cloud computing case study topics

Cloud Computing Case Studies

Cloud computing case studies showcase real-world examples of how organizations have successfully adopted and leveraged cloud technologies to drive business growth, optimize costs, and improve operational efficiency. Here are a few notable cloud computing case studies across various industries:

• Netflix: Netflix, the leading online streaming service, relies on the Amazon Web Services (AWS) cloud infrastructure to support its massive scale and global reach. By adopting a cloud-first strategy, Netflix has been able to rapidly deploy new features, scale its infrastructure on demand, and provide a seamless streaming experience to millions of users worldwide.
• Airbnb: Airbnb, the popular online marketplace for lodging, primarily uses AWS to host its applications and manage its massive amounts of data. By leveraging cloud services, Airbnb has scaled rapidly, streamlined its operations, and developed innovative features to enhance user experience and satisfaction.
• Capital One: Capital One, a leading financial institution, migrated a significant portion of its infrastructure to AWS, enabling the company to reduce its data center footprint and focus on delivering innovative digital banking solutions. By adopting a cloud-first approach, Capital One has accelerated its software development lifecycle and enhanced its security posture.
• General Electric (GE): GE, a multinational conglomerate, transitioned its on-premises IT infrastructure to the cloud using a mix of AWS and Microsoft Azure services. The migration helped GE improve efficiency, reduce costs, and accelerate its digital transformation efforts, allowing it to develop and deploy IoT and analytics solutions across various industries.
• Coca-Cola: The global beverage giant Coca-Cola moved its customer engagement and collaboration platform to the Google Cloud Platform (GCP). By leveraging Google’s cloud services, Coca-Cola has enhanced its global data analytics capabilities, improved its supply chain efficiency, and delivered personalized experiences to its customers.
• Shell: The multinational oil and gas company Shell partnered with Microsoft Azure to optimize its business processes and accelerate its digital transformation initiatives. By migrating its applications and data to the cloud, Shell has improved operational efficiency, reduced IT costs, and enhanced its data analytics and AI capabilities.

These case studies demonstrate how organizations from various industries have successfully adopted cloud computing to drive innovation, improve operational efficiency, and achieve their strategic objectives. By learning from these examples, other organizations can gain insights into the benefits of cloud adoption and identify best practices to implement in their cloud journey.

The Cloud Computing Case Studies category within our CIO Reference Library is a curated collection of resources, articles, and insights featuring real-world examples of successful cloud computing implementations across various industries and organizations. This category focuses on providing IT leaders with the knowledge and inspiration necessary to learn from the experiences, challenges, and triumphs of others, helping them to make informed decisions and develop effective strategies for their cloud initiatives.

In this category, you will find valuable information on a wide range of topics related to cloud computing case studies, including:

• Detailed accounts of organizations that have successfully adopted migrated to, and managed cloud computing environments, highlighting the strategies, processes, and best practices employed in each case.
• Examples of companies that have leveraged cloud computing to transform their IT infrastructure, operations, and services, leading to significant improvements in cost-efficiency, agility, and innovation.
• Case studies showcasing how organizations have overcome common challenges and risks associated with cloud computing, such as security, compliance, and data privacy concerns.
• Stories of businesses that have successfully navigated the complexities of cloud migration, including the planning, execution, and optimization of cloud adoption efforts.
• Accounts of organizations implementing cloud-native applications and services demonstrate the unique benefits and advantages of cloud-based solutions in various industries and use cases.
• Insights into the ROI and overall business impact of cloud computing initiatives, illustrating the potential value and benefits of successful cloud adoption for organizations of all sizes and sectors.
• Lessons learned and key takeaways from each case study provide valuable insights and guidance for IT leaders embarking on their cloud computing journey.

By exploring the Cloud Computing Case Studies category, IT leaders can gain a deeper understanding of the real-world challenges, successes, and lessons learned by organizations in their cloud computing endeavors. This knowledge will enable you to draw upon the experiences of others to inform your own cloud strategies, practices, and initiatives, ensuring the successful adoption and management of cloud-based technologies and services and maximizing the benefits of cloud computing for your organization.

Case Study: Implementing Cloud Computing for Organizational Efficiency

This case study explores the effective implementation of cloud computing in an organizational setting, highlighting key decisions, strategies for enhancing efficiency and scalability. An excellent discussion for the CIO who wants to understand the business and technical issues related to cloud computing. Excellent Read! (150 pages)

Case Study – Comprehensive Guide to Strategic Cloud Computing Implementation

This strategic guide provides a framework for organizations to adopt cloud computing, focusing on risk management, cost efficiency, and operational enhancement.

Case Study of Cloud Computing Implementation

Discover the drivers, strategy, plan, and implementation considerations in a cloud computing migration through this insightful case study. Join industry experts as they share their experiences and best practices.

Transforming IT Operations: A Case Study on Cloud Computing Implementation

This case study showcases the successful implementation of cloud computing, revealing strategies for overcoming common challenges and enhancing operational efficiency. It highlights the objectives, approach, and process followed to implement cloud computing. This case study can also be used as a template to report the progress of your cloud computing program.

Case Study: Strategic Hybrid Cloud Computing Architecture Implementation

This case study details the implementation of cloud computing architecture in the enterprise.

Case Study: Strategic Framework for Enterprise Private Cloud Architecture and Implementation

This framework can help build a private cloud infrastructure to enhance your enterprise’s IT agility, security, and operational efficiency.

An Audit Perspective on Cloud Computing

This powerpoint presentation introduces cloud computing, highlights the risks associated with it, discusses how to monitor and control them using industry standard frameworks, and illustrates this with a case study.

Developing an Enterprise Cloud Computing Strategy

This whitepaper discusses Intel's cloud computing strategy that believes in adopting the cloud form the inside out. Authored by Intel's employees engaged in implementing the cloud internally it details the opportunistic strategy taking advantage of Saas and gaining experience with IaaA as they prepare for what they characterize a major transition.

