Report on Cloud Computing Solutions for DTGOV: AWS and Office 365

This report provides a comprehensive analysis of DTGOV's cloud computing strategy, focusing on migrating web servers to an IaaS instance in AWS. It begins with a company background, outlining DTGOV's transition from a mainframe-based system to a more modern infrastructure. The report details the current business scenario, highlighting the need for a more efficient and cost-effective solution. It then delves into the proposed cloud architecture using Amazon AWS, specifically Amazon EC2, and discusses the front-end and back-end components, including DNS, CloudFront, Elastic Beanstalk, S3, and Amazon Machine Image, Auto-Scaling, and RDS. The implementation phase is broken down into data and application migration, leveraging cloud features like auto-scaling and optimization. The report emphasizes the benefits of cloud computing for DTGOV, such as zero upfront investment, high resource utilization, reduced time to market, and improved disaster recovery. Furthermore, it explores the integration of Office 365 and SharePoint, explaining the rationale behind the move and comparing it to on-premise solutions. The report concludes with a discussion of potential issues and a recommendation for SharePoint using the PaaS model.

DTGOV – CLOUD
COMPUTING
[Name]

[Name and No] 2
INTRODUCTION
■ Use of cloud for the DTGOV organization.
■ Different architecture of cloud and their benefits to DTGOV.
■ Integration of Office 365
■ SharePoint integration

[Name and No] 3
COMPANY BACKGROUND - DTGOV
■ DTGOV
– A public company
– Established in 1980
– By Ministry of Social Security
■ Previous situation
– 1000 employees
– Operational in 60 locations
– 2 mainframe-based data center
■ Current situation
– 3000 employees
– 300 different locations
– Running on both mainframe and Intel x86 platform

[Name and No] 4
BUSINESS SCENARIO
■ Current configuration
– 3 data servers: 1 Intelx86 platform server, 1 Mainframe and
1 x86 platform.
■ Mainframe platform serves Ministry of Social Security
■ Data center hosts 100,000 servers over 20,000 square feet.
■ Network has redundant high speed data links.
■ Measures taken
– Implementation of consolidated virtualization project.
– Reduced hardware costs
– BUT, not a perfect solution!

[Name and No] 5
AMAZON AWS + EC2
■ Amazon AWS
– Pioneer in cloud computing
■ Amazon Elastic Compute Cloud (EC2)
– Key component of Amazon AWS

[Name and No] 6
CLOUD ARCHITECTURE – FRONT
END
– DNS
– Amazon CloudFront
– AWS Elastic Beanstalk
– Amazon Simple Storage Service
– Product catalog data

[Name and No] 7
CLOUD ARCHITECTURE – BACK
END
■ Amazon Machine Image – Caching static content i.e. images
■ Auto-Scaling – Capacity management
■ Amazon RDS – Availability

[Name and No] 8
Implementation Phase : Data
Migration
■ DATA MIGRATION
– Move static content - JavaScript files, CSS files, images,
audio, video and static content of HTML
– Updating links

[Name and No] 9
Implementation Phase : Application
Migration■ Application Migration
– Launch small and large instance of tomcat and web servers
– Boot AMIs
– Fetch latest WAR files
– Testing

[Name and No] 10
Implementation Phase : Leveraging Cloud
■ Leveraging the Cloud
– Automating processes
– Creation of auto-scaling web servers
– Clone testing environment

[Name and No] 11
Implementation Phase : Optimization
■ Optimization
– Analysis of pattern of utilization
– Purchase 4 reserved instances
– Integration with Amazon CloudWatch

[Name and No] 12
DTGOV AND CLOUD COMPUTING
■ Zero upfront infrastructure investment
■ Just-in-time Infrastructure
■ High utilization of resources
■ Usage based costing