Learn how a financial services company successfully transitioned its petabyte-scale logging platform from an on-premises environment to a scalable, cost-effective, and secure solution on Google Cloud. This talk will delve into the key phases of their journey, including rigorous benchmarking, scale testing, and the implementation of seamless log ingestion. Explore how the solution leveraged Terraform-driven automation to efficiently manage over 250,000 resources and preserved existing content such as searches, alerts, and dashboards.

This talk offers demonstrations and live discussions on how to rapidly deploy production-ready GKE or Slurm clusters using Cluster Toolkit and Terraform. Leverage the latest GPUs to accelerate machine learning workloads and optimize resource utilization with GKE's Kueue, autoscaling Slurm, and Dynamic Workload Scheduler (DWS). Explore storage solutions like Google Cloud Storage (GCS), GCSFuse, Filestore Zonal, and Parallelstore. Leave this session with the tools and knowledge you need to deploy a high-performance ML cluster in minutes.

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!