The document discusses the benefits of AWS for education and research. It highlights how AWS can help remove waste from on-premise infrastructure management and allow institutions to focus more on their core missions. Examples are given of how AWS supports use cases like lecture capture, student labs, and learning management systems in a scalable and cost-effective manner. The document also provides an overview of AWS services and capabilities across compute, storage, databases, analytics and other areas.
4. Remove Waste
Your
Business
70%
On-Premise
Infrastructure
30%
Managing All of the
“Undifferentiated Heavy Lifting”
Waste is anything that does not lead to
direct value for the customer
5. Remove Waste with Cloud
AWS
Cloud-Based
Infrastructure
Your
Business
More Time to Focus on
Your Business
Configuring Your
Cloud Assets
70%
70% 30%
On-Premise
Infrastructure
30%
Managing All of the
“Undifferentiated Heavy Lifting”
6. Agility - Reducing the ‘time to science’
Old World:
Infrastructure in
weeks
AWS:
Infrastructure in
minutes
Add New Dev Environment
Add New Prod Environment
Add New DR Environment
Add 1,000 Servers
Remove 1,000 Servers
Deploy 10,000 Core HPC Cluster
Shut down 10,000 Core HPC Cluster
7. A Culture of Innovation: Experiment Often & Fail Without Risk
8. “We now have access to the kind of
serious parallel processing that we need to implement model runs in
feasible timescales and the storage to deal
with the massive model output.”
9. Platform Breadth and Scale
A broad and deep platform helps customers
build sophisticated, scalable applications
10. Each day AWS adds the equivalent server capacity that it took to power
amazon.com when it was a $7B annual revenue
e-commerce enterprise.
11. “AWS means we are able to
scale to meet the
extreme demands
of the admissions cycle.”
12. Continual Iteration and Innovation
AWS continuously upgrades
infrastructure, so you don’t have to
13. Amazon EC2
Amazon EBS
AWS Import !
& Export
AWS Identity !
& Access !
Management
Amazon SNS
Elastic Load Balancing
Auto Scaling
Amazon VPC
Amazon RDS
Amazon EMR
Amazon !
CloudWatch
GovCloud
AWS Direct !
Connect
AWS Elastic !
Beanstalk
Amazon !
ElastiCache
Amazon SES
2008 2009 2010 2011
AWS !
CloudFormation
Amazon EC2
Amazon !
CloudSearch
Amazon !
Dynamo DB
Amazon Glacier
Amazon Redshift
Amazon Route 53
AWS Storage !
Gateway
Amazon SWF
Amazon !
AppStream
Amazon Elastic !
Transcoder
Amazon Kinesis
AWS OpsWorks
Amazon !
CloudHSM
Amazon !
CloudTrail
AWS Data !
Pipeline
Amazon !
WorkSpaces
AWS Rapid Pace of Innovation
+24
+48
+61
+82
+159
+280
2012 2013
Since inception AWS has:
• Released 927 new services and features
• Introduced over 35 major new services
• Announced 43 price reductions
+283
T2 Instance
Types
Amazon !
Mobile SDK
Amazon !
Cognito
Amazon !
Zocalo
2014
as of 31st July 2014
17. Enterprise
Applications Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Relational
No SQL
Caching
Analytics
Hadoop
Real-time
Data
Warehouse
Data
Workflows
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling and
Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control Networking
Infrastructure Regions CDN Availability Zones and Points of Presence
18. AWS Compute Capabilities
Secure Windows and
Linux instances
Load Balance
Instances
Auto Scale Instances
to meet demand
EC2 Auto Scaling
EC2 in a VPC Elastic Load Balancer
20. AWS Network Capabilities
Software-defined
private network
AWS Virtual Private Cloud
(VPC)
Dedicated private network
connection to AWS
AWS Direct Connect
All
services
Intelligent DNS
Service
Availability
Zone B
Availability
Zone A
AWS Route 53
21. AWS Database Capabilities
Managed Relational
Database Service
AWS Relational Database
Service
Managed NoSQL Database
Service
AWS DynamoDB
In memory caching
Service
AWS Elasticache
DBA
22. AWS Big Data & Analytics Capabilities
Hosted Hadoop
Framework
Data Warehouse
Service
Process Real Time
stream data
Amazon
EMR
Move Data between
AWS Services
AWS Data
Pipeline Amazon Redshift
Amazon
Kinesis
23. AWS Deployment and Management Capabilities
Monitor AWS
Resources
Templates to deploy
and manage
Automated Resource
Deployment
AWS
Cloudwatch
AWS
Opsworks
Amazon
CloudFormation
DevOps Framework
Amazon Elastic
Beanstalk
Web App
Enterprise
App
Database
24. AWS Enterprise Capabilities
Secure Desktops in
the Cloud
Amazon Workspaces
Document Sharing
and Collaboration
Amazon Zocalo
25. AWS Security Capabilities
Fine-grained access control over data and resources
Geographic
data locality
Fine-grained
access control
Control over regional replication Policies, resource level
permissions,
temporary credentials
In-depth
audits
AWS
CloudTrail
29. Learning Management
Systems
• Moodle on AWS
• Auto Scale out LAMP stack
to meet demand
• Develop and launch in 22
weeks
“When OUA needs to scale up
the Open2Study environment,
Auto Scaling allows it to do so
without disruption.”
30. Student Labs
• Infrastructure as Code, allows for
Version Control etc
• Template Entire AWS
Environments and duplicate
• Create templates from Existing
Resources with CloudFormer
Amazon'Route'53' Elas1c'Load'Balancer'
CloudFront'Distribu1on' S3'Bucket'
Web'Servers'
App'
App'
Web'Servers'
Web ASG Elastic Beanstalk
Master'
Standby'
RR'1'
RR'2'
RR'3'
RR'4'
Elas1Cache'Cluster'
31. Lecture Capture
• Store Lectures in Durable S3
Storage
• Transcode media to multiple
formats
• Storage Lifecycle Management
• Lecture streaming
• Content Delivery Network
32. Others
High Performance Computing (HPC)
Storage & Backup
Development and Test
University and Departmental Websites
Distance Learning
Massive Open Online Courses (MOOCs)
Disaster Recovery
Student Information System Software
Virtual Desktops
Datacentre Migrations
33. 156,000 compute Cores
!
1.21 PetaFLOPS
throughput (not RMax)
264 years of computing in
just 18 hours
!$33k as compared to
$68million