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Top 15 Cloud Computing Research Topics in 2024

Cloud computing has suddenly seen a spike in employment opportunities around the globe with tech giants like Amazon , Google , and Microsoft hiring people for their cloud infrastructure . Before the onset of cloud computing , companies and businesses had to set up their own data centers , and allocate resources and other IT professionals thereby increasing the cost. The rapid development of the cloud has led to more flexibility , cost-cutting , and scalability .

The Cloud Computing market is at an all-time high with the current market size at USD 371.4 billion and is expected to grow up to USD 832.1 billion by 2025 ! It’s quickly evolving and gradually realizing its business value along with attracting more and more researchers , scholars , computer scientists , and practitioners. Cloud computing is not a single topic but a composition of various techniques which together constitute the cloud . Below are 10 of the most demanded research topics in the field of cloud computing .

What is Cloud Computing?

Cloud computing is the practice of storing and accessing data and applications on remote servers hosted over the internet, as opposed to local servers or the computer’s hard drive. Cloud computing, often known as Internet-based computing, is a technique in which the user receives a resource as a service via the Internet. Files, photos, documents, and other storable documents can all be considered types of data that are stored.

Let us look at the latest in cloud computing research for 2024! We’ve compiled 15 important cloud computing research topics that are changing how cloud computing is used.

1. Big Data

Big data refers to the large amounts of data produced by various programs in a very short duration of time. It is quite cumbersome to store such huge and voluminous amounts of data in company-run data centers . Also, gaining insights from this data becomes a tedious task and takes a lot of time to run and provide results, therefore cloud is the best option. All the data can be pushed onto the cloud without the need for physical storage devices that are to be managed and secured. Also, some popular public clouds provide comprehensive big data platforms to turn data into actionable insights.

DevOps is an amalgamation of two terms, Development and Operations . It has led to Continuous Delivery , Integration, and Deployment therefore reducing boundaries between the development team and the operations team . Heavy applications and software need elaborate and complex tech stacks that demand extensive labor to develop and configure which can easily be eliminated by cloud computing . It offers a wide range of tools and technologies to build , test , and deploy applications within a few minutes and a single click. They can be customized as per the client’s requirements and can be discarded when not in use hence making the process seamless and cost-efficient for development teams .

3. Cloud Cryptography

Data in the cloud needs to be protected and secured from foreign attacks and breaches . To accomplish this, cryptography in the cloud is a widely used technique to secure data present in the cloud . It allows users and clients to easily and reliably access the shared cloud services since all the data is secured using either encryption techniques or by using the concept of the private key . It can make the plain text unreadable and limit the view of the data being transferred. Best cloud cryptographic security techniques are the ones that do not compromise the speed of data transfer and provide security without delaying the exchange of sensitive data.

4. Cloud Load Balancing

It refers to splitting and distributing the incoming load to the server from various sources. It permits companies and organizations to govern and supervise workload demands or application demands by redistributing, reallocating, and administering resources between different computers, networks, or servers. Cloud load balancing encompasses holding the circulation of traffic and demands that exist over the Internet. This reduces the problem of sudden outages, results in an improvement in overall performance, has rare chances of server crashes and also provides an advanced level of security. Cloud-based server farms can accomplish more precise scalability and accessibility using the server load balancing mechanism . Due to this, the workload demands can be easily distributed and controlled.

5. Mobile Cloud Computing

It is a mixture of cloud computing , mobile computing , and wireless network to provide services such as seamless and abundant computational resources to mobile users, network operators, and cloud computing professionals. The handheld device is the console and all the processing and data storage takes place outside the physical mobile device. Some advantages of using mobile cloud computing are that there is no need for costly hardware, battery life is longer, extended data storage capacity and processing power, improved synchronization of data, and high availability due to “store in one place, accessible from anywhere”. The integration and security aspects are taken care of by the backend that enables support to an abundance of access methods.

6. Green Cloud Computing

The major challenge in the cloud is the utilization of energy-efficient and hence develop economically friendly cloud computing solutions. Data centers that include servers , cables , air conditioners , networks , etc. in large numbers consume a lot of power and release enormous quantities of Carbon Dioxide in the atmosphere. Green Cloud Computing focuses on making virtual data centers and servers to be more environmentally friendly and energy-efficient. Cloud resources often consume so much power and energy leading to a shortage of energy and affecting the global climate. Green cloud computing provides solutions to make such resources more energy efficient and to reduce operational costs. This pivots on power management , virtualization of servers and data centers, recycling vast e-waste , and environmental sustainability .

7. Edge Computing

It is the advancement and a much more efficient form of Cloud computing with the idea that the data is processed nearer to the source. Edge Computing states that all of the computation will be carried out at the edge of the network itself rather than on a centrally managed platform or data warehouse. Edge computing distributes various data processing techniques and mechanisms across different positions. This makes the data deliverable to the nearest node and the processing at the edge . This also increases the security of the data since it is closer to the source and eliminates late response time and latency without affecting productivity

8. Containerization

Containerization in cloud computing is a procedure to obtain operating system virtualization . The user can work with a program and its dependencies utilizing remote resource procedures . The container in cloud computing is used to construct blocks, which aid in producing operational effectiveness , version control , developer productivity , and environmental stability . The infrastructure is upgraded since it provides additional control over the granular activities of the resources. The usage of containers in online services assists storage with cloud computing data security, elasticity, and availability. Containers provide certain advantages such as a steady runtime environment , the ability to run virtually anywhere, and the low overhead compared to virtual machines .

9. Cloud Deployment Model

There are four main cloud deployment models namely public cloud , private cloud , hybrid cloud , and community cloud . Each deployment model is defined as per the location of the infrastructure. The public cloud allows systems and services to be easily accessible to the general public . The public cloud could also be less reliable since it is open to everyone e.g. Email. A private cloud allows systems and services to be accessible inside an organization with no access to outsiders. It offers better security due to its access restrictions. A hybrid cloud is a mixture of private and public clouds with critical activities being performed using the private cloud and non-critical activities being performed using the public cloud. Community cloud allows systems and services to be accessible by a group of organizations.

