• [Photo] Vijayaraj Nagarajan April 2, 2019
    May 30-31, 2019
    National Institutes of Health
    9000 Rockville Pike
    Building 60, Room 162
    Bethesda, MD 20892, USA
    https://faes.org/biotech73May

    OBJECTIVES

    Participants will create and access cloud instances (renting and using a windows or linux machine), set security, configure storage, create snapshots, create images, up or down scaling the resources, monitoring resources, billing and perform routine tasks.

    BACKGROUND

    Cloud offers computers with one to hundreds of cores and megabytes to terabytes of memory, on a hourly basis, from pennies to dollars and on-demand, for anyone who can use a computer and internet. This democratizes the high performance computing that everybody can use.

    Hands-on Skills/Tools Taught:
    • Cloud platform: Amazon Web Services (AWS)
    • Cloud platform: Google Cloud Platform
    • Cloud platform: Azure – Microsoft Cloud Platform
    • Computing: AWS Elastic Cloud Compute (EC2)
    • Computing: Secure Shell, Secure File Transfer (SSH/SFTP)
    • Computing: AWS Identity and Access Management (IAM)
    • Computing: AWS CPU, GPU, Cluster
    • Standards: GovCloud
    • Pricing: On-demand, spot, reserved
    • Storage: AWS Simple Storage Service (S3)
    • Storage: AWS Elastic Block Store (EBS)
    • Storage: AWS Volumes, Snapshots, Amazon Machine Images (AMI)
    • BigData: Hadoop, MapReduce, DynamoDB, Serverless computing
    • Monitoring: CloudWatch
    • Marketplace: MolBioCloud

    HIGHLIGHTS

    • Participants will be provided with step-by-step walk through instructions to setup, configure, secure, monitor and access computing resources rented in public cloud infrastructures.
    • Training provided by active NIH researchers
    • Cookbook style manual for all exercises
    • Direct, after training support through exclusive forum membership

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