 February, 2012
CLOUDCOMPUTING – A collection of
Predictions, Principles, and Providers
Updated
Outline
2
 Models
 Predictions
 Adoption
 Real World Applications
 Principles
 Providers
 Roadmap
Purpose
3
 A true CLOUDabstracts the underlying hardware from
the buyer, is elastic in scaling to demand and bills
buyers...
Cloud Computing Model
4
Based on NIST
A World of Many Clouds
5
…
Pharma
HealthCare Government
Gartner
6
34 different technologies
Predictions
7
 Gartner predicts that the most transformational technologies
included in the Hype Cycle will be the follow...
So, are you ready forAdoption
8
 Image owned by Geek & Poke
In the Data Center: Architectural Battle
Web vs Enterprise
Web
Horizontal Scaling
Multi-layerCaching
Eventual consistency
...
10
Cloud Platform
* Source: commputation.kit.edu
Real-World Cloud Computing Applications
11
 Times wanted to stage scanned images covering a 60-yearperiod (15 million new...
12
 600M+ registered users
 200PB+ of data
 100Bn+ events/day
 1.5M+ requests/second
 11Bn+ page impressions/month
Ya...
Architectural principles
13
 Economies-of-scale principle: All commonalities are identified and leveraged in
cloud servic...
So, are you ready to picka Provider
* Image owned and copyright by CloudTweaks.com
Service Providers
 Includes the Internet service providers, the carriers,
telecommunications companies, and large busines...
Options Analysis – External Sources*
16
* Source – Accenture provided sample analysis from multinational chemical company
Implementation Road-Map
17
 Analyze/Separate the Good and Bad Applications for the Cloud
 Find a vendor that meets those...
Implementation Road-Map
18 Good applications for the Public Clouds:
 Applications that are not run frequently but require...
19
AWS Sample Cloud
Oryou may end up with…
20
this…
21
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Cloud Computing - A collection of predictions, principles and providers - February,2012

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Cloud Computing - A collection of predictions, principles and providers - February,2012

  1. 1.  February, 2012 CLOUDCOMPUTING – A collection of Predictions, Principles, and Providers Updated
  2. 2. Outline 2  Models  Predictions  Adoption  Real World Applications  Principles  Providers  Roadmap
  3. 3. Purpose 3  A true CLOUDabstracts the underlying hardware from the buyer, is elastic in scaling to demand and bills buyers on a pay-per-use basis.  It provides a way to increase capacity oradd capabilities on the fly without investing in new infrastructure, training new personnel, orlicensing new software, and you only pay what you “consume”.
  4. 4. Cloud Computing Model 4 Based on NIST
  5. 5. A World of Many Clouds 5 … Pharma HealthCare Government
  6. 6. Gartner 6 34 different technologies
  7. 7. Predictions 7  Gartner predicts that the most transformational technologies included in the Hype Cycle will be the following:  Virtualization within two years  Big Data, Cloud Advertising, Cloud Computing, Platform-as-a- Service (PaaS), and Public Cloud computing between two and five years  Community Cloud, DevOps, Hybrid Cloud Computing and Real- time Infrastructure in five to ten years
  8. 8. So, are you ready forAdoption 8  Image owned by Geek & Poke
  9. 9. In the Data Center: Architectural Battle Web vs Enterprise Web Horizontal Scaling Multi-layerCaching Eventual consistency Information-centric Shared infrastructure Open APIs 9 Enterprise Vertical scaling HA failovermodel Modest Scale Transactional Application specific Infrastructure
  10. 10. 10 Cloud Platform * Source: commputation.kit.edu
  11. 11. Real-World Cloud Computing Applications 11  Times wanted to stage scanned images covering a 60-yearperiod (15 million news stories) online. After repeatedly rejected by the CIO for the use of six servers, the newspaper moved four terabytes into Amazon’s S3, ran all the software over a weekend on EC2 for $25, and subsequently launched its product in a matter of minutes  Coca-Cola Enterprises uses a Cloud-based system to streamline operations with merchandisers in the field  Nasdaq uses Amazon’s S3 Cloud Service to deliver historical stock and mutual fund information, instead of adding the load to its own computing infrastructure  Animoto, a small start-up which decided to use Amazon's Cloud Services, was able to address the soaring demand for its service and scale up from 50 instances to 3,500 instances over a three day period  Mogulus streams 120,000 live TV channels over the Internet and owns no hardware except for some laptops. It was able to stream all of the election coverage for most of the large media sites. Its CEO states that he could not be in business without IaaS.
  12. 12. 12  600M+ registered users  200PB+ of data  100Bn+ events/day  1.5M+ requests/second  11Bn+ page impressions/month Yahoo Cloud Supports:
  13. 13. Architectural principles 13  Economies-of-scale principle: All commonalities are identified and leveraged in cloud service design.  Efficiency Principle: With cloud characteristics such as elasticity, self-service access, and flexible sourcing, the cloud design is specifically oriented to high cloud scale efficiencies and short time-to-delivery.  Lightweightness Principle: A common Cloud platform fosters lean and lightweight service management policies, processes, and technologies.  Generic Principle: Be generic across IaaS/SaaS/PaaS ; provide a mechanism to support various cloud services using a shared, common management platform
  14. 14. So, are you ready to picka Provider * Image owned and copyright by CloudTweaks.com
  15. 15. Service Providers  Includes the Internet service providers, the carriers, telecommunications companies, and large business process outsourcers that provide either the connectivity (Internet connections)  Or infrastructure (hosted data centers) that enable customers to access cloud services.  Service providers also include systems integrators that build and support data centers hosting private clouds
  16. 16. Options Analysis – External Sources* 16 * Source – Accenture provided sample analysis from multinational chemical company
  17. 17. Implementation Road-Map 17  Analyze/Separate the Good and Bad Applications for the Cloud  Find a vendor that meets those security, legal, and compliance requirements  Prepare your IT portfolio for the cloud (can be somewhere in between cloud services and installed applications)  And finally, test, deploy, monitor and measure ROI
  18. 18. Implementation Road-Map 18 Good applications for the Public Clouds:  Applications that are not run frequently but require significant computing resources when run, e.g.: test and other non-production systems  Applications that are used by mobile workers to manage their time and activity (e.g.: email, sales support apps, field support apps, etc.)  Applications that require system hardware or software not normally used by a company‘s IT operations (saving money on IT infrastructures that are not used often)  Companies who want a contingency backup for critical applications are good candidates for both public and private cloud computing  Companies that have distributed data centers therefore, making more efficient use of servers and storage, lowering equipment costs, and supporting IT investment more efficiently  Companies with software development environments;
  19. 19. 19 AWS Sample Cloud
  20. 20. Oryou may end up with… 20
  21. 21. this… 21

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