ICC104 Introduction to Cloud Computing Report 2 Sample
Context:
This assessment assesses student’s capabilities to identify key cloud characteristics, service models and deployment models.
During this assessment, students should go through the four case studies identified below and prepare a short report (250 words each) around the case studies as per the instructions.
Case Study 1: ExxonMobil moves to Cloud
“XTO Energy is a subsidiary of ExxonMobil and has major holdings in the Permian Basin, one of the world’s most important oil-producing regions. To overcome the challenges of monitoring and optimizing a vast number of widely dispersed field assets, XTO Energy has been digitalizing its Permian operations. By using Microsoft Azure IoT technologies to electronically collect data and then using Azure solutions to store and analyse it, XTO Energy gains new insights into good operations and future drilling possibilities”. (Microsoft, 2018).
Case Study 2: Autodesk Builds Unified Log Analytics Solution on AWS to Gain New Insights
“Autodesk, a leading provider of 3D design and engineering software, wants to do more than create and deliver software. It also wants to ensure its millions of global users have the best experience running that software. To make that happen, Autodesk needs to monitor and fix software problems as quickly as possible. Doing this was challenging, however, because the company’s previous application-data log solution struggled to keep up with the growing volume of data needing to be analyzed and stored.” (Amazon Web Services, n.d)
Case Study 3: ‘Pay by the Drink’ Flexibility Creates Major Efficiencies and Revenue for Coca-Cola’s International Bottling Investments Group (BIG)
“BIG’s stated goal is to drive efficiencies, higher revenue, greater transparency and higher standards across all of its bottlers. But, the bottlers within BIG each faced very unique challenges inherent to their business and markets. Thus the challenge for the business was how to address the unique complexities and requirements of a very diverse group of bottlers with efficient infrastructure and standardized processes.” (Virtual Stream, n.d)
Case Study 4: Rocketbots improves its systems availability in difficult regions while optimizing the cost
“Since Rocketbots in its essence is a software solution built on the cloud, they needed the availability to give their customers their high-end solution at any time. For other providers giving Rocketbots the availability, they needed in Southeast Asia proved difficult. By leveraging Alibaba Cloud’s many data centers throughout Asia, Rocketbots was able to give their customers an optimized solution that would work well and more importantly was available when they needed it.“ (Alibaba Group, n.d)
Instructions:
The assessment requires you to prepare a report based on the case studies mentioned above.
Report Instructions:
Start off with a short introduction (approximately 250 words) stating what the report is about and some basic information relevant to the case study. For example, you can provide background information including some context related to cloud computing. This section will be written in complete sentences and paragraphs. No tables, graphs, diagrams or dot points should be included.
The main body of the report should comprise of four different sections of 250 words each (one section for each of the above mentioned case studies). With each section specifically addressing the following questions about the case study.
• Introduction of the case
• What was the challenge?
• How the challenge was solved?
• What were the different service models each utilized?
• What are the different deployment models each utilized?
• What services of public cloud providers each case study used?
• Reflection
Finally, write a conclusion (approximately 250 words) as a summary of your analysis of the case. This section brings together all of the information that you have presented in your report and should link to the purpose of the assessment as mentioned in the introduction. You can also discuss any areas which have been identified as requiring further investigation and how this will work to improve or change our understanding of the topic. This section does not introduce or discuss any new information specifically, and like the introduction, will be written in complete sentences and paragraphs. No tables, graphs, diagrams or dot points should be included.
Solution
Introduction
Cloud computing has brought about a change in the way that companies and other organizations manage and deliver information technology resources and services because it has made this process more adaptive, scalable, and cost-effective. Cloud computing has also brought about a revolution in the way that individuals access and use the internet. Cloud computing enables the online supply and utilization of a broad range of computer resources, including as servers, storage, databases, networking, software, and analytics. These resources may be accessed from anywhere with an internet connection. University Assignment Help, Amazon Web Services (AWS) is responsible for the development of cloud computing. Cloud service providers make accessible this game-changing technology, which enables it to be possible to accelerate corporate operations, boost collaboration, and encourage new thinking. Case studies demonstrate that cloud computing is relevant to a wide variety of use cases and may be advantageous to a variety of enterprises and organizations of all shapes and sizes. As an example of how cloud-based solutions may perhaps improve oil and gas operations in remote and challenging places, the first case study looks at XTO Energy's usage of Microsoft Azure IoT technology. The case study illustrates how cloud-based technologies have the potential to make oil and gas operations in challenging places more efficient. The unified log analytics solution that Autodesk offers, which is powered by Amazon Web Services (AWS), is an example of how cloud architecture may bypass issues related with data volume and cost while also providing real-time insights. The system was developed by Autodesk and is offered by Amazon Web Services (AWS).
