DAT 260 Project One_

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Southern New Hampshire University *

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260

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Information Systems

Date

Apr 3, 2024

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docx

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8

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1 Feasibility Proposal Created by February 4, 2024
2 Cloud Computing Cloud computing comprises five deployment models: public, private, hybrid, multi- cloud, and community cloud. Public cloud is ideal for organizations seeking elastic scalability and resource efficiency, particularly to handle intermittent high loads (LaunchDarkly, 2022). Private cloud is recommended for handling sensitive data, offering two options: internal management or partnering with a cloud provider for resource isolation (LaunchDarkly, 2022). Hybrid cloud is suitable when security or data protection requirements necessitate a combination of on-premises and public cloud deployment for mission-critical applications (LaunchDarkly, 2022). Multi-cloud is advantageous for organizations seeking redundancy or cost optimization, commonly used when specific services are required from different cloud providers (LaunchDarkly, 2022). Community cloud caters to a subset of organizations within the same community, tailored to their specific requirements (LaunchDarkly, 2022). In addition to deployment models, cloud computing includes three service models. Infrastructure as a Service (IaaS) is optimal for organizations desiring full control over infrastructure, operating systems, and runtime, with scalable and customizable resources, including virtual machines, storage, and network components. Platform as a Service (PaaS) is recommended for application development and deployment, focusing on rapid development, scalability, and easy maintenance. Software as a Service (SaaS) is well-suited for accessing consistent and up-to-date information while minimizing the management burden of software updates and maintenance. Benefits and Drawbacks of the Cloud Utilizing cloud deployment models comes with both advantages and disadvantages. Among the benefits are cost efficiency, eliminating the need for substantial upfront expenses in
3 hardware, maintenance, and physical infrastructure. This cost reduction enables organizations to redirect savings toward critical initiatives. Improved collaboration is another positive aspect, enhancing processes, data accessibility, and real-time updates among professionals. The scalability of cloud services ensures optimal performance during peak times, offering on-demand scalability. Additionally, cloud deployment models contribute to data security by providing additional checkpoints to secure housed data, although complete risk elimination is not guaranteed (Harms, 2023). Conversely, drawbacks of cloud deployment models include the necessity for training and expertise. Transitioning requires training programs to equip individuals with the necessary skills to effectively use the tools and platforms. Integration may prove complex, demanding significant time and resources to ensure seamless interoperability. Internet dependence becomes a drawback in areas with unreliable networks or susceptibility to power outages. Privacy and compliance issues may also arise depending on the implemented deployment model (Harms, 2023). In comparison, on-premise models boast benefits such as heightened security, privacy, and compliance, as the organization controls the hardware and physical infrastructure, allowing for greater control and implementation of security measures. Additionally, during internet outages, as long as employees are directly connected to the network, there is no lapse in access. Drawbacks of on-premise models include upfront costs for acquiring hardware, infrastructure, and dedicated staff needed for data housing and maintenance, in addition to potential scalability and maintenance expenses. Wait times for implementations and upgrades may also disrupt day- to-day operations (Harms, 2023).
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