In this session, we will discuss (1) Workload Selection: how do we identify the workloads to migrate to the cloud; (2) Workload Migration: how do we acquire specialized tools and develop the skills to migrate and manage workloads across multiple environments; (3) Cloud-native Technology: how to utilize GKE for cloud-native apps including APIs, containers, and microservices to enhance agility and scalability.

Utilizing our EHR Recruitment Manager (EHRMa) SalesForce platform, the Participant Recruitment Program at UCSF has sent out over 100,000 recruitment request to patients in just the last year. Our teams have spent the last 5 years building, using, and refining this platform to allow multi-channel (SMS, email, MyChart, and letter) outreach to potential research participants.

Spark is a student-centered web application combining rich student data, Canvas data, and student support resources into a secure, personalized dashboard aimed squarely at helping students succeed in their desired academic pathways. In this session, we will explain - how we architected Spark in C# .NET to be campus-portable - how we utilized the Unizin Data Platform to integrate and normalize data from the SIS and LMS. - how we built the Canvas LTI integration - challenges and solutions - our AWS Cloud infrastructure - our plans for the future and increasing scalability

UCLA Health has embarked on an ambitious multi-year effort to replace an extensive collection of fragmented legacy data platforms with a unified cloud-based analytics infrastructure powered by Microsoft Fabric. In this session, technical and strategic leaders from UCLA and Microsoft will detail how this transition is fundamentally reshaping the organization’s data capabilities—enhancing data performance, minimizing redundancy, and significantly accelerating analytical insights.

The UCSF-SFDPH DeID OMOP database integrates EHR data from UCSF Health and SFDPH. UCSF Health primarily serves insured patients, while SFDPH provides accessible healthcare regardless of insurance or immigration status. This integration enhances research in population health and health equity by offering a unified patient database with broad demographic and socioeconomic representation. Our team developed detailed methodologies and transparent data mapping processes, including a global patient identifier and extension tables for health system data differentiation.

The project represents a significant achievement in modernizing the university's financial infrastructure. This panel discussion will delve into the critical lessons learned from this complex, multi-year initiative, focusing on both the technical and functional aspects of the project. Featuring representatives from both the technical and functional teams, the panel will explore the challenges faced, the innovative solutions implemented, and the long-term impact of this transformation.

In this session, we will share our experience migrating our Learning Management System from on-premises to AWS. We will walk through designing a scalable and secure cloud infrastructure using CloudFormation, automating deployments with AWS CodePipeline, orchestrating containers with ECS Fargate, and managing databases with Amazon RDS. The migration process involved moving code via GitHub, files with AWS DataSync, and the database through DBMS export/import.

The Merritt Digital Preservation System consists of 7 microservices running across 26 servers running in AWS. This system has been in operation for over a dozen years. For the past 5 years, our team has been on a DevOps journey. Our goal is to deploy all of our services using infrastructure as code. Once complete, we want to be able to scale each of our microservices up and down to meet current processing demands. Our team consists of 3 developers and a product manager.

Ensuring the safety of students and staff during emergencies is crucial. Our innovative platform leverages data analytics to enhance emergency preparedness in educational institutions. By integrating data from multiple sources, we create a golden contact record for each individual, ensuring reliable contact information. Utilizing GIS mapping and geocoding, it provides precise location tracking and targeted responses. Our automated notification system streamlines communication, reducing response times and improving efficiency.

Business users often need people data from systems like UCPath, legacy-PPS, student systems, and non-employee data in the identity and access system. This fragmentation requires artful unions and frequent rework for similar requests across departments. To address this, we developed PersonDim, a master person registry. PersonDim merges people data from myriad systems. This evolving constellation of tables-now in its third iteration-serves as a comprehensive source for people data, tracking changes in identity, job, and status over decades.