Case study 1
Introduction of the Case
The case study focuses on XTO Energy, an ExxonMobil company that does business in North America's renowned oil-producing Permian Basin. By digitizing its operations, XTO Energy hopes to overcome the difficulties of managing and maximizing multiple scattered field assets. The organization utilizes Microsoft Azure IoT technology to gather data from wells electronically. For data processing, Azure solutions and Microsoft Dynamics 365 are used. Using these technologies, XTO Energy positions itself as an innovation leader in the oil and gas sector and obtains valuable insights into good operations and potential future drilling sites.
The Challenge
Due to the Permian Basin's vastness, climate, and separation between oil wells, XTO Energy needed help. Manual data collection by field personnel resulted in inefficiencies, safety concerns, and a delay in decision-making (Customers.microsoft.com, 2021). The absence of digital technology in the current infrastructure made it difficult to acquire data, slowed development, and constrained the advancement of safety measures.
The Solution
XTO Energy decided to use IoT and migrate to the cloud to solve these problems. To effectively collect real-time data, they combined Microsoft Azure IoT Edge devices with already-installed wellhead sensors (Georgiou et al., 2021). The data was sent over Azure IoT Hub and kept in Azure Cosmos DB and Data Lake. The data was prepared, visualized, and queried using Azure Stream Analytics and Time Series Insights.
Service Models Utilized
XTO Energy used various Azure services, such as a) Azure IoT Edge: To allow for edge preprocesses and real-time data collecting (Singh & Misra 2022). To manage and transport data from IoT devices, use Azure IoT Hub. c) Azure Stream Analytics: For real-time analytics and data preparation. d) Azure Time Series Insights: For storing, viewing, and searching enormous quantities of sequential data.
Deployment Models Utilized
The case study needs to mention the particular deployment methods used by XTO Energy for each Azure service. However, it can be deduced from the information given that cloud-based technologies were used in the implementation (Ahmed Khan et al. 2021). Azure was the foundational platform for XTO Energy's data storage, analytics, and visualization requirements. Thanks to the cloud-based design, field operators, engineers, and internal staff could quickly scale the system, manage it, and access the data via online and mobile tools.
Case study 2
Introduction of the case
The case study focuses on Autodesk, a prominent 3D design and engineering software provider. The company's primary goal is to develop and deliver software and ensure a seamless experience for its millions of global users. To achieve this, Autodesk needed to monitor and address software issues in real-time efficiently. However, their existing application-data log solution needed help to cope with the increasing volume of data for analysis and storage. The case explores how Autodesk built a fully managed unified log analytics solution on AWS to gain better insights and overcome their challenges.
The Challenge
Autodesk faced two main challenges: the growing volume of data that needed to be analyzed and stored. They were ingesting 2 TB of data daily, with expected growth to 10 TB within a few years. Their previous log solution experienced performance issues, hindering their ability to detect and address problems quickly. Second, given their small team size, the finance department urged them to find a more cost-effective logging solution.
The Solution
Autodesk built a cloud-based unified log data solution on AWS to improve log analysis capabilities for root-cause analysis. They used Amazon Kinesis Data Firehose as the data transport layer for logging data, Amazon Kinesis Data Analytics for real-time monitoring metrics, and Amazon CloudWatch for additional metrics displayed in standardized dashboards (Aws.amazon.com, 2023). Amazon OpenSearch Service allowed for interactive log analytics and real-time application monitoring, while Amazon Athena provided deeper interactive analytical querying. AWS X-Ray facilitated the analysis of trace data. Integrating Kibana with Amazon OpenSearch Service enabled real-time data visualization and monitoring dashboards.