10. Cloud Security

Since the number of companies and organizations using cloud computing is increasing at a rapid rate, the security of the cloud is a major concern. Cloud computing security detects and addresses every physical and logical security issue that comes across all the varied service models of code, platform, and infrastructure. It collectively addresses these services, however, these services are delivered in units, that is, the public, private, or hybrid delivery model. Security in the cloud protects the data from any leakage or outflow, theft, calamity, and removal. With the help of tokenization, Virtual Private Networks , and firewalls , data can be secured.

11. Serverless Computing

Serverless computing is a way of running computer programs without having to manage the underlying infrastructure. Instead of worrying about servers, networking, and scaling, you can focus solely on writing code to solve your problem. In serverless computing, you write small pieces of code called functions. These functions are designed to do specific tasks, like processing data, handling user requests, or performing calculations. When something triggers your function, like a user making a request to your website or a timer reaching a certain time, the cloud provider automatically runs your function for you. You don’t have to worry about setting up servers or managing resources.

12. Cloud-Native Applications

Modern applications built for the cloud , also known as cloud-native applications , are made so to take full advantage of cloud computing environments . Instead of bulky programs like monolithic systems , they’re built to prioritize flexibility , easy scaling , reliability , and constant updates . This modular approach allows them to adapt to changing needs by growing or shrinking on demand, making them perfect for the ever-shifting world of cloud environments. Deployed in various cloud environments like public, private, or hybrid clouds, they’re optimized to make the most of cloud-native technologies and methodologies . Instead of one big chunk, they’re made up of lots of smaller pieces called microservices .

13. Multi-Cloud Management

Multi-cloud management means handling and controlling your stuff (like software, data, and services) when they’re spread out across different cloud companies, like Amazon, Google, or Microsoft. It’s like having a central command center for your cloud resources spread out across different cloud services. Multi-cloud gives you the freedom to use the strengths of different cloud providers. You can choose the best service for each specific workload, based on factors like cost, performance, or features. This flexibility allows you to easily scale your applications up or down as required by you. Managing a complex environment with resources spread across multiple cloud providers can be a challenge. Multi-cloud management tools simplify this process by providing a unified view and standardized management interface.

14. Blockchain in Cloud Computing

Cloud computing provides flexible storage and processing power that can grow or shrink as needed. Blockchain keeps data secure by spreading it across many computers. When we use them together, blockchain apps can use the cloud’s power for big tasks while keeping data safe and transparent. This combo boosts cloud data security and makes it easy to track data. It also lets people manage their identities without a central authority. However, there are challenges like making sure different blockchain and cloud systems work well together and can handle large amounts of data.

15. Cloud-Based Internet of Things (IoT)

Cloud-based Internet of Things (IoT) refers to the integration of cloud computing with IoT devices and systems. This integration allows IoT devices to leverage the computational power, storage, and analytics capabilities of cloud platforms to manage, process, and analyze the vast amounts of data they generate. The cloud serves as a central hub for connecting and managing multiple IoT devices, regardless of their geographical location. This connectivity is crucial for monitoring and controlling devices remotely.

Also Read Cloud computing Research challenges 7 Privacy Challenges in Cloud Computing Difference Between Cloud Computing and Fog Computing

Cloud computing has helped businesses grow by offering greater scalability , flexibility , and saving money by charging less money for the same job. As cloud computing is having a great growth period right now, it has created lots of employment opportunities and research work is done is different areas which is changing the future of this technology. We have discussed about the top 15 cloud computing research topics . You can try to explore and research in these areas to contribute to the growth of cloud computing technology .

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Cloud computing  has been credited with increasing competitiveness through cost savings, greater flexibility, elasticity, and optimal resource utilization. As a technology, cloud computing is more than the sum of its parts. It opens doors to  cloud-native  technologies, supports more efficient ways of working and enables emerging capabilities in machine learning (ML) and artificial intelligence (AI).

Here’s how organizations are putting cloud computing to work to drive business value.

Infrastructure-as-a-Service (IaaS)  delivers fundamental compute, network, and storage resources to consumers on-demand, over the Internet and on a pay-as-you-go basis. Using cloud infrastructure on a pay-per-use scheme enables companies to save on the costs of acquiring, managing, and maintaining their own IT infrastructure. Plus, the cloud is easily accessible. Most major cloud service providers—including Amazon Web Services (AWS), Google Cloud, IBM Cloud®, and Microsoft Azure—offer IaaS with their cloud computing services.

Platform-as-a-Service (PaaS)  provides customers a complete cloud platform—hardware, software and infrastructure—for developing, running, and managing applications without the cost, complexity, and inflexibility of building and maintaining that platform on-premises. Organizations may turn to PaaS for the same reasons they look to IaaS. They want to increase the speed of development on a ready-to-use platform and deploy applications with a predictable and cost-effective pricing model.

While  Software-as-a-Service (SaaS) is similar to the IaaS and PaaS uses  described previously, it actually deserves its own mention for the undeniable change this model has brought about in the way companies use software. SaaS offers software access online via a subscription, rather than IT teams having to buy and install it on individual systems.

SaaS providers, like Salesforce, enable software access anywhere, anytime, as long as there’s an Internet connection. These tools have opened access to more advanced tools and capabilities, like automation, optimized workflows and collaboration in real-time in various locations.

Hybrid cloud  is a computing environment that connects a company’s on-premises private cloud services and third-party  public cloud  services into a single, flexible infrastructure for running critical applications and workloads. This unique mix of public and private cloud resources makes it easier to select the optimal cloud for each application or workload. And then move the workloads freely between the two clouds as circumstances change. With a hybrid cloud infrastructure, technical and business objectives are fulfilled more effectively and cost-efficiently than could be achieved with a public or private cloud alone.

