Sample ICC104 Introduction to Cloud Computing Case Study 2

ICC104 Introduction to Cloud Computing Case Study 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)

Read the full Case study: https://customers.microsoft.com/en-us/story/exxonmobil-mining-oil-gasazure

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)

Read the full Case Study at https://aws.amazon.com/solutions/case-studies/autodesk-log analytics/

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)
Read the full Case Study at https://www.virtustream.com/solutions/case-studies/coca-cola

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)

Read the Complete Case Study: https://www.alibabacloud.com/customers/rocketbots

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. 

Solutions

Introduction:

This report explores the transformative power of cloud computing through a compilation of four diverse case studies. Cloud computing has emerged as a technological game-changer, offering businesses access to scalable, flexible, and cost-effective solutions to various challenges. For Assignment Help, Public cloud providers, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and Alibaba Cloud, have risen as industry leaders, offering various services to cater to businesses of all sizes and industries.

In the digital age, organisations face ever-increasing pressure to adapt and innovate to remain competitive. Cloud computing has driven this transformation, enabling businesses to modernise their IT infrastructure, improve operational efficiency, enhance data management and analytics, and deliver superior customer experiences.

Throughout the case studies, we will examine each company's unique challenges and how they utilised cloud solutions to overcome these obstacles. We will also explore each organisation's different service and deployment models and the specific cloud services provided by public cloud providers in each instance.

As we delve into the intricacies of each case, we will witness the diverse applications of cloud computing, from optimising mining operations and enhancing software development to modernising IT Infrastructure and streamlining customer engagement. These real-world examples will provide valuable insights into the potential of cloud technologies to drive innovation and shape the future of businesses across various sectors. In an ever-changing digital landscape, cloud computing is a strategic imperative for organisations seeking to thrive in the modern era.

Case Study 1:

• Introduction: ExxonMobil, a global oil and gas industry leader, faced a significant challenge in optimising its mining operations for increased efficiency and productivity. To tackle this issue, they sought a cutting-edge solution that could leverage modern technologies to streamline their processes and enhance their overall performance.

• Challenge: ExxonMobil's complex mining operations involved extensive data processing, analysis, and management. The vast amounts of data generated from their mining sites made it imperative to find a solution that could handle the volume, velocity, and variety of data while ensuring data security and compliance (Microsoft. 2018).

• Solution: Azure's advanced data analytics and machine learning tools enabled them to gain valuable insights from the data, facilitating better decision-making and predictive maintenance strategies.

• Service Models: ExxonMobil utilised various service models provided by Microsoft Azure to address different aspects of its mining operations. They leveraged Infrastructure as a Service (IaaS) for scalable and flexible computing resources to efficiently manage their mining data and applications. Platform as a Service (PaaS) was used to build and seamlessly deploy custom data analytics and machine learning solutions.

• Deployment Models: ExxonMobil employed a hybrid deployment model to ensure the best utilisation of resources and meet specific operational requirements.

• Public Cloud Services: In their collaboration with Microsoft Azure, ExxonMobil utilised various services, including Azure Virtual Machines, Azure Machine Learning, Azure Data Factory, and Azure Kubernetes Service.

• Reflection: ExxonMobil's adoption of Microsoft Azure's cloud services exemplifies how cutting-edge technologies can revolutionise traditional industries. By leveraging Azure's advanced tools and service models, ExxonMobil successfully tackled their challenges, improving operational efficiency and increasing its competitive advantage in the oil and gas sector.

Case Study 2:

• Introduction: Autodesk, a renowned software company specialising in 3D design, engineering, and entertainment software, faced a critical challenge in efficiently managing and analysing their vast amounts of log data.

• Challenge: Autodesk's diverse suite of software products generated a massive volume of log data from various sources. The challenge lay in processing, storing, and analysing this data in real time to identify and resolve issues, monitor application performance, and optimise software development.

• Solution: AWS provided Autodesk with an efficient and cost-effective solution to address its log analytics challenge. Autodesk could centralise and streamline its log data management by adopting AWS Cloud services. AWS offered highly scalable storage options and powerful data processing tools that allowed Autodesk to easily handle large volumes of log data (Amazon Web Services).

• Service Models: Autodesk utilised multiple service models provided by AWS to optimise their log analytics. They leveraged Infrastructure as a Service (IaaS) for scalable computing resources, enabling them to deploy log processing applications without managing underlying hardware.

• Deployment Models: To meet their specific requirements and ensure seamless integration, Autodesk employed a hybrid deployment model. They retained critical on-premises Infrastructure for certain sensitive data while migrating non-sensitive log data and analytics to the AWS cloud.

• Public Cloud Services: In their collaboration with AWS, Autodesk utilised a range of services, including Amazon S3 for cost-effective and scalable object storage, Amazon EC2 for resizable compute capacity, and Amazon CloudWatch for real-time monitoring and alerting of log data.

• Reflection: Autodesk's successful integration of AWS cloud services for log analytics exemplifies how public cloud solutions can revolutionise business data management and analysis. By adopting AWS's versatile service and deployment models, Autodesk overcame the challenges posed by the massive scale of log data and transformed its log analytics process. This case study illustrates the power of cloud-based solutions in enabling companies to harness the full potential of their data, make informed decisions, and enhance overall business performance.

