In my previous article I have explained some basics about Cloud computing, In this article I am going share more in detail.

1. Evolution of Cloud Computing
2. In Perspective
3. Cloud Platforms
4. WindowsAzure – A Brief Introduction


Evolution of Cloud Computing

Mainframes and Terminals:


Users did individual work by connecting to central computer

Personal Computers:


Then came the PCs Users did individual work on their desktops

Network of PCs

Then the PCs got Tied Together, Users could talk to each other’s PCs

World Wide Web:


Then came the Web, Users did individual work by connecting to Web Servers

Cluster of PCs:

Then the Web got Big Servers had to become cluster of PCs

Data Center:


Then the Web got REALLY Big and really Important
Microsoft Data Center, Dublin. 27,000 sq.mts, 22 MW of electricity, 0.5 Billion US Dollars

High Affordability

• Need lots of electric power
• Long lead time to build
• Inflexible investment of capital
• Need specialized skills (security, failover, loadbalancing etc.)
• Takes time away from core competencies
• Hard for all but largest companies to own/run

The Solution


OUTSOURCING has become solution to overcome all this.

Benefits of Outsourcing

• Shorter Lead Times
• Lower Capital Requirements
• Organizations can concentrate on
• Core Competencies
• Can reap economies of scale, in turn can afford
• Specialized skills
• Computing power becomes a COMMODITY


Cloud Computing in Perspective

Cloud Computing

Defining Cloud Computing:


“Cloud computing is a model for enabling convenient, on-demand network access to a shared pool
of configurable computing resources (e.g., networks, servers, storage, applications and services)
that can be rapidly provisioned and released with minimal management effort or service provider
Courtesy – NIST (National Institute of Standards and Technology, USA)


• On Demand Self Service
• Network Access from anywhere
• Shared Resource Pooling
• Easy Scalability
• Pay per Use Service

Service Models – 1


Service Models – 2

Service Models – 3


Service Models – 4


Deployment Models – 1

4 Types of Deployment Models

1. Public Cloud


– Available to general Public
– Outside the Firewall
– Services & Infrastructure are Provided off-site over Internet
– IaaS, PaaS & SaaS are present

Examples :

• Google App Engine
• Microsoft Windows Azure
• IBM Smart Cloud
• Amazon EC2

2. Private Cloud

– Operated solely for an Organization
– PaaS and IaaS within the network boundary of the business.
– Services & Infrastructure maintained on a private network
– 2 Types. On-site/On-Premise & Externally Hosted/Outsourced

Examples :

• Amazon VPC (Virtual Private Cloud)
• VMware Cloud Infrastructure Suite
• Microsoft ECI data center.
• Ubuntu Enterprise Cloud – UEC (powered by Eucalyptus)
3. Community Cloud


– Shared by several organizations from a specific community that has shared concerns. Ex : Jurisdiction, Security , Policy and compliance considerations etc.
– 2 Types. On-site & Outsourced

Examples :

• Google Apps for Government
• Microsoft Government Community Cloud

Deployment Models – 4

Hybrid Cloud


– Composition of two or more Clouds (private, community, or public)
– Services are being presented from inside the firewall and some from outside.
– Need to keep track of multiple different security platforms

Examples :

• Windows Azure (capable of Hybrid Cloud)
• VMware vCloud (Hybrid Cloud Services)

Advantages & Challenges


– Shifting public data to a external cloud reduces the Exposure of the internal sensitive data
– Cloud homogeneity makes security auditing/testing simpler
– Clouds enable automated security management
– Redundancy / Disaster Recovery


– Trusting vendor’s security model
– To be compliant with regulatory obligations
– Obtaining support for investigations
– Loss of physical control

Cloud Platforms

Amazon Web Service


– Found in 2002 (
– Provides Elastic Cloud Computing EC2 Service (IaaS)
– Languages Supported: Java, Python, Ruby & .Net

Google App Engine


– Released in 2008 (
– Provides SaaS and PaaS
– Languages Supported : Java & Python

Microsoft Azure


– Released in 2010 (
– Provides PaaS & SaaS (Microsoft Online Services).
– Languages Supported : .Net, Java, Ruby & PHP

Windows Azure – A brief Introduction

Azure Overview

– Cloud OS from Microsoft. A Platform for running applications and storing data in the cloud.
– Helps developers quickly and easily create, deploy and manage Web services on the Internet.
– Serves as the development, service hosting and service management environment for the Azure Services Platform.
– Provides developers with on-demand compute and storage to create, host and manage scalable and available Web applications in datacenters offered by Microsoft Corp.

Azure Services Platform

Azure Services Platform – Explained

– Azure Services Platform can be used both by applications running in the cloud and by applications running on local systems.
– Provides a Windows-based environment for running applications and storing data on servers in Microsoft data centers
– Microsoft .NET Services: Offers distributed infrastructure services to cloud-based and local applications.
– Microsoft SQL Services: Provides data services in the cloud based on SQL Server.
– Live Services: Through the Live Framework, provides access to data from Microsoft’s Live applications and others. The Live Framework also allows synchronizing this data across desktops and devices, finding and downloading applications, and more.

Azure Advantage

– Get started quickly using your existing skills
– Maintain application control, minimize costs
– Open platform creates an easy, flexible coding environment
– Provides flexible azure storage with blobs, tables and queues
– Provides Model Driven Life Cycle Management
– Windows Azure Manages Services too and not Just Servers

By Kingson Jebaraj

Microsoft MVP, Blogger, Owner and Publisher for, Microsoft TechNet Author, Solution Architect, Former Office365 Technical Lead for Microsoft(Partner) Extensive knowledge and experience in Microsoft Exchange and Cloud Messaging Services and has got more exposure on Messaging environment deployment,migration,designing and other project management activities, I have earned real time experience in handling multi-site distributed critical large environment of messaging system. Been awarded as an MVP (Microsoft Most Valuable Professional) for Office Servers and services from Microsoft for an exceptional real world contribution made through Microsoft forums and other Microsoft communities. Currently working as “Solution Architect” on Private/Public cloud and SaaS environment for Pacific Controls, UAE, Dubai. One of the largest TIER III certified green data center campus in the middle east.

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