Research on AWS

• Genomics Research • Statistical Analysis • Mathematical Modeling • Computational Fluid Dynamics • Grid/Cluster/High Performance Computing Research use cases on AWS (examples)

“ We can create an algorithm that • Carat is an application for mobile devices that uses big data to can take 32, 64, 128 different analyze energy productivity and improve cell phone battery life cores, and make it accessible to • By using AWS, UC Berkeley’s anyone in the world. researchers are able to focus on research, analysis, and customer Howard Salis service instead of administering Ph.D., Assistant Professor, Penn State computing resources • The Biological Engineering Department scaled to meet” the demands of more than 6,000 users, who have designed more than 50,000 synthetic DNA sequences Global Impact Initiatives for Science

AWS Research Grants AWS Hosted Public Datasets AWS SciCo Team

•Dedicated team focusing on Scientific Computing & Research workloads •Globally focussed and engaged in Big Science projects like the SKA. •Leveraging AWS resources all over the world. •Ensuring the cloud is able to make a disruptive impact on • Grants to initiate & support science. development of cloud-enabled • Large and globally significant datasets hosted technologies. and paid for by AWS for community use. • Typically one-off grants of AWS • Data can be quickly and easily processed resources like EC2 (compute) or S3 & with elastic computing resources in the EBS (storage) or more exotic like Kinesis surrounding cloud. & twitter feeds. • AWS hopes to enable more innovation, more • Frequently results in reusable resources, quickly. like AMIs or open data, which we • Provided in partnership with content strongly encourage. owners, who curate the data. • Lowers the risk to try the cloud. Peering with global research networks

Image courtesy John Hover - Brookhaven National Lab Universities All-In on AWS (examples) How?

Begin with the end in mind Try it– migrate something you now to AWS Think Differently – bust paradigm Learn Collaborate with central IT Get help Learning Tools

Social Media: Online: Resources: Twitter YouTube Channel Resources Official Blog Training and Webinars + Certification Video Self-paced Labs Examples

Learn more at: https://aws.amazon.com/education Big Data

Collect Store Analyze Share

Direct Connect S3 EC2 S3 EMR

AWS Import/Export DynamoDB Amazon Data Pipeline Redshift AWS Big Data Portfolio Amazon Glacier

Amazon Kinesis: A fu l l y managed service for real-time processing of streaming data, at any scale.

21 Storage, Backup, and Archiving

On-Premises AWS Storage Gateway File sharing and seamless backup of enterprise data to Disaster Block File Archive Backup Amazon Elastic Block Store Recovery Persistent block storage for EC2 Amazon S3 Gateway Appliance/ Redundant, high-scale object storage AWS Storage Gateway Amazon Glacier Low-cost archive storage in the cloud

Amazon EBS Amazon S3 Amazon Glacier

22 Disaster Recovery Primary Site On-Premises Data Center AWS Cloud Disaster Recovery Site AWS DR S cenari os • Backup and restore • Pilot light for simple Amazon recovery into AWS Storage AWS Storage Files AMIs Snapshots Gateway EBS Volumes Gateway • Warm standby solutions • Multisite solution

Amazon S3 Database App Server Server App Database Server Server Amazon Amazon Amazon VPC RDS RDS

Amazon RDS Cross-Region Read Replicas: • Improved disaster-recovery operations A replication mechanism that produces • Readable copies for cross-region an exact copy of a source database, applications updated continuously in another region. • Easy migration between regions

23 Web, Mobile, and Social Apps

EC2 EC2 Web and Amazon S3 Amazon RDS (Master) Mobile EC2 EC2 Apps on AWS EC2 EC2 Amazon RDS Amazon Amazon Elastic Load Elastic Load (Standby) Route 53 CloudFront Balancing EC2 Balancing EC2

Amazon AppStream A flexible, interactive application-streaming service for any device • Captures user input to send back to the cloud Amazon Amazon • Responsive and consistent experience across devices EC2 App (your app) Stream

Compute and render the Efficiently stream user experience on EC2 the user experience 24 (Amazon STX protocol) Virtual Desktops Amazon WorkSpaces: A managed desktop computing service in the cloud • Half the price of an on-premises virtual desktop infrastructure (VDI) NO NO Server VDI • No hardware or virtualization software Hardware Software • Access through browser or tablet device • Monthly pricing—no long-term NO NO commitments Storage VDI Infrastructure Administration • License software from AWS or bring your own licenses • Easy integration with Active Directory • No storage infrastructure • No VDI administration

25 Website Migrations

• Launched 30 e-commerce sites in 8 countries • Saved time and increased efficiency of server in under 2 years management • Tested and innovated faster with low • Reduced operating costs by an expected 30% investment and low risk • Increased the volume of data available; • Reduced time-to-market to less than 3 months decreased latency rates • Net profit rose by 5.5% in one year, despite • Provisioned new IT resources in minutes decline in domestic mail market versus days • Market cap more than doubled to $4.2 billion in • Scaled main website to align with fluctuating under 3 years traffic demands, tracking usage to determine expansion needs

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