develop animplementation plan for cloud deployment of the indian railway passenger reservation system

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This is a 1500 Words report and must contain the following aspects and for more details please have a look at the attachment. You must address the following specific deliverables for the cloud-based passenger reservation system: 1. Service model of cloud computing - Software, Platform and Infrastructure as a service - which models do you suggest Indian Railways should consider in their cloud implementation plan and why? 2. Service architecture to deploy cloud computing - Private, Public, Hybrid and Community cloud options - which cloud service architecture should Indian Railways consider deploying and why? 3. Security issues with cloud computing - There could be several cloud computing security issues in areas such as compliance, trust, identity and access, data protection, governance, incident response, availability and architecture. Suggest three security issues that you consider most important for Indian Railways passenger reservation system with justification.

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@TristanBergh

Hello! I was solution architect for the South African Home Affairs National Identification System (HANIS), a national-scale system that enabled enhanced throughput and security for the national Identity Document process. This project gave me experience in large systems at scale, using transaction processing and other middleware. I was uniquely positioned to assist the government in its rollout. It was successfully delivered in 2001. I repeated this delivery for NEC for the Namibian Civil-Criminal AFIS, delivered in 2005. I was a SOA designer in the banking sector, where I delivered designs for projects across multiple integration platforms, technologies, resolving service security, infrastructure and other issues. My skills have positioned me to take advantage of the new Cloud technologies. I have successfully run a Data Science business using both the Amazon cloud and Google's Big Query services. I am experienced using the AWS JAVA API in the cloud. Taken together, my engineering skills, my enterprise architecture and my cloud and big data expertise allow me to set up and work with, reliable, robust, secure and effective cloud architectures for very large projects such as these. In addition to the technological aspects, I would consider the following factors in my recommendations: sustainable operations, in-house technology expertise, risk-reduction, fail-safety for continued operations and other organizational issues crucial for project success.

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