Trainings & Events

• AWS Lunch & Learn Series

  Research IT is partnering with AWS to host this series of training workshops. Take advantage of this unique opportunity to learn directly from an AWS Solutions Architects about leveraging AWS for research computing. Whether you’re a researcher, faculty member, or graduate student, this session will help you optimize your research workflows using AWS services.

  Topic: S3 Essentials for Research Data Management (Hands-on Learning)

  Thursday, October 15, 2026, 11am - 1pm
  SDSC 408

  Join us for an interactive AWS Lunch and Learn session where you'll learn directly from an AWS Solutions Architect about leveraging AWS for research computing.  

  Amazon S3 (Simple Storage Service) is the most widely adopted AWS service among researchers worldwide, thanks to its scalability, durability, and ease of use. Now in its 20th year, S3 continues to evolve with features that make it even more powerful for research workloads. As research data volumes keep growing, understanding how to leverage S3 effectively is critical for maintaining security, controlling costs, and ensuring operational excellence. 

  In this session, you will learn how to: 

  • • Secure Your Data: Protect sensitive research data with S3 security best practices and new secure-by-default settings 
    • Optimize Storage Costs: Cut costs with storage classes, Intelligent-Tiering, and lifecycle policies (now with no 30-day IA minimum) 
    • Monitor and Observe: Track usage, access patterns, and operational health with tools like S3 Metadata 
    • Explore What's New for 2026: Put the latest innovations to work — S3 Tables (Iceberg analytics), S3 Vectors (AI/ML and semantic search), and 50 TB object support for large research datasets 

   

  This session is ideal for researchers, data engineers, and IT professionals who: 

  • • Have struggled with S3 security configurations, unexpected storage costs, or lack of visibility into their data usage 
    • Want to avoid these common pitfalls before they start using S3 
    • Are already using S3 and need to address existing challenges with best practices 

  
  Register Now! 

  Lunch will be provided by AWS

  Brought to you by Research IT Services

   

Join us for a hands-on session focused on the practical steps researchers and IT teams take to move from an idea to a running workload in Azure! 

Using a simple, hypothetical research computing scenario, we'll walk through the entire process:

• Budgeting for Grants: Learn how to estimate cloud costs for a grant or funding request, featuring a live demonstration of the Azure Pricing Calculator for an infrastructure-based virtual machine solution.
• Hands-On Deployment: Complete the journey by deploying that workload directly in Azure, giving you a practical view of how to translate a funded project from concept into an operational environment.