The video “Hybrid Cloud Explained” provides a more in-depth discussion of the computing environment:

Multicloud  takes things a step further and allows organizations to use two or more clouds from different cloud providers. This type of cloud computing can include any mix of IaaS, PaaS, or SaaS resources. With multicloud, workloads can be run in different cloud environments to match unique needs. This also means that companies can avoid vendor lock-in.

To learn more about how these options compare, see “ Distributed Cloud vs. Hybrid Cloud vs. Multicloud vs. Edge Computing .”

One of the best use cases for the cloud is a software development environment. DevOps teams can quickly spin up development, testing, and production environments tailored for specific needs. This can include, but is not limited to, automated provisioning of physical and  virtual machines .

To perform testing and development in-house, organizations must secure a budget and set up the testing environment with physical assets. Then comes the installation and configuration of the development platform. All this can often extend the time that it takes for a project to be completed and stretch out the milestones. Cloud computing speeds up this process with cloud-based development tools that make creating apps and software faster, easier, and more cost-effective.

One of the main benefits of cloud computing is how it facilitates the  DevOps  process,  CI/CD pipelines , and cloud-native advancements (for example,  microservices ,  serverless, and containerization ). These technologies have led to rapid acceleration and innovation, but also require a self-sustaining cloud infrastructure to support the hundreds of services.

By using the computing power of cloud computing, companies can gain powerful insights and optimize business processes through  big data analytics .

There is a massive amount of data collected each day from corporate endpoints, cloud applications and the users who interact with them. Cloud computing allows organizations to tap into vast quantities of both  structured and unstructured data  available to harness the benefit of extracting business value.

Retailers and suppliers are now extracting information that is derived from consumers’ buying patterns to target their advertising and marketing campaigns to a particular segment of the population. Social networking platforms are providing the basis for analytics on behavioral patterns that organizations are using to derive meaningful information. Businesses like these and more are also able to harness deeper insights through  machine learning (ML)  and  artificial intelligence (AI) , two capabilities made possible with cloud computing.

Learn more about the intricacies of these technologies by reading “ AI vs. Machine Learning vs. Deep Learning vs. Neural Networks. ”

Cloud data storage enables files to be automatically saved to the cloud, and then they can be accessed, stored, and retrieved from any device with an Internet connection. Rather than maintaining their own data centers for storage, organizations can only pay for the amount of cloud storage they are actually consuming. They can do so without the worries of overseeing the daily maintenance of the storage infrastructure.  The result is higher availability, speed, scalability, and security for the data storage environment.

In situations where regulations and concerns about sensitive data are at play, organizations can store data either on- or off-premises, in a private or hybrid cloud model, for added security.

Yet another benefit that is derived from using cloud is the cost-effectiveness of a  disaster recovery (DR) solution that provides for faster recovery from a mesh of different physical locations at a reduced cost than a traditional DR site.

Building a DR site and testing a business continuity plan can be an expensive and time-consuming task with fixed assets. However, when built in the cloud organizations can replicate their production site and constantly replicate data and configuration settings, saving considerable time and resources.

Similarly,  backing up data  has always been a complex and time-consuming operation. Cloud-based backup, while not being the panacea, is certainly a far cry from what it used to be. Organizations can now automatically dispatch data to any location with the assurance that neither security, availability, nor capacity are issues.

While these seven uses of cloud computing are not exhaustive, it shows the clear incentives for using the cloud to increase IT infrastructure flexibility. While also making the most of big data analytics,  mobile computing  and emerging technologies.

IBM Cloud offers the most open and secure public cloud platform for business, a next-generation hybrid multicloud platform, advanced data and AI capabilities, and deep enterprise expertise across 20 industries. IBM Cloud hybrid cloud solutions deliver flexibility and portability for both applications and data. Linux®, Kubernetes, and containers support this hybrid cloud stack, and they combine with RedHat® OpenShift® to create a common platform connecting on-premises and cloud resources.

Learn how IBM Cloud solutions can help your organization with the following:

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• Speed software and services delivery with  DevOps
• Integrate applications  and data across multiple clouds
• Accelerate your journey to  artificial intelligence
• Leverage  5G and edge computing

To get started, sign up for an IBMid and  create your IBM Cloud account .

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Current: Preparing teenagers for financial responsibility

About Current

Current is a financial technology company that offers a debit card and app made for teenagers. The app and card give teens hands-on learning with modern financial tools, and connects them with the people, brands, and experiences they value.

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Current uses google kubernetes engine on google cloud to improve time to market for app development by 400% while eliminating downtime for users of its debit card app., google cloud results.

• Improves time to market for app development by 400%
• Eliminates downtime for customers
• Enables deployment of new services in hours versus days
• Reduces total cloud hosting costs by 60%

80% reduction in error resolution time

When it comes to developing good financial habits, it pays to start early. Talking to teens about money and monitoring how they spend it helps set them up for a more financially sound future and can have long-term implications for the rest of their lives.

Instead of handing teens cash, many parents are using Current , a Visa chip debit card and smartphone app that helps teens learn how to budget money. Teens can set savings goals, check their balances, earn money by completing chores, and even give to charity. Parents can set an automated allowance, create and approve chores, and easily track their children’s spending with real-time alerts.

To grow, Current must keep its app secure, reliable, and high performing. As a startup, the company started by developing and hosting its app on a simple infrastructure, managing virtual machines with manual processes. As its user base surpassed 25,000 daily active customers, Current began to notice performance bottlenecks, particularly with the Neo4j graph database it uses to store and expose relationships among users, family members, and their debit cards and connected banks. Running the database on a shared application server made it difficult to measure the cost of the required CPU time and memory footprint. Current also lacked a robust way to log and profile the database.

Current considered using a hosted Neo4j solution, but worried that it would limit its ability to deploy in different availability zones as the company grew. Current was also concerned that a hosted solution would drastically increase costs.

“Since moving to Google Cloud, we’ve been able to sustainably grow our user base 7x to more than 175,000 users, and we haven’t experienced any downtime for our services. We’ve also received a lot of collaboration and support from Google, which we weren’t getting from other cloud providers.”

