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”.
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. So, are you ready forAdoption
8
Image owned by Geek & Poke
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
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.
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. So, are you ready to picka Provider
* Image owned and copyright by CloudTweaks.com
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. Options Analysis – External Sources*
16
* Source – Accenture provided sample analysis from multinational chemical company
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. 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;