Different Service Models Utilized
The case study doesn't explicitly mention different service models; however, we can infer that Autodesk used various AWS services to build its unified log analytics solution. These services fall into different categories, including data transport (Amazon Kinesis Data Firehose), real-time data analytics (Amazon Kinesis Data Analytics), metrics monitoring (Amazon CloudWatch), log analytics (Amazon OpenSearch Service and Amazon Athena), and trace data analysis (AWS X-Ray).
Different Deployment Models Utilized
The case study needs to provide specific details about the different deployment models Autodesk uses. However, we can infer that the deployment model is primarily a cloud-based approach on Amazon Web Services (AWS) (Mihai et al. 2022). Autodesk leveraged AWS's cloud infrastructure to build and manage its unified log analytics solution, which allowed them to quickly scale resources to accommodate the growing volume of logging data without worrying about underlying infrastructure management. This cloud-based approach eliminates data silos, enabling a unified view of logging data and promoting better collaboration among teams.
Case study 3
Introduction of the case
During Super Bowl XLVII in 2014, The Coca-Cola Company, a multinational beverage behemoth with more than 500 brands distributed in more than 207 countries, faced a considerable obstacle. The business saw a dramatic increase in website traffic due to its audience-interactive advertising campaign, encouraging viewers to vote online for their preferred commercial conclusion. There were delays and lousy user experiences due to the on-premises infrastructure's inability to manage the rapid inflow. This incident catalyzed Coca-Cola's decision to go to the public cloud and choose Amazon Web Services (AWS) as its cloud provider.
The challenge
The main issue for Coca-Cola was handling large visitation numbers since their current on-premises arrangement needed to be revised. Additionally, this configuration offered little operating flexibility and significant operational expenditures (Smart, T. (2023)). Coca-Cola moved to AWS to get around this problem, using its robust and scalable infrastructure to manage traffic surges and save expenses.
The Solution
During a Super Bowl campaign, Coca-Cola's website faced difficulties, prompting a cloud migration push. The business switched to AWS, using a DevOps methodology and deploying apps quickly with AWS Elastic Beanstalk. Additionally, it took advantage of AWS Auto Scaling to enhance performance. This moves reduced IT help desk requests by 80% and saved 40% on operational costs.
Different Service Models Utilized
Coca-Cola embraced the DevOps model to simplify operations and promote a quicker development cycle. Their creative firms may deploy apps more quickly thanks to the platform as a service (PaaS) AWS Elastic Beanstalk (Aws.amazon.com, 2014). They deployed AWS Auto Scaling, an infrastructure as a service (IaaS), to further optimize application performance and costs.
Different Deployment Models Utilized
Coca-Cola used an AWS public cloud deployment methodology for this move. The scalability and flexibility of the public cloud approach allowed for efficient resource management and handling of unexpected traffic spikes. During this change, operations significantly improved. Coca-Cola showed the potential of cloud solutions in improving operational efficiency and cost-effectiveness by realizing operational savings of 40% and an 80% drop in IT help desk requests.
Case study 4
Introduction of the Case
The case study centres on Rocketbots, a bot system that aids companies in tracking consumer interaction and providing first-rate customer support. By using the power of dialogue at scale and providing personalized communication across numerous channels, Rocketbots' objective is to improve the connection between companies and their consumers. However, they needed help assuring high availability for their cloud-based software solution, notably in Southeast Asia. Finding trustworthy suppliers in the area that could satisfy their availability needs proved challenging.
The Challenge
Rocketbots used Alibaba Cloud's services to solve the availability issue, using its vast network of data centres around Asia. By doing this, Rocketbots could provide its clients with a highly effective and readily available solution (Asia and South Pacific Design Automation Conference, 2020). Through optimized instances, they enhanced performance by 25% after switching to Alibaba Cloud. Additionally, since Alibaba Cloud does not charge for internal bandwidth consumption, they were able to lower expenditures by 65 per cent.
Different Service Models Utilized
Rocketbots used various service models throughout their time with Alibaba Cloud to improve the functionality of their platform and provide excellent user experiences. The highlighted goods used by the Rocketbots were as follows:
Elastic computing service (ECS): Providing secure virtual cloud servers with scalability and flexibility to adapt to changing needs, ECS is an online computing solution.
Function Compute enables Rocketbots to run code without actively managing infrastructure, significantly optimizing their operations. Function Compute is a serverless operating environment.
