Transformation of DTGOV Application

This document discusses the transformation of DTGOV application and the modules that are stable, frequently changed, and experience peak user loads. It explores the phase-by-phase transformation and the benefits of microservices. It also discusses high availability with microservices and how to optimize the application architecture. Additionally, it provides information about the microservices architecture for DTGOV travel and booking application.

Running head: TRANSFORMATION OF DTGOV APPLICATION
Transformation of DTGOV Application
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1TRANSFORMATION OF DTGOV APPLICATION
Question 1: Module Assessment
1.1 Modules known to be stable
The modules travel requirements, search engine, cart and account administration are among
the ones that can be considered to stay stable. That is because of regular use of modules that
DTGOV customers make while repeatedly accessing the application without always completing
transactions. Typically, these modules get stressed in all travel booking applications for performing
research facilities and services for the net tour.
1.2 Modules known for changes frequently
Accommodation Recommendation engine, Search Engine and Travel Recommendation Engine
are modules that require periodic modifications. This can stem from the fact that the products
available from DTGOV for example flight booking, hotel reservation or registering with tour
packages along with respective functionalities that must be mapped (Lyu, 2018). Often new
products get included to the DTGOV application for sale to customers. They can have newer
functionalities which demand alterations to filters and keyword setups of respective search engines.
Modules for recommending travel and accommodation for customers of DTGOV application
require substantial research and hence regular updates.
1.3 Modules that see peak user loads
Modules noticing heavy usage from customers in peak sessions are the Cart, Travel and
Accommodation processing as well as Search engines, Account administration and Travel
requirement modules (Hansen et al., 2018). All modules play critical roles in making customers
complete a transaction, thereby getting highly stressed during peak timings.

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Question 2: Phase by phase Transformation
2.1 Initial set of modules to be refactored
The first few modules of DTGOV’s application needs refactoring will be Account
Administration module and the Travel Requirements module. Not only do they get heavily stressed
in peak sessions, but also contain many services which are interdependent on other functionalities
of the application like the cart function. One such instance can be the wish list of customers which
is one of the features available through the account administration module (Xu, Y., & Huang, J. S.
2015). Travel requirements features like the catalogue is also interdependent with adding of
products by users to cart and requires mapping. Data occupied by the items in the cart as also the
number of users wishing to have them occupies enough space making it difficult for DTGOV.
Therefore a move to microservices can benefit the company immensely.
2.2 Shifting towards Microservices
Account Administration and Travel Requirements can be the modules introducing
microservices in which pave great benefits for DTGOV. Both modules are interconnected with
products and services for customers requiring addition to individual carts before purchase. In this
way, embracing microservices with specific modules like travel requirements module and Account
Administration module ends up reducing usage loads from other modules like the cart.
Question 3: High availability with Microservices
Microservice features which let DTGOV deploy their travel and booking application
independently and in scaling of critical resources. Employing microservices is important for
DTGOV since their application offers a range of specific services for better serving the users (Tang
& Chen, 2018). These services are the user profiles, catalogue or even search functions. Since these
services improve the usability of applications for customers many businesses along with DTGOV
for having these in the respective application. As substantial resources are consumed by these
resources, the application can freeze in peak demands and thus DTGOV needs to adopt

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microservices. The data gets stored in client side of the exchange rather than on the servers of
DTGOV and hence saving the company on investing in resources.
DTGOV travel and booking application can be optimized in five major ways which can be:
i. Optimizing Application Architecture
ii. Increasing Efficiency in Codes
iii. Utilizing other programming languages
iv. Container Deployment
v. Effective Monitoring
Account Administration and Travel Requirements use specific features of similar
applications like wish lists, catalogues or boarding of users are registering to DTGOV’s application
(Yoganathan et al., 2018). Such features let users gain improved experiences to avail facilities that
DTGOV offers from the Travel and Booking Application as also show order history along with
trips or even list of items a particular user is seeking. All these services can easily be broken with
the help of microservices to a sub category of similar services and to be mapped with parent service
like Account Administration and microservices Wish Lists, Previous Orders and Profiles (Dragoni
et al., 2017). Because resource usage of these services can vary widely every now and then, scaling
the resource allocation for such services can result in efficient resource consumption.

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Question 4: Microservices Architecture for DTGOV Travel and Booking
Application
Figure 1: Microservice application architecture of DTGOV

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References
Dragoni, N., Lanese, I., Larsen, S. T., Mazzara, M., Mustafin, R., & Safina, L. (2017, June).
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Hansen, J., Porter, K., Shalaginov, A., & Franke, K. (2018). Comparing Open Source Search
Engine Functionality, Efficiency and Effectiveness with Respect to Digital Forensic Search.
Lyu, M. (2018). Research on Hotel E-commerce Application Base on Convention and Exhibition
Economy. In MATEC Web of Conferences (Vol. 228, p. 05003). EDP Sciences.
Tang, Y., & Chen, Q. (2018). One-Stop RV Travel Open System Based on SAAS. DEStech
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Xu, Y., & Huang, J. S. (2015). Factors influencing cart abandonment in the online shopping
process. Social Behavior and Personality: an international journal, 43(10), 1617-1627.
Yoganathan, S., Sherburn, N., Halupka, V., & Li, J. (2018). Pedagogy, practice, participation:
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Education Conference 2018 (AAEE 2018) (p. 705). Engineers Australia.