolation. In addition, providing dynamic DAG instantiation capability helps address varied SLA’s during game launch seasons that are staggered through a financial year.