After a short stint with another cloud provider, Current decided to build its own graph database cluster on Google Cloud . The highly available implementation—including a monitoring agent and backup agent—came in at half the cost of a hosted solution or alternative cloud provider according to Trevor Marshall, Chief Technology Officer at Current. Once the engineering team saw the power and reliability of Google Cloud, Current began exploring deeper integration with Google Cloud services.

“Since moving to Google Cloud, we’ve been able to sustainably grow our user base 7x to more than 175,000 users, and we haven’t experienced any downtime for our services,” says Trevor. “We’ve also received a lot of collaboration and support from Google, which we weren’t getting from other cloud providers.”

Accelerating time-to-market

Current now hosts most of its applications in Docker containers, including its business-critical GraphQL API, using Google Kubernetes Engine to automate cluster deployment and management of containerized applications while keeping applications available. Container images are stored on Google Container Registry for fast, scalable retrieval. Integrated logging with Google Stackdriver makes it easy to identify issues, and Current can scale up or down as needed to keep performance high and costs low, with zero downtime for users.

“Moving to Google Cloud reduced our error resolution times by 80% and improved our time to market for app development by 400%. We can iterate quickly, find issues, and redeploy. There’s no reason whatsoever to run Kubernetes outside of Google Cloud, because Google does such a good job.”

With a fully managed environment for containerized applications, Current can deploy new services in hours instead of days while keeping its staffing footprint small. When the company does add team members, they can focus on app development instead of managing and troubleshooting infrastructure.

“Moving to Google Cloud reduced our error resolution times by 80% and improved our time to market for app development by 400%,” says Trevor. “We can iterate quickly, find issues, and redeploy. There’s no reason whatsoever to run Kubernetes outside of Google Cloud, because Google does such a good job.”

Current has released a variety of compelling new features since moving to Google Cloud, including a referral program to recruit more customers and an improved notification feed to inspire more conversations about finances between parents and teens. It also restructured its app to highlight users’ favorite features, including a dedicated allowance section and improved chore management. The new app also communicates with Current’s Kubernetes Engine hosted GraphQL API. Current’s use of GraphQL greatly improves performance by minimizing the data that is sent between the app and the backend, and enables Current’s front-end engineers to share code, increasing developer efficiency.

Improving data and network security

As a financial technology company, Current is always focused on providing the highest levels of security for its customers. Google Cloud facilitates the use of encryption to help protect customer data at rest and in transit to help ensure that customer data is safe when outside the physical boundaries not controlled by Google or on behalf of Google.

For publicly accessible applications, Current configures an ingress resource on Kubernetes clusters to make context-aware load balancing decisions. This ingress also provides a reverse proxy function between users and Current's private network. This helps ensure that no external entity can reach Current’s Google Compute Engine instance fleet directly. Google Cloud also provides Current with the means to forward traffic outside of its private without exposing instances to the public Internet. This gives Current the means to utilize other managed services such MongoDB Atlas, while maintaining a trusted platform.

“Security is one of the biggest benefits of Google Cloud and Kubernetes Engine,” says Trevor. “It was easy for us to configure our environment so that we avoid exposing any public IP addresses for our clusters. When we deploy a new service, we have a recipe that observes security best practices.”

“Google Cloud has allowed us to be highly available, scalable, and cost-efficient, helping us grow from an ambitious startup into a financial technology innovator. We’ve built trust with the families we serve because we’ve been able to offer a great experience.”

Powering a digital workforce

When Current was founded in 2015, the company standardized on Google Workspace for communication and collaboration, using tools such as Gmail and Google Docs , Sheets , and Slides to keep productivity high. Google Workspace administration is so easy that Trevor still handles it all, in addition to leading the company’s tech strategy as CTO.

“Our business depends on Google Workspace,” he says. “It’s simple to use, yet feature-rich and very cost effective. Adding new employees takes a couple of minutes, and they can get to work right away. I can’t imagine using anything else.”

Shaping financial futures

By making it easy for teens and parents to manage and talk about money, Current is preparing a new generation to navigate one of the most challenging aspects of adulthood: financial responsibility. The company’s user base is growing by 20% every month with no signs of slowing, and its Android app just began trending on Google Play. Current is also learning to better manage its own finances. “By avoiding the cost of a hosted Neo4j solution and optimizing resource utilization with Kubernetes Engine, we reduced total cloud hosting costs by 60%," adds Trevor.

“Google Cloud has allowed us to be highly available, scalable, and cost-efficient, helping us grow from an ambitious startup into a financial technology innovator,” says Trevor. “We’ve built trust with the families we serve because we’ve been able to offer a great experience.”

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12 Latest Cloud Computing Research Topics

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Cloud Computing is gaining so much popularity an demand in the market. It is getting implemented in many organizations very fast.

One of the major barriers for the cloud is real and perceived lack of security. There are many Cloud Computing Research Topics ,  which can be further taken to get the fruitful output.

In this tutorial, we are going to discuss 12 latest Cloud Computing Research Topics. These Cloud computing topics will help in your researches, projects and assignments.

So, let’s start the Cloud Computing Research Topics.

List of Cloud Computing Research Topics

These Cloud Computing researches topics, help you to can eliminate many issues and provide a better environment. We can assoicate these issues with:

• Virtualizations infrastructure
• Software platform
• Identity management
• Access control

There is some important research direction in Cloud Security in areas such as trusted computing, privacy-preserving models, and information-centric security. These are the following Trending Cloud Computing Research Topics .

• Green Cloud Computing
• Edge Computing
• Cloud Cryptography
• Load Balancing
• Cloud Analytics
• Cloud Scalability
• Service Model
• Cloud Computing Platforms
• Mobile Cloud Computing
• Cloud Deployment Model
• Cloud Security

i. Green Cloud Computing

Green Cloud Computing is a broad topic, that makes virtualized data centres and servers to save energy. The IT services are utilizing so many resources and this leads to the shortage of resources.

