Introduction to the Information System
Amazon is a multi-global online retailer and a reputable cloud tech provider. The company is based in the US and originally started as an online bookselling firm. It later focused on an internet-based enterprise offering e-commerce, digital streaming, and issues with artificial intelligence (AI). For the company to work perfectly in the retail market, it must invest in information systems that enable a wide array of utilities to be leveraged to expand its portfolio. The company uses two-piece information management software encompassing what is referred to as Simple Storage Service interlinked with an integrated database connected to the Amazon Web Service (AWS) that acts as its key e-commerce platform (Koita & Suzuki, 2019). The Amazon application is designed so that a customer can create an account using the web service in which a personal profile can be developed.
Amazon Web Service comprises various systems with specific functions that promote the effective transfer of information management and completion of business procedures. The robust amazon system has features such as scalability, security, and efficiency that are developed to ensure that a customer can rely on the system without delay or inconvenience. In amazon, the two-piece system offers optimal data safety based on the customer’s profile.
AWS has a raft of applications that it sponsors for various services. For example, Amazon Connect, Amazon Honeycode, Amazon Chime, Alexa for Business, and Amazon WorkDocs are some of the system-integrated components in the AWS for its operations. It is important to mention that AWS is significantly comprehensive since it involves modern cloud-centric computing that the application must contain to perform its business applications (Koita & Suzuki, 2019). Amazon Relational Database Service (ARDS) is a component under AWS with options such as Postgre SQL, Oracle, and MariaDB, high-end database management sub-systems offering a sophisticated service for online business.
Characteristics of the Users of the Information Systems
For one to be able to use the Amazon system, there are various competencies they must possess for flexibility. The users of the amazon information systems include those who work to create and manage the databases as well as administer the internal parts of the system. The group of users, in this case, may represent a significant number of Amazon employees and service providers who act ready in case of any issue that arises while the AWS systems are under use (Hofmann et al., 2022). The first characteristic of Amazon system users is competency in a microservices architecture. That means a person who understands how systems work under different functions.
The other feature of AWS users is attention to detail when performing different tasks within the system. The reason is that many systems today may be affected by different programming errors that may lead to personal or group liability while using the same. A malfunction that occurs while using a system is likely to suspend the system’s workability; therefore, the user must articulate that instantly. A miscalculation can also cost the company, which means programmers must be keen to put formulas that accurately respond to the matter being handled for a given moment (Baldominos Gómez et al., 2022). For example, costs and charges added while a buyer is shipping products must be set so that a bulk transaction will not have monetary loopholes. Therefore, users who find their way to Amazon’s system must be vigilant to details that are part of the integrated elements within a given interface. Other important characteristic includes excellent problem-solving capability and self-discipline.
Server-Side and Client-Side Hardware and Software of the System
Server-Side hardware and software include the internal and external components that enable the transmission of electronic data within the working units of a central computer point. A server is a program that can provide service to other computer functions from a specific center. AWS being the central server of Amazon, the software part of it allows a direction of enterprise resource program (ERP) to run on the Oracle database (Baldominos Gómez et al., 2022). During the process, there is the ordering schedule automation that includes tracking models integrated into the business helm.
The server-side software collects transaction history, credit card details, and other records through customer relations management (CRM), which has been a critical business developer for a long while. When it comes to client-side software, a customer experiences encryption of their sensitive information, such as credit card data, that allows redirection of customer orders in the delivery system of Amazon. In that case, the client-side software using CRM scalability can send auto-generated notifications to the customer regarding a transaction (Ahmad et al., 2021). Therefore, the server-side and client-side software works hand in hand for the efficiency of business processes at Amazon.