Different Deployment Models Utilized
Since Rocketbots moved to Alibaba Cloud's data centres throughout Asia, it may be assumed that they used a cloud-based deployment methodology, even though the case study does not explicitly discuss the various deployment types (Alibabacloud.com, 2023). With higher scalability and availability provided by cloud-based deployment,
Rocketbots can better serve its clients' demands.
Conclusion
Computing in the cloud must continue to have a significant impact on the digital world because it offers enterprises opportunities for growth and innovation that cannot be matched by any other technology. The case studies illustrate how cloud-based solutions have the potential to revolutionize corporate operations, boost scalability, and enhance the level of service that is provided to customers. Cloud computing provides the flexibility and agility that is required for handling tough activities such as enhancing oil and gas operations, optimizing log analytics, or managing a varied bottling firm. These are just some of the examples of challenging projects. These are just a few examples of the challenging problems that cloud computing has the capacity to resolve for their respective organizations. There are still a great many more.
Businesses working in any sector may come to the realization that adopting cloud computing allows them to maintain a competitive advantage, lowers the costs associated with running their firm, and improves the quality of the services they provide to their consumers. This realization could result in the widespread use of cloud computing. This comprehension could advance as a consequence of persistent efforts to innovate that are made by cloud service providers as well as the general progression of technology. It is expected that an increase in the number of organizations who are aware of the revolutionary potential of the cloud must result in an increase in the number of enterprises that use cloud computing. This must usher in a new age that must be characterized by tremendous advancements in technology and economies that are growing to a great extent.
References
Journals
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC) Beijing, China 2020 Jan. 13 - 2020 Jan. 16. (2020). 2020 25th asia and south pacific design automation conference (asp-dac). In [asp-dac 2020 front matter] (pp. 1–34). essay, IEEE. https://doi.org/10.1109/ASP-DAC47756.2020.9045704
Ahmed Khan, S., Kusi-Sarpong, S., Gupta, H., Kow Arhin, F., Nguseer Lawal, J., & Mehmood Hassan, S. (2021). Critical factors of digital supply chains for organizational performance improvement. Ieee Transactions on Engineering Management, Pp(99). https://doi.org/10.1109/TEM.2021.3052239
Georgiou, K., Mittal, N., Mamalikidis, I., Mitropoulos, A., & Angelis, L. (2021). Analyzing the roles and competence demand for digitalization in the oil and gas 4.0 era. Ieee Access, 9. https://doi.org/10.1109/ACCESS.2021.3124909
Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B., Shetve, D., Prasad, R. V., Venkataraman, H., Trestian, R., & Nguyen,
H. X. (2022). Digital twins: a survey on enabling technologies, challenges, trends and future prospects. Ieee Communications Surveys & Tutorials, 24(4). https://doi.org/10.1109/COMST.2022.3208773
Singh, K., & Misra, M. (2022). The evolving path of CSR: toward business and society relationship. Journal of Economic and Administrative Sciences, 38(2), 304–332. https://doi.org/10.1108/JEAS-04-2020-0052
Smart, T. (2023). Serverless beyond the buzzword : a strategic approach to modern cloud management (Second). Apress. https://doi.org/10.1007/978-1-4842-8761-3
Websites
Alibabacloud.com, 2023 Rocketbotshttps://www.alibabacloud.com/customers/rocketbots
Aws.amazon.com, 2014 Coca-Cola Migrates to AWS to Achieve 40% Operational Savings
https://aws.amazon.com/solutions/case-studies/coca-cola-migration/
Aws.amazon.com, 2023 Autodesk Builds Unified Log Analytics Solution on AWS to Gain New Insights https://aws.amazon.com/solutions/case-studies/autodesk-log-analytics/
Customers.microsoft.com, 2021 XTO Energy taps into IoT and the cloud to optimize operations and drive growth with Azure and Dynamics 365 https://customers.microsoft.com/en-us/story/exxonmobil-mining-oil-gas-azure
Would you like to schedule a callback?
Send us a message and we will get back to you
Highlights
Earn While You Learn With Us
Confidentiality Agreement
Money Back Guarantee
Live Expert Sessions
550+ Ph.D Experts
21 Step Quality Check
100% Quality
24*7 Live Help
On Time Delivery
Plagiarism-Free
81 Isla Avenue Glenroy, Mel, VIC, 3046 AU