Case Study 3:

• Introduction: Coca-Cola, the world-renowned beverage company, embarked on a transformative journey to migrate its IT Infrastructure to the cloud. To achieve this, they partnered with Amazon Web Services (AWS), a leading public cloud provider known for its robust and scalable solutions.

• Challenge: Coca-Cola faced the challenge of modernising its IT infrastructure to keep pace with rapidly evolving business needs. Their existing on-premises systems struggled to handle the increasing demands of data processing, storage, and global accessibility.

• Solution: AWS offered Coca-Cola a comprehensive cloud solution that addressed its challenges. By migrating to AWS Cloud, Coca-Cola could leverage various services to modernise its applications, streamline data management, and enhance overall agility.

• Service Models: Coca-Cola utilised various service models provided by AWS to meet its diverse requirements. They leveraged Infrastructure as a Service (IaaS) to flexibly manage their computing resources and storage needs (Atchison, 2020).

• Deployment Models: To ensure a smooth and secure migration, Coca-Cola adopted a hybrid deployment model. They moved some of their applications and workloads to the AWS cloud while retaining sensitive data and critical operations in their on-premises Infrastructure (AWS., 2014).

• Public Cloud Services: In their collaboration with AWS, Coca-Cola used a wide array of cloud services. These included Amazon EC2 for resizable compute capacity, Amazon S3 for secure and scalable object storage, Amazon RDS for managed relational databases, and Amazon Redshift for advanced data analytics.

• Reflection: Coca-Cola's successful migration to AWS Cloud showcases the potential of public cloud solutions in addressing modern business challenges. By embracing AWS's service and deployment models, Coca-Cola effectively modernised their IT infrastructure, gaining improved scalability, flexibility, and cost-efficiency. This case study is an excellent example of how cloud migration can empower businesses to stay competitive, foster innovation, and adapt to the ever-changing technological landscape.

Case Study 4:

• Introduction: Rocketbots, a leading customer engagement platform, faced a significant challenge in managing and analysing vast customer data while ensuring seamless interactions across various messaging channels.

• Challenge: Rocketbots needed to efficiently handle large volumes of customer data generated through multiple messaging platforms like WhatsApp, Facebook Messenger, and more.

• Solution: Alibaba Cloud provided Rocketbots with a powerful and scalable cloud infrastructure to address customer engagement needs. By leveraging Alibaba Cloud's robust computing resources and AI capabilities, Rocketbots could process and analyse customer data in real-time (Alibaba Group).

• Service Models: Rocketbots utilised various service models offered by Alibaba Cloud to bolster their customer engagement platform. They leveraged Infrastructure as a Service (IaaS) for scalable computing resources to efficiently handle data processing and analytics.

• Deployment Models: Rocketbots adopted a hybrid deployment model to cater to their specific requirements. They integrated Alibaba Cloud's services with their Infrastructure to maintain data privacy and compliance.

• Public Cloud Services: In their collaboration with Alibaba Cloud, Rocketbots utilised various services. These included Alibaba Cloud Elastic Compute Service (ECS) for flexible computing resources, Alibaba Cloud Machine Learning Platform for AI-driven insights, and Alibaba Cloud Object Storage Service (OSS) for secure and scalable data storage (Artificial Intelligence and Cloud Computing Conference 2018).

• Reflection: Rocketbots' successful partnership with Alibaba Cloud demonstrates the power of public cloud solutions in optimising customer engagement and data management. By embracing Alibaba Cloud's service and deployment models, Rocketbots achieved enhanced scalability, real-time data analytics, and personalised customer interactions.

Conclusion:

The case studies presented in this report highlight the significant impact of cloud computing on businesses across diverse industries. The transformative potential of cloud solutions is evident in the successful outcomes of ExxonMobil, Autodesk, Coca-Cola, and Rocketbots. By adopting cloud services, these companies improved operational efficiency, optimised data management, and enhanced customer engagement. The versatility and scalability of public cloud providers, such as AWS, Microsoft Azure, Google Cloud, and Alibaba Cloud, played a pivotal role in driving innovation and delivering exceptional results. As cloud computing continues to evolve, businesses must recognise its strategic importance and embrace this technology to stay competitive and thrive in the digital era. In the rapidly evolving digital landscape, cloud computing has emerged as a catalyst for business transformation. The case studies of ExxonMobil, Autodesk, Coca-Cola, and Rocketbots provide compelling evidence of how cloud solutions can revolutionize operations, data management, and customer engagement. These real-world examples demonstrate that cloud computing is no longer just a technological trend but a fundamental enabler of innovation and growth.

The scalability, flexibility, and cost-effectiveness offered by public cloud providers have empowered companies to modernize their IT infrastructure and optimize processes. The ability to harness massive amounts of data in real-time through cloud-based analytics and machine learning has allowed businesses to make data-driven decisions and gain a competitive edge. Moreover, the adoption of hybrid cloud models has enabled organizations to strike a balance between maintaining critical operations on-premises and leveraging the cloud's agility and scalability.

References