Amazon Web Services (AWS) provides cloud computing infrastructure that allows researchers to access computing resources like servers, storage, databases, and analytics tools quickly and easily through an on-demand, pay-as-you-go model, avoiding high upfront costs and allowing easy scaling. AWS offers a variety of services including compute, storage, databases, analytics, and machine learning through regional data centers for high availability and low latency. Researchers can use AWS services to accelerate their work through rapid provisioning of resources, global collaboration, automatic scaling to match demand, and pay only for what they use.

1. Accelerating Time to Science:
Transforming Research in the Cloud
Amazon Web Services

2. Why Do Researchers Love AWS?
Time to Science
Access research
infrastructure in minutes
Low Cost
Pay-as-you-go pricing
Elastic
Easily add or remove capacity
Globally Accessible
Easily Collaborate with
researchers around the world
Secure
A collection of tools to
protect data and privacy
Scalable
Access to effectively
limitless capacity

3. Some Core AWS Concepts

4. • Network Server and network PC
• WAN with Network Server
• Cloud Computing
• Traffic Routing
• Latency
• Setup cost
• Maintenance
Birth of AWS

5. Region
• Geographic area where
AWS services are
available
• Customers choose
region(s) for their AWS
resources
• Eleven regions worldwide
AZ
AZ
AZ AZ AZ
Transit
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6. Availability Zone (AZ)
• Each region has multiple,
isolated locations known as
Availability Zones
• Low-latency links between AZs
in a region <2ms, usually <1ms
• When launching an EC2
instance, a customer chooses
an AZ
• Private AWS fiber links
interconnect all major regions
AVAILABILITY ZONE 3
EC2
AVAILABILITY ZONE 2
AVAILABILITY ZONE 1
EC2
EC2
EC2
REGION

7. Example AWS Availability Zone
AZ
AZ
AZ AZ AZ
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8. • Operational expenses (OpEx)
• Capital expenses (CapEx)
• Labour costs associated with on-premises operations
• Impact of software licensing costs when moving to the
cloud
• 200+ services
AWS Cloud Economics

9. • Amazon EC2 : You don’t have to invest in costly physical services. Instead,
you can create virtual machines.
• RDS : Enables to create dedicated instances of databases within minutes.
Not to mention, these instances can support multiple database engines
including SQL Server, SQL, PostgreSQL, and more.
• S3 : It offers a highly secure and redundant file storage service. It also
stores data in three data centers within a specific region. You get data
flexibility without almost zero latency.
Most Used Services In AWS

10. • CDN (Global Content Delivery Service) : This service helps to improve
website speed and access to cloud-based data.
• Amazon VPC : This service creates a private virtual network that cannot be
accessed by anyone or anything except the people and systems you
authorize.
• Amazon SNS : This is an event-driven computing hub that alerts
subscriber services to perform tasks automatically in response to
specified triggers. Send notifications to any users on any platform.
Most Used Services In AWS

11. • AWS Beanstalk : Autoscaling to ensure automatic updates of new software.
• AWS Lambda : AWS Lambda is designed to support any load of
development. You handle the coding, and AWS Lambda will offer the right
amounts of support and required resources while scaling to ensure your
systems are no longer stretched past capacity.
• AWS Autoscaling : AWS Autoscaling can manage fleets of servers and the
incoming traffic. Multiple instances are created when needed.
• AWS IAM : Security has a lot to do with access and what gets accessed. It’s
just an additional layer of security that never hurts.
Most Used Services In AWS

12. • On-Demand
• Spot Instances
• Reserved Instances
• Saving Plans
• Dedicated Hosts
Billing and Pricing

13. Thank you!
Jamie Kinney
jkinney@amazon.com
@jamiekinney

14. Additional resources…
• aws.amazon.com/big-data
• aws.amazon.com/compliance
• aws.amazon.com/datasets
• aws.amazon.com/grants
• aws.amazon.com/genomics
• aws.amazon.com/hpc
• aws.amazon.com/security