Emerging technologies has become one of the major component in the current society. The aim of the report is to discuss about different services and deployment models by selecting four different scenarios. The analysis of the paper will focus on featuring the cloud and comparing the traditional IT services with the cloud services. Cloud computing is becoming a huge innovation in the current society. With the help of cloud computing better delivery over the computing services can be obtained. This ensures that a better management of servers, networking devices, software, intelligence and analytics is being obtained with a flexible resource.
The researcher will be discussing about the main four scenarios which include 3M health information system scenario, iRobot, the next generation of smart homes, IP-based physical security software and solution providers Azure PaaS and honey well build micro services based thermostat on Azure. The research is going to discuss about the way cloud computing is supporting different perspectives in the society. It is expected that the utilisation of the case scenarios will help in understanding the perspectives in a much more detailed manner.
Analysis of the case
3M health information system is one of the leading providers of software for the healthcare industry. Hospitals in the United States uses 360 composite system for integrating clinical documentation and coding works. These are considered as a critical part of the healthcare system workflow for many organisation (“3M Health Information Systems Case Study”, 2016). 3M healthcare information system relied on several IT centres for supporting the software solution. This created a major challenge in the organization workflow. It was observed that activities started requiring more computing and storage capacity after a certain hours of the day. These related to creating a huge problem in managing the operations. The health care services faced difficulties in providing support towards the researchers, developers and scientist. It was observed that barriers are increasing for innovation and healthcare information system (Gupta, Mittal & Mufti, 2021). As a result, 3M health information system focused on moving to cloud which is one of the best way for addressing the challenges. In this case scenario the selection of Amazon Web services for storing and managing the confidential data was being selected.
The increasing difficulties faced with handling data and managing storage, three in health information system decided to move to cloud so that they can address the challenges. It is expected that the use of cloud will help in gaining better scalability, security and speed towards the customers (Mukherjee, 2019). As a result, Amazon Web service was selected. Amazon Web services Plays an important role in migration. It has been observed that the concept of introducing Amazon Web services has helped in achieving better facilities. These shall offer with on demand facilities for managing computing, networking, data bases and storage aspects. The organisation introduces the concept of Amazon elastic compute cloud for running hundreds of applications. In addition to this, the use of Amazon simple storage service provided their capability to manage and storing information. Health information system also introduced with the concept of Amazon relational database service agent so that the organisation can operate with much more scalability and relational database deployments.
In order to overcome the challenge faced by the organisation, AWS was selected. However, there are other deployment models which are available for implementation which include Microsoft’s and Google.
However, as per the needs of the business, selection of Amazon Web services is the most appropriate approach as this offers professional services for meeting the requirements of the business
After analysing the case study it can be stated that the utilization of cloud computing helps in resolving the issues associated with storage and computing. The use of AWS has helped in reducing the time needed for processing into minutes. Therefore, it can be stated that the use of AWS services has helped in increasing the developer efficiency.
iRobot is a leading global consumer for robot company. The company is known for its designing and build of robots which empower people with inside and outside work associated with the home. iRobot created a home cleaning robot a category known as a Roomba vacuum robot in the year 2002 (“iRobot Case Study”, 2016). Around 20 million robot were sold on a worldwide basis. The organisation is aiming at building an ecosystem of robots and data for enabling to have a smart home. Due to the efficient features of the robot, the number of users has increased rapidly. However it was observed that while utilising offered by a robot, customers were unable to interact efficiently. It was observed that there was a connectivity issues and inconvenience while connecting with it the robot. As a result, customers started demanding for an easier way to interacting with the growing number of products and technology being used in a home (“iRobot Case Study”, 2016). Cloud connect offers Roomba customers with more convenient and control. Hence the need to build a proper storage capability for managing the connectivity becomes very important.