When it comes to the hardware of the AWS system, there are various concepts that a reader must understand to comprehend the configurations of the Amazon application. Server-side AWS has a storage gateway hardware appliance that can be seen and enables validation of on-premise deployments during special configurations regarding different purchases (Ahmad et al., 2021). In this case, the gateway hardware comes with pre-loaded software that gives the memory, network, and caches during verification processes when a customer buys. The hardware appliance is developed in a way that it can provide a user with an out-of-box experience that requires little infrastructure to accomplish tasks that are being undertaken. AWS is designed in that it caN allow a physical machine to run from a virtual base in case there is a lack of on-premise infrastructure in frequent transactions (Baldominos Gómez et al., 2022). The client-side hardware perspective of the AWS system is that customers are provided with a wide array of tools for their one-stop shop while interacting with Amazon’s system from a retail perspective. Through that capability, many users can have a non-disrupted space since AWS has unlimited server capacity that changes the interface of a program depending on the context.
Description of Features/functions of Amazon Information System
Amazon is a global company that understands the competitive factors that result from innovation and globalization. Therefore, the company has been investing in a raft of unique features that serve as a differentiation element for their marketability. Amazon’s AWS is a top system with various functions that ease the company’s business processes. The first feature that this essay discusses is storage (Hofmann et al., 2022). The company boasts an economical and easy-to-use system that uses independent storage to meet the requirements. For example, Amazon Glacier is used for long-term storage, and Amazon Simple Storage Service, offers scalable data archiving for backup. The second feature is the security of AWS, whereby the firm is known for providing maximum security of data that is accessible to them. Customers can pay for the services they need without upfront expenses. The security factor of AWS is by EC2 protocol configuration at port access (Hofmann et al., 2022). In data input, the security policy at the Amazon application is used for filtering any traffic that comes depending on the port range and source.
Thirdly, the accessibility of AWS is made mobile by the android and IOS capacities. During retailing, AWS Mobile Hub allows support for a suitable and compatible feature for the application being used. Under security factors, AWS has a mobile SDK, which gives a path for services such as DynamoDB, and Lambda and supports android and other operating features (Koita & Suzuki, 2019). Data provided to AWS is facilitated through Amazon SageMaker Ground Truth. In terms of usability. the input of the details happens by creating labeled data streamed in real-time during specific business operations. Data output complements the input by showing the outcome of the labeling task. For example, the output data file includes all objects sent from metadata about various tools required during the processing of business utilities (Koita & Suzuki, 2019). The ‘augmented manifest file’ contains all the marked subjects detected by machine learning capabilities.
Conclusion
Amazon uses two-piece information management software encompassed as Amazon Web Service (AWS). The essay has explored how AWS works by including the server-side and client-side software and hardware components. The characteristics of AWS system users include the ability to understand microservices architecture, attention to detail, and self-discipline. A user competent with single functions deployed independently can spot any challenges that may occur within the system and correct them promptly. AWS acts as a centra server by incorporating ERP and Oracle as the primary cloud-computing database. The usefulness of the service allows controlling of data from remote area for Amazon application.
The client experiences encrypted data that captures details such as credit card, and customer profile, among other details. The essay has covered various features of AWS, such as storage, accessibility, and security. The system has a wide array of storage capacities that allow independent file storage and archiving for backup. Regarding accessibility, AWS can be featured in a mobile handset whereby the android and IOS systems use it. Security of customer data is essential, and for that matter, the input of any information is configured in metadata for processing.
References
Ahmad, T., Morelli, U., Ranise, S., & Zannone, N. (2021). Extending access control in AWS IoT through event-driven functions: An experimental evaluation using a smart lock system.International Journal of Information Security, 21(2), 379-408.
Baldominos Gómez, A., Saez, Y., Quintana, D., & Isasi, P. (2022). AWS PredSpot: Machine learning for predicting the price of spot instances in the AWS cloud.International Journal of Interactive Multimedia and Artificial Intelligence, 7(3), 65.
Hofmann, W., Lang, S., Reichardt, P., & Reggelin, T. (2022). A brief introduction to deploying Amazon Web Services for online discrete-event simulation. Procedia Computer Science, 200(7), 386-393.
Koita, T., & Suzuki, S. (2019). Crowdsourcing for traffic survey work on Amazon Mechanical Turk.International Journal of Computer Theory and Engineering, 11(4), 61-65.