Green Cloud Computing provides many solutions, which makes IT resources more energy efficient and reduces the operational cost. It can also take care of power management, virtualization , sustainability, and recycling the environment.

ii. Edge Computing

Although edge computing has several benefits, it is frequently combined with cloud computing to form a hybrid strategy. In this hybrid architecture, certain data processing and analytics take place at the edge, while more intense and extensive long-term data storage and analysis happen in the central cloud infrastructure. The edge-to-cloud continuum refers to this fusion of edge and cloud computing.

iii. Cloud Cryptography

Cloud cryptography is the practise of securing data and communications in cloud computing environments using cryptographic methods and protocols. Sensitive data is secured against unauthorised access and possible security breaches by encrypting it both in transit and at rest.

By allowing consumers to keep control of their data while entrusting it to cloud service providers, cloud cryptography protects the confidentiality, integrity, and authenticity of that data. Cloud cryptography improves the security posture of cloud-based apps and services, promoting trust and compliance with data privacy rules by using encryption methods and key management procedures.

iv. Load Balancing

Load Balancing is the distribution of the load over the servers so that the work can be easily done. Due to this, the workload demands can be distributed and managed. There are several advantages of load balancing and they are-

• Fewer chances of the server crash.
• Advanced security.
• Improvement in overall performance.

The load balancing techniques are easy to implement and less expensive. Moreover, the problem of sudden outages is diminished.

v. Cloud Analytics

Cloud analytics can become an interesting topic for researchers, as it has evolved from the diffusion of data analytics and cloud computing technologies . The Cloud analytics is beneficial for small as well as large organizations.

It has been observed that there is tremendous growth in the cloud analytics market. Moreover, it can be delivered through various models such as

• Community model

Analysis has a wide scope, as there are many segments to perform research. Some of the segments are  business intelligence tools , enterprise information management, analytics solutions, governance, risk and compliance, enterprise performance management, and complex event processing

vi. Scalability

Scalability can reach much advancement if proper research is done on it. Many limits can be reached and tasks such as workload in infrastructure can be maintained. It also has the ability to expand the existing infrastructure.

There are two types of scalability:

The applications have rooms to scale up and down, which eliminates the lack of resources that hamper the performance.

vii. Cloud Computing Platforms

Cloud Computing platforms include different applications run by organizations. It is a very vast platform and we can do many types of research within it. We can do research in two ways: individually or in an existing platform, some are-

• Amazon’s Elastic Compute Cloud
• IBM Computing
• Microsoft’s Azure
• Google’s AppEngine
• Salesforce.com

viii. Cloud Service Model

There are 3 cloud service models. They are:

• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Infrastructure as a Service (IaaS)

These are the vast topics for research and development as IaaS provides resources such as storage , virtual machines, and network to the users. The user further deploys and run software and applications. In software as a service , the software services are delivered to the customer.

The customer can provide various software services and can do research on it. PaaS also provides the services over the internet such as infrastructure and the customers can deploy over the existing infrastructure.

ix. Mobile Cloud Computing

In mobile cloud computing , the mobile is the console and storage and processing of the data takes outside of it. It is one of the leading Cloud Computing research topics.

The main advantage of Mobile Cloud Computing is that there is no costly hardware and it comes with extended battery life. The only disadvantage is that has low bandwidth and heterogeneity.

x. Big Data

Big data is the technology denotes the tremendous amount of data. This data is classified in 2 forms that are structured (organized data) and unstructured (unorganized).

Big data is characterized by three Vs which are:

• Volume – It refers to the amount of data which handled by technologies such as Hadoop.
• Variety –  It refers to the present format of data.
• Velocity – It means the speed of data (generation and transmission).

This can be used for research purpose and companies can use it to detect failures, costs, and issues. Big data along with Hadoop is one of the major topics for research.

xi. Cloud Deployment Model

Deployment model is one of the major Cloud Computing research topics, which includes models such as:

Public Cloud –  It is under the control of the third party. It has a benefit of pay-as-you-go.

Private Cloud – It is under a single organization and so it has few restrictions. We can use it for only single or a particular group of the organization.

Hybrid Cloud – The hybrid cloud comprises of two or more different models. Its architecture is complex to deploy.

Community Cloud

x. Cloud Security

Cloud Security is one of the most significant shifts in information technology. Its development brings revolution to the current business model. There is an open Gate when cloud computing as cloud security is becoming a new hot topic.

To build a strong secure cloud storage model and Tekken issues faced by the cloud one can postulate that cloud groups can find the issues, create a context-specific access model which limits data and preserve privacy.

In security research, there are three specific areas such as trusted computing, information-centric security, and privacy-preserving models.

Cloud Security protects the data from leakage, theft, disaster, and deletion. With the help of tokenization, VPNs, and firewalls, we can secure our data. Cloud Security is a vast topic and we can use it for more researches.

The number of organizations using cloud services is increasing. There are some security measures, which will help to implement the cloud security-

• Accessibility
• Confidentiality

So, this was all about Cloud Computing Research Topics. Hope you liked our explanation.

Hence, we can use Cloud Computing for remote processing of the application, outsourcing, and data giving quick momentum. The above Cloud Computing research topics can help a lot to provide various benefits to the customer and to make the cloud better.

With these cloud computing research, we can make this security more advanced. There are many high-level steps towards security assessment framework. This will provide many benefits in the future to cloud computing. Furthermore, if you have any query, feel free to ask in the comment section.

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Tags: big data Cloud Analytics Cloud Computing Platforms cloud computing research Cloud Computing Research Topics Cloud Computing Topics Cloud Cryptography Cloud Deployment Model Cloud Scalability Cloud Security Cloud Service Model Edge Computing Green Cloud Computing Load Balancing Mobile Cloud Computing Research Topics on Cloud Computing

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Dear, I wants to write a research paper on the cloud computing security, will also discuss the comparison of the present security shecks vs improvement suggested, I am thankful to you, as your paper helps me…

hay thanks for this valueable information dear i am just going to start my research in cloud computing from scratch i dnt now more about this field but i have to now work hard for this so plz give me idea how i start with effiecient manner

Hey Yaseen, Research is a great way to explore the entire topic. But it is recommended you master Cloud computing first, then start your research. Refer to our Free Cloud Computing Tutorial Series You can research on topics like Cloud Security, Optimization of resources, and Cloud cryptography.

