DTGOV Cloud Computing: Infrastructure and Platform Analysis Case Study

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Added on  2023/01/17

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Case Study
AI Summary
This case study examines DTGOV, a public company, and its transition to cloud computing. The company, with a history of providing IT services to the public sector, aims to optimize operations, reduce costs, and standardize infrastructure. The chosen solution involves Infrastructure as a Service (IaaS) using Amazon Web Services (AWS), including services like Amazon EC2, Route 53, CloudFront, S3, Elastic Beanstalk, RDS, and Elastic Search. The cloud architecture is detailed, covering front-end and back-end components, with a focus on data and application migration phases. The study also explores the benefits of cloud adoption for DTGOV, such as reduced investment, resource optimization, and enhanced disaster recovery. Furthermore, it compares Office 365 with on-premise applications and recommends the Platform as a Service (PaaS) model for SharePoint implementation. The case study concludes with recommendations for DTGOV's cloud strategy and references relevant research.
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DTGOV – CLOUD
COMPUTING
[Name]
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INTRODUCTION
Started in the 1980s by Ministry of Social Security
3000 Employees and operates in 60 areas in the country
Provides IT Infrastructure and Hosting services
Customers include Public Sector and Government organizations
Current Infrastructure includes 3 Datacenters
1 Data Center running Windows Server 2012
2 Mainframes on x86 Platform
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BUSINESS Objective
Long-term Business objective of DTGOV
Achieve increased operational level optimization
Achieve increased level of productivity
Reduction in operating cost
Standardization of infrastructure and services therein
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Chosen Infrastructure & platform
Cloud Computing as the future infrastructure.
Cloud Delivery Models
IAAS – Infrastructure as a Service will be the choice of platform
Amazon Web Services will be the service provider
Popular and reliable service provider with excellent track record
Pioneer in cloud computing services
Cost-effective and extensive support
Amazon EC2 Also known as Elastic Compute Cloud
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CLOUD ARCHITECTURE – FRONT END
DNS Managed with Amazon Route 53
Amazon CloudFront for caching content and speeding up the loading time for
customers.
Amazon S3 or Simple Storage Service for Data Storage
AWS Elastic Beanstalk helps in load balancing, auto-scaling and health
monitoring of the application
Amazon Elastic Search will be used to provide searching capability to the
application
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CLOUD ARCHITECTURE – BACK
END
AMI or Amazon Machine Image is the virtual machine that will
power up the application
Amazon RDS – It’s a relational database engine that would help
in optimizing he content for the users of the application
Auto-Scaling – Automatic scaling of servers, data storage and
other computational resources as and when needed
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Implementation Phase
DATA MIGRATION
Moving data such as CSS Files, Javascript, Images, Videos, Audio etc to a S3 Bucket.
Transferring of database into Amazon RDS
APPLICATION MIGRATION
Initiate all Tomcat and Web Servers.
Create and Boot AMIs
Test the system
Cloud Optimization
Automating core system processes
Creaing auto-scaling configuration
OPTIMIZATION
Server utilization Analysis
Integrating into Amazon CloudWatch
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BENEFITS TO DTGOV
Low upfront investment for infrastructure
Optimum utilization of resources
Utility based pricing
Time-to-market will be reduced
Enhanced Disaster Recovery and Business Continuity
Automation
Proactive Scaling
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OFFICE 365
All-in-one Office Productivity Suite that offers all Microsoft Office applications
Word
PowerPoint
Excel
Publisher and
Access
Additional business applications such as Lync, OneDrive, Planner, Exchange etc.
Works on across all platforms such as
Mobile
Desktop and
Tablet based environments
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Office 365 vs On-Premise Hosted
Application
Accessible from Home, Office and Virtually anywhere
Migration assistance
Office 365 is geared towards ‘Email first’ mentality
Office 365 always remains updated to the latest version
Enhanced collaboration
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CLOUD DELIVERY MODELS
IAAS
PAAS
SAAS
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RECOMMENDED Model for SharePoint
Cloud Delivery Models
IaaS also known as Infrastructure as a Service
PaaS also known as Platform as a Service
SaaS also known as Software as a Service
PaaS is the Recommended Model
Cost-effective in comparison with IaaS and SaaS
Much less overheads and configurations compared to IaaS
More controls and personalization options compared to SaaS
Issues in PaaS model
Configuration and controls can be daunting compared to SaaS version which can be
effectively put to use from Day 1.
Less secure compared to SaaS version if not properly secured
The responsibility to secure and administer remains with the client compared to SaaS
version
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