Strategic Hybrid Cloud Architecture Proposal for DTGOV Services

This report analyzes the hybrid cloud architecture proposed for DTGOV, focusing on front-end and back-end designs to enhance cost-effectiveness and operational optimization. The front-end architecture is discussed as an evolving design, adaptable to changing client needs, while the back-end architecture is detailed as the technology responsible for processing requests, data retrieval, and response generation, including server, application, and database components. The report emphasizes the use of cloud computing architectures, such as microservices, AWS Lambda, Azure Functions, and containerization, to improve flexibility, scalability, and high availability. It also highlights how the architecture would provide data security, traffic control, and middleware for various applications. The report references several sources to support the analysis of the proposed cloud migration strategy for DTGOV, aimed at improving its service portfolio and operational efficiency.

Running head: HYBRID CLOUD
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Name of Student
Name of University
Author’s Note

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Answer 1
Front end architecture: front end architecture is not a proposition that related to set it and
forget it. None of the designs or plans are complete or perfect. Usually needs of the clients might
change as well as evolve over time and a particular process that runs well in a particular phase of
a project might not work the same in next project hence it needs to be revised later for the
purpose of improving the efficiency of the project along with reducing various errors (Coyne,
Dain & Forestier, 2018). This approach can be used by the organization for the purpose of
achieving effective result.
Backend architecture: the backend architecture is a technology that helps in processing
the incoming request as well as generate them along with sending response to various clients.
This process has three parts, these parts include the server, and this is a particular computer
which receives various requests, the application that runs on the server and listens for requests,
retrieves data from the database and then sends a response (Elzamly, Hussin & Abu Naser,
2017). The last part is the database, these databases are utilized for the purpose of organizing as
well as persist data.
Cloud computing architectures which can be utilized for the purpose of assisting the
organization includes front end architecture and back end architecture. These architecture would
be utilized for their individual benefits provided to the organization (Hev & Wang, 2015). The
back end architecture would be used because it would be helpful for DTGOV in providing
security of data for various individuals who would be utilizing the cloud incorporated by the
organization for various purposes. It would not only allow the users to use the cloud services in
an effective manner, it would also allow the users with mechanisms for traffic control (Malik,

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Wani & Rashid, 2018). Besides this, the serve would also contribute in providing middleware
which would be helpful in connecting various devices and hence help in communicating with
each other. The cloud infrastructure that would be utilized by the organization will be helpful for
the users when they are dealing with numerous applications (Sen, 2015). The backend
architecture would also be used for various purposes like the presentation layer interface of the
organization would not need to employ the similar architecture as the provided applications. The
users would be able to use the prebuilt layer of presentation that is delivered along with
packaged applications. The business as well as data logic in this particular application does not
need to be separated from the presentation layer that has been delivered (Coyne, Dain &
Forestier, 2018). This model would be used for this particular organization because it would be
easier for them to manage the entire process of development as well as testing environments,
this is because the asynchronous breakpoints provides various natural testing points. This
approach also provides various graphical tools for the purpose of easing development.
Front end can be defined as a site that is allowed for the customer, cloud and users to view.
Front end architectures consist of user interface as well as the computer system of a particular
client. This particular computer system is utilized for accessing the entire system of the cloud.
The back end architecture of cloud computing includes various data storage systems, servers,
computers, virtual machines and many more (Malik, Wani & Rashid, 2018). These components
constitute various services of the cloud computing. The back end approach is usually considered
to be held responsible for providing numerous security mechanisms, traffic control, protocols
and many more similar components for the purpose of carrying out a clear process of
communication. A specific interface that is visible in nature and can be accessed on various
mobile devices or desktops, front end approach is said to be a specific component that can be

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seen by numerous clients as well as users. The front end approach is mainly responsible for
interacting with the cloud data storage networks along with servers with the help of a specific
application like middleware or a viral session. The back end platforms usually comprises of a
huge number of systems that are dedicated for the purpose of storing data and are known as data
storage systems, it also includes servers as well as software that has been accessed in a secured
way using a security mechanism. This data is secured over a specific public network with the
help of a set of private connections. For the purpose of putting the magnitude of the back end
platform in the perspective, AWS of various organization do not contain much number of
servers, they have around 4 million in few hundreds of their data centers in the entire world.

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References
Coyne, L., Dain, J., Forestier, E., Guaitani, P., Haas, R., Maestas, C. D., ... & Vollmar, C.
(2018). Ibm private, public, and hybrid cloud storage solutions. IBM Redbooks.
Elzamly, A., Hussin, B., Abu Naser, S. S., Shibutani, T., & Doheir, M. (2017). Predicting
Critical Cloud Computing Security Issues using Artificial Neural Network (ANNs)
Algorithms in Banking Organizations. International Journal of Information Technology
and Electrical Engineering, 6(2), 40-45.
He, W., & Wang, F. K. (2015). A hybrid cloud model for cloud adoption by multinational
enterprises. Journal of Global Information Management (JGIM), 23(1), 1-23.
Malik, M. I., Wani, S. H., & Rashid, A. (2018). CLOUD COMPUTING-
TECHNOLOGIES. International Journal of Advanced Research in Computer
Science, 9(2), 379.
Sen, J. (2015). Security and privacy issues in cloud computing. In Cloud Technology: Concepts,
Methodologies, Tools, and Applications (pp. 1585-1630). IGI Global.
Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Era of cloud computing: a new
insight to hybrid cloud. Procedia Computer Science, 50, 42-51.