Hi, Thank you for your article. I’m working on Cloud Computing Platforms research paper. Would you recommend any sources where I can get a real data or DB with numbers on cloud computing platforms. So, I can analyze it, create graphs, and draw a conclusion. Thank you

….or any sources with data on Cloud Service Models. Thank you

Can you please provide your contact details as I am also starting to research on Cloud Computing, Am a 11 years exp Consultant in an MNC working in Large Infrastructure. My email is partha.059@gmail .com so that we can communicate accordingly.

Can you please put some references you used, so that we can refer for more information? Thanks.

Hi, Very much pleased to know the latest topic for research. very informative, thanks for this i am interested in optimizing the resource here when i say resource it becomes too vast in terms of cloud computing components according to the definition of cloud computing. bit confused to hit the link.. could you plz.

hello iam searching for research gap in cloud computing I cant identify the problem please suggest me research topic on cloud computing

hello I am searching for research gap in cloud computing I cant identify the problem please suggest me research topic on cloud computing

we discuss optimization of resources, the gaps available

I want to do research in cloud databases,may i know the latest challenges in cloud databases?

I am a student of MS(computer science) and i am currently finding research topics in the area of cloud computing, Please let me know the topic of cloud computing and as well research gap so i will continue the research ahead with research gap.

Hi I am a student of MS(computer science) and i am currently finding research topics in the area of cloud computing, Please let me know the topic of cloud computing and as well research gap so I will continue the research.

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AWS Case Studies: Services and Benefits in 2024

Home Blog Cloud Computing AWS Case Studies: Services and Benefits in 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. AWS's computing power, storage, database management, and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. These include improved security, agility, worldwide reach, and lower infrastructure costs. With Amazon AWS educate program it helps businesses in various industries to increase growth, enhance workflow, and maintain their competitiveness in today's ever-changing digital landscape. So, let's discuss the AWS cloud migration case study   and its importance in getting a better understanding of the topic in detail.

What are AWS Case Studies, and Why are They Important?

The   AWS case   studies comprehensively explain how companies or organizations have used Amazon Web Services (AWS) to solve problems, boost productivity, and accomplish objectives. These studies provide real-life scenarios of Amazon Web Services (AWS) in operation, showcasing the wide range of sectors and use cases in which AWS can be successfully implemented. They offer vital lessons and inspiration for anyone considering or already using AWS by providing insights into the tactics, solutions, and best practices businesses use the AWS Cloud Engineer program . The Amazon ec2 case study   is crucial since it provides S's capabilities, assisting prospective clients in comprehending the valuable advantages and showcasing AWS's dependability, scalability, and affordability in fostering corporate innovation and expansion.

What are the Services Provided by AWS, and What are its Use Cases?

The   case study on AWS in Cloud Computing provided and its use cases mentioned:

Elastic Compute Cloud (EC2) Use Cases

Amazon Elastic Compute Cloud (EC2) enables you to quickly spin up virtual computers with no initial expenditure and no need for a significant hardware investment. Use the AWS admin console or automation scripts to provision new servers for testing and production environments promptly and shut them down when not in use.

AWS EC2 use cases consist of:

• With options for load balancing and auto-scaling, create a fault-tolerant architecture.
• Select EC2 accelerated computing instances if you require a lot of processing power and GPU capability for deep learning and machine learning.

Relational Database Service (RDS) Use Cases

Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities.

AWS RDS uses common cases, including:

• Without additional overhead or staff expenditures, a new database server can be deployed in minutes and significantly elevate dependability and uptime. It is the perfect fit for complex daily database requirements that are OLTP/transactional.
• RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS Workspaces

AWS offers Amazon Workspaces, a fully managed, persistent desktop virtualization service, to help remote workers and give businesses access to virtual desktops within the cloud. With it, users can access the data, apps, and resources they require from any supported device, anywhere, at any time.

AWS workspaces use cases

• IT can set up and manage access fast. With the web filter, you can allow outgoing traffic from a Workspace to reach your chosen internal sites.
• Some companies can work without physical offices and rely solely on SaaS apps. Thus, there is no on-premises infrastructure. They use cloud-based desktops via AWS Workspaces and other services in these situations.

AWS Case Studies

Now, we'll be discussing different case studies of AWS, which are mentioned below: -

Case Study - 1: Modern Web Application Platform with AWS

American Public Media, the programming section of Minnesota Public Radio, is one of the world's biggest producers and distributors of public television. To host their podcast, streaming music, and news websites on AWS, they worked to develop a proof of concept.

After reviewing an outdated active-passive disaster recovery plan, MPR decided to upgrade to a cloud infrastructure to modernize its apps and methodology. This infrastructure would need to be adaptable to changes within the technology powering their apps, scalable to accommodate their audience growth, and resilient to support their disaster recovery strategy.

MPR and AWS determined that MPR News and the public podcast websites should be hosted on the new infrastructure to show off AWS as a feasible choice. Furthermore, AWS must host multiple administrative apps to demonstrate its private cloud capabilities. These applications would be an image manager, a schedule editor, and a configuration manager.

To do this, AWS helped MPR set up an EKS Kubernetes cluster . The apps would be able to grow automatically according to workload and traffic due to the cluster. AWS and MPR developed Elasticsearch at Elastic.co and a MySQL instance in RDS to hold application data.

Business Benefits

Considerable cost savings were made possible by the upgraded infrastructure. Fewer servers would need to be acquired for these vital applications due to the decrease in hardware requirements. Additionally, switching to AWS made switching from Akamai CDN to CloudFront simple. This action reduced MPR's yearly expenses by thousands.

