Amazon Web Services (AWS)
What is Amazon Web Services (AWS) Self-Service Portal?
DGIT has configured a self-service portal version of Amazon Web Services (AWS) which enables you, the user, to deploy preconfigured AWS services, on-demand, that meet UCLA Health compliance requirements.
The self-service portal offers:
- Linux Servers (CPU & GPU)
- RStudio Server
- Jupyter Notebook (SageMaker)
- Mathworks Matlab (GUI)
- S3 Storage (Object storage)
- Staff provided
- On request
- Fee-based, dependent on group needs
All you need to do is ask
We would love to connect with you to determine if this solution fits your needs. Simply email DGITAWSInquiry@mednet.ucla.edu, and our expert team will be in touch to figure out the next steps.
Curious on how AWS works?
Check out our AWS training guides to learn a little more on the uses of the service offering.
Already have an account?
Simply submit a service request for help, and our expert team will be in touch to assist.Submit a request
- AWS is HIPAA-compliant to ensure security and reliability in all projects
- Cost of use is dependent on the server and storage needs along with a baseline for use of the HIPAA-compliant platform
- Direct billing to teams, no inter-department recharge tracking necessary
- For a break-down, check out our DGIT AWS cost sample PDF
- Servers and storage available on demand with ability to change specifications as needed within minutes
- Access to install software without need for IT involvement
- Reduced barrier for entry to leverage cloud computing by using pre-configured templates
Service frequently asked questions
- How much does the AWS service cost?
- The costs for data services vary on a case-by-case basis and depend largely on your needs.
- To get an idea of cost, visit our DGIT AWS Cost Sample PDF.
- Don’t worry—we’ll provide a detailed cost estimate before you commit to a project.
- How is this different from the campus AWS service offering?
DGIT's AWS is:
- Restricted to specific services and pre-configured templates
- Lower barrier for entry in terms of "cloud" knowledge
- Provides access to all AWS services
- Does not allow PHI/RI
- What are the differences between S3 vs Box and File Share?
- More suited for research data sets
- Unlimited file size and capacity
- Compatible with all file types
- Easily transfer data within AWS
- Currently, no auto-sync or mounting
- Costs based on usage
- More suited for administrative files (e.g. MS Office documents)
- Auto-sync with local computer with Box Sync
- Mount drive using Box Drive
- Limited to 15GB per individual file
- Some files types not compatible
- Costs are subsidized
- Suitable for administrative files and research data sets <10TB
- Limited capacity and growth
- Mount share from local computer
- Costs are subsidized
- What data is allowed on the different UCLA Health Cloud Infrastructures?
Data type DGIT
UCLA Health IT
Non-restricted data ✓ ✓ restricted data ✓ ✓ identified ucla health data ✗ ✓ discovery data repository (DDR) Extracts ✓ ✓
- Restricted Information is defined by the University California - Systemwide IT Policy Glossary https://security.ucop.edu/files/documents/policies/it-policy-glossary.pdf
- UCLA Health Data is defined as any information pertaining to the health, care, and treatment of UCLA Health patients or health plan members which: (1) results in a report used in treatment or monitoring of a patient; (2) generates a claim or a bill for services that are provided; and/or (3) is used for operations, financial management, population health activities or quality metrics.
- The Discovery Data Repository (DDR) is built upon a limited data set containing de-identified electronic UCLA health record data.
- Can you provide more information on the service offered?
- Web-based command line interface (CLI) running a Linux operating system.
- Ubuntu and Amazon Linux (RedHat-based) available.
- Optional Deep Learning baseline available. The Deep Learning baseline is a pre-configured system with the following apps pre-installed: TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit, Gluon, Horovod, and Keras.
- Options for both CPU and GPU processors.
- Web-based RStudio interface.
- Studio is an integrated development environment for R, a programming language for statistical computing and graphics. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
- Web-based Jupyter Notebook and JupyterLab via Amazon Sagemaker notebook instances.
- An Amazon SageMaker notebook instance is a machine learning (ML) compute instance running the Jupyter Notebook App. SageMaker manages creating the instance and related resources.
- Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
- JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data.
- Graphic, remote desktop-based Matlab interface.
- In this service, researchers can install other graphics-based applications in addition to Matlab.
- Matlab is a high-performance language and desktop environment tuned for iterative analysis, design processes, and expresses matrix and array mathematics directly.
- Amazon Simple Storage Service (S3) is a managed service that provides object storage that is persistent and durable for any amount of data.
- Object storage is a computer data storage architecture that manages data as objects, as opposed to other storage architectures like file systems which manages data as a file hierarchy, and block storage which manages data as blocks within sectors and tracks.