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Adopting Cloud-based OSDS | Assignment

   

Added on  2022-09-11

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Running head: ADOPTING CLOUD-BASED OSDS
Adopting cloud-based OSDS
(Department of Spatial Information)
Name of the student:
Name of the university:
Author Note

ADOPTING CLOUD-BASED OSDS
1
Executive summary
The spatial data is commonly stored as topology and coordinates and can be mapped. In this study, the
proposal for the Department of Spatial Information or DSI, a state government sector, is developed. It
involves the analysis of PaaS at DSI along with the suitable architecture for the OSDS. Again, the
study evaluates the use of the cloud edge for the OSDS. After that, the various differences exiting
between the micro-services and monolithic architectures are explained in this study. Moreover,
software architectures are assessed. At last, in this evaluation, the recommended approaches are
demonstrated.

ADOPTING CLOUD-BASED OSDS
2
Table of Contents
Introduction:..................................................................................................................................................3
1. Understanding possible delivery and models of deployments that must be adopted by DSI for OSDS:. 3
1.a. Benefits and using PaaS approach for OSDS:....................................................................................3
1.b. The possible architecture used to deploy OSDS:...............................................................................4
2. Use of Cloud Edge for OSDS:..................................................................................................................5
3. Case of OSDS software architecture utilizing a monolithic approach towards the deigning:..................6
3.a. Explaining the difference between microservices and monolithic architectures for DSI Board:......6
3.b. Pros and cons of the software as mentioned above architecture styles:.............................................6
4. Approach recommended for the deployment and delivery of OSDS:......................................................7
Conclusion:....................................................................................................................................................8
References:....................................................................................................................................................9

ADOPTING CLOUD-BASED OSDS
3
Introduction:
The DSI or Department of Spatial Information is a state government sector that provides timely
and accurate spatial data to the other departments. They also make a few spatial information presents in
public. For providing the public and government services, DSI has created various web services
delivering data through internally designed applications and services. The suite of applications and web
services are indicated as the DSI OSDS of Online Spatial Delivery System. DSI management has
intended to adopt a proposal for meeting the restrictions of budgets. The following report is developed,
keeping the proposal in mind. It includes the evaluation of IaaS and PaaS and possible architecture for
the OSDS. Next, the use of the cloud edge for the OSDS is investigated. Next, the differences between
the micro-services and monolithic architectures are analyzed. Further, the software architectures are
evaluated and the recommended approach is discussed.
1. Understanding possible delivery and models of deployments that must be
adopted by DSI for OSDS:
1.a. Benefits and using PaaS approach for OSDS:
The PaaS services and solutions have been supporting the capabilities of developments that help
to make extension, integration and creating the innovative deployment in less time. The solutions, in
effect, delivers a notably greater level of agility and capability than the legacy infrastructure. This is
without the hassle to maintain, authenticate and patch servers and another conventional type of
hardware (Gai et al., 2016). Apart from, PaaS is also helpful in expanding the probabilities with
including the APIs, workflows, deployment and development tools and programming languages.
Among other effective features, this also includes the database capabilities. Besides, for DSI, it is
focused on providing technologies and tools for generating intelligent enterprise permitting linked users

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