In order to overcome the situation, Amazon Web service was introduced. Amazon Web service cloud can offer combination of global availability, breath of services and scalability towards the end users. These grabbed the attention for introducing an efficient operating capability. The Wi-Fi connected Roomba vacuum with the perspective to have better accessibility over the system (Al-Sayyed et al., 2019). This led to offering better functional capabilities. It was observed that the use of AWS IOT and AWS lambda, Irobot was able to keep cost associated with cloud products from low and also was capable of managing solution with less than 10 people.
The deployment model for the scenario described these are the utilisation of Amazon Web services so that it can provide a better communication platform. The use of Amazon Web services offered a powerful tools and integration capabilities so AWS services can have a server less architecture for saving the largest scale operation (Deese, 2018). The key models used are AWS IoT platform, Amazon Kinesis and AWS lambda for managing the communication and reliability factors.
The objective of the case scenario is to understand the way Amazon Web services has been creating influence over the performance of the several businesses. The concept of AWS IOT platform and Amazon lambda has helped the business to manage their operations efficiently. After analysing the cases scenario, it can be stated that Amazon cloud computing offers the ability to handle and manage data sets.
The case study selected focuses on discussing about the way IP-based physical security software and solutions provider decided to move to Azure PaaS for the purpose of enhancing their functionality. From the given case scenario, it can be observed that the Canada authorities were unable to manage the IP-based physical security software (Cabodi & Yamini, 2019). It was observed that the physical security associated with the system faced several challenges which lead influencing the data stored within the system (SEREMET & RAKIC, 2021). As a result, moving to Azure PaaS has helped in enhancing the performance of business.
The model which is proposed for the purpose of managing the security factors and dealing with the solution providers is the introduction of Azure Platform as a service. Platform as a service is a complete development and deployment environment in cloud. With the help of resources, these enables to deliver everything from simple cloud-based applications to sophisticated cloud enabled in the price (Stefanovic & Katinski, 2021). Azure PaaS provide a better Physical security capability by ensuring that service management is being handled properly. Personal were not allowed to sign in to as your system if they don’t have any physical access over the as a co-location room and cages.
The different models of cloud computing include SaaS, PaaS and IaaS. As per the case scenario, the most suitable and reliable service is of Azure Paas (Singh, Singh & Singh, 2020). This offers capability to store and manage the data sets.
Azure offers the capability to manage the data efficiently. By moving to Azure PaaS it is expected that the performance will get enhanced. The application offers servers, storage and networking capability. In addition to this, middleware, business intelligence and database management system can also be done with the use of Azure PaaS.
The analysis of the case helps in understanding the need for moving towards a as your parcel for the purpose of enhancing the security factors. It can be observed that IP-based physical security failed to provide a sufficient amount of support and opportunities towards it the business. As a result of use of Azure PaaS helps in achieving better efficiency.
Analysis of the case
Honeywell builds microservices based thermostats on Azure for the purpose of offering better device management, telemetry processing and for command and control. With the help of this approach, it becomes easy to manage the operations associated with Honeywell builds. Honeywell aims at leveraging the Microsoft Azure cloud platform by connecting with the Microsoft Dynamics 365 (Liu et al., 2019). The case analysis states that better way of enabling predictive maintenance applications is achieved within the workflows in developing industry.
Honeywell partnership with Microsoft’s is expected to deliver new value towards the customers. This also helps in solving business challenges by digitising the operations. By launching micro services based a third most active on as you are, it became easy to achieve a better functionality. These offered capabilities of service fabric (Basa et al., 2020). The service fabric manager offers the reliability, better scalability towards the customers and mission critical performance. It can be stated that the performance of an Azure includes achieving on- premises services.
Azure services will be able to manage operations with the ability to handle functionality. Working with Microsoft offers better solution with AI-driven insights and immediate access towards data. The use of Azure model helps in achieving better customer satisfaction. It has been observed that cost saving capability with improved energy efficiency can be achieved (Chawla & Kathuria, 2019).
Honeywell Forge SaaS solutions for addressing the customer need. After analysing the case scenario, it can be stated that the following operations can be handled safely and efficiently:
Reflection
The case analyses helps in understanding the important role of having a strong implementation of cloud computing strategy. It can be stated that the use of cloud computing strategy will contribute towards the better development of other operations. This has been capable all the managing operations as well. The organisation has implemented cloud computing with the perspective to obtain a better reliability in the business performance.
Conclusion
The report discussed about the way cloud computing has been supporting the business performance in the organisation. In this research, different organisation has been evaluated and the way you said has been implementing cloud computing for achieving better functionality. It can be stated that the proper utilisation of cloud computing technology has helped in boosting the performance of business. Cloud computing service offers huge advantage towards the businesses. It has been observed that the utilization of cloud computing can help in achieving a better growth in the business performance. Therefore it can be concluded that the proper implementation of cloud computing technology can help in achieving the business objectives.
References
3M Health Information Systems Case Study. Amazon Web Services, Inc. (2016). Retrieved 29 March 2022, from https://aws.amazon.com/solutions/case-studies/3M-health-information-systems/
Al-Sayyed, R. M., Hijawi, W. A., Bashiti, A. M., AlJarah, I., Obeid, N., & Adwan, O. Y. (2019). An Investigation of Microsoft Azure and Amazon Web Services from Users’ Perspectives. International Journal of Emerging Technologies in Learning, 14(10).
Basa, R., Mrozek, D., Lavriv, O., & Krasko, O. (2020, February). Automation Process of Telecommunication Networks Deployment in Microsoft Azure Cloud Technology. In 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) (pp. 507-510). IEEE.
Borge, S., & Poonia, N. (2020). Review on amazon web services, google cloud provider and microsoft windows azure. Advance and Innovative Research, 53.
Cabodi, G., & Yamini, K. (2019). Moving from local server to cloud service using Microsoft Azure.
Chawla, H., & Kathuria, H. (2019). Azure kubernetes service. In Building Microservices Applications on Microsoft Azure (pp. 151-177). Apress, Berkeley, CA.
Deese, A. (2018, May). Implementation of unsupervised k-means clustering algorithm within amazon web services lambda. In 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (pp. 626-632). IEEE.
Dinca, M. A., Angelescu, N., Dragomir, R., Puchianu, D. C., & Caciula, I. (2019, June). Digital Media Distribution Platform Using Amazon Web Services. In 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1-4). IEEE.
Gupta, B., Mittal, P., & Mufti, T. (2021). A review on Amazon web service (AWS), Microsoft azure & Google cloud platform (GCP) services.
Hashemipour, S., & Ali, M. (2020, August). Amazon web services (aws)–an overview of the on-demand cloud computing platform. In International Conference for Emerging Technologies in Computing (pp. 40-47). Springer, Cham.
iRobot Case Study. Amazon Web Services, Inc. (2016). Retrieved 29 March 2022, from https://aws.amazon.com/solutions/case-studies/irobot/
Liu, M., Peter, S., Krishnamurthy, A., & Phothilimthana, P. M. (2019). E3:{Energy-Efficient} Microservices on {SmartNIC-Accelerated} Servers. In 2019 USENIX Annual Technical Conference (USENIX ATC 19) (pp. 363-378).
Mukherjee, S. (2019). Benefits of AWS in modern cloud. Available at SSRN 3415956.
SEREMET, Z., & RAKIC, K. (2021). BEST APPROACH TO SECURITY IN AZURE DEVOPS. Annals of DAAAM & Proceedings, 10(2).
Singh, H. P., Singh, R., & Singh, V. (2020). Cloud Computing Security Issues, Challenges and Solutions (No. 2533). EasyChair.
Stefanovic, V., & Katinski, M. (2021). Azure Storage. In Pro Azure Administration and Automation (pp. 127-153). Apress, Berkeley, CA.
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