Case Study - 2: Platform Modernisation to Deploy to AWS

Foodsby was able to proceed with its expansion goals after receiving a $6 million investment in 2017, but it still needed to modernize its mobile and web applications. For a faster time to launch to AWS, they improved and enhanced their web, iOS, and Android applications.

Sunsetting technology put this project on a surged timeline. Selecting the mobile application platform required serious analysis and expert advice to establish consensus across internal stakeholders.

Improving the creation of front-end and back-end web apps that separated them into microservices to enable AWS hosting, maximizing scalability. Strengthening recommended full Native for iOS and Android and quickly creating and implementing that solution.

Case Study - 3: Cloud Platform with Kubernetes

SPS Commerce hired AWS to assist them with developing a more secure cloud platform, expanding their cloud deployment choices through Kubernetes, and educating their engineers on these advanced technologies.

SPS serves over 90,000 retail, distribution, grocery, and e-commerce businesses. However, to maintain its growth, SPS needs to remove obstacles to deploying new applications on AWS and other cloud providers in the future. They wanted a partner to teach their internal development team DevOps principles and reveal them to Kubernetes best practices, even though they knew Kubernetes would help them achieve this.

To speed up new project cycle times, decrease ramp-up times, and improve the team's Kubernetes proficiency, it assisted with developing a multi-team, Kubernetes-based platform with a uniform development method. The standards for development and deployment and assisted them in establishing the deployment pipeline.

Most teams can plug, play, and get code up and running quickly due to the streamlined deployment interface. SPS Commerce benefits from Kubernetes' flexibility and can avoid vendor lock-in, which they require to switch cloud providers.

Case Study - 4: Using Unified Payment Solutions to Simplify Government Services

The customer, who had a portfolio of firms within its authority, needed to improve experience to overcome the difficulty of combining many payment methods into a single, unified solution.

Due to the customers' varied acquisitions, the payment system landscape became fragmented, making it more difficult for clients to make payments throughout a range of platforms as well as technologies. Providing a streamlined payment experience could have been improved by this lack of coherence and standardization.

It started developing a single, cloud-based payment system that complies with the customers' microservices-based reference design. CRUD services were created after the user interface for client administration was set at the beginning of the project.

With this, the customer can streamline operations and increase efficiency by providing a smooth payment experience.

The new system demonstrated a tremendous improvement over the old capability, demonstrating the ability to handle thousands of transactions per second.

Maintaining system consistency and facilitating scalability and maintenance were made more accessible by aligning with the reference architecture.

Case Study - 5: Accelerated Data Migration to AWS

They selected improvements to create   an   AWS cloud migration case study cloud platform to safely transfer their data from a managed service provider to AWS during the early phases of a worldwide pandemic.

Early in 2020, COVID-19 was discovered, and telemedicine services were used to lessen the strain on hospital infrastructure. The number of telehealth web queries increased dramatically overnight, from 5,000 to 40,000 per minute. Through improvement, Zipnosis was able to change direction and reduce the duration of its AWS migration plan from six to three months. The AWS architecture case study includes HIPAA, SOC2, and HITRUST certification requirements. They also wanted to move their historic database smoothly across several web-facing applications while adhering to service level agreements (SLAs), which limited downtime.

Using Terraform and Elastic Kubernetes Service, the AWS platform creates a modern, infrastructure-as-code, HIPAA-compliant, and HITRUST-certified environment. With the help of serverless components, tools were developed to roll out an Application Envelope, enabling the creation of a HIPAA-compliant environment that could be activated quickly.

Currently, Zipnosis has internal platform management. Now that there is more flexibility, scaling up and down is more affordable and accessible. Their services are more marketable to potential clients because of their scalable, secure, and efficient infrastructure. Their use of modern technologies, such as Kubernetes on Amazon EKS, simplifies hiring top people. Zipnosis is in an excellent position to move forward.

Case Study - 6: Transforming Healthcare Staffing

The customer's outdated application presented difficulties. It was based on the outdated DBROCKET platform and needed an intuitive user interface, testing tools, and extensibility. Modernizing the application was improving the job and giving the customer an improved, scalable, and maintainable solution.

Although the customer's old application was crucial for predicting hospital staffing needs, maintenance, and improvements were challenging due to its reliance on the obscure DBROCKET platform. Hospitals lost money on inefficient staff scheduling due to the application's lack of responsiveness and a mobile-friendly interface.

Choosing Spring Boot and Groovy for back-end development to offer better maintainability and extensibility throughout the improved migration of the application from DBROCKET to a new technology stack. Unit tests were used to increase the reliability and standard of the code.

Efficiency at Catalis increased dramatically when the advanced document redaction technology was put in place. They were able to process papers at a significantly higher rate because the automated procedure cut down the time and effort needed for manual redaction.

Catalis cut infrastructure costs by utilizing serverless architecture and cloud-based services. They saved a significant amount of money because they were no longer required to upgrade and maintain on-premises servers.

The top-notch Knowledgehut best Cloud Computing courses that meet different demands and skill levels are available at KnowledgeHut. Through comprehensive curriculum, hands-on exercises, and expert-led instruction, attendees may learn about and gain practical experience with cloud platforms, including AWS, Azure, Google Cloud, and more. Professionals who complete these courses will be efficient to succeed in the quickly developing sector of cloud computing.

Finally,   a   case study of   AWS retail case studies offers a range of features and advantages. These studies show how firms in various industries use AWS for innovation and growth, from scalability to cost efficiency. AWS offers a robust infrastructure and a range of technologies to satisfy changing business needs, whether related to improving customer experiences with cloud-based solutions or streamlining processes using AI and machine learning. These case studies provide substantial proof of AWS's influence on digital transformation and the success of organizations.

Frequently Asked Questions (FAQs)

From the case study of Amazon web services, companies can learn how other businesses use AWS services to solve real-world problems, increase productivity, cut expenses, and innovate. For those looking to optimize their cloud strategy and operations, these case studies provide insightful information, optimal methodologies, and purpose. 

You can obtain case studies on AWS through the AWS website, which has a special section with a large selection of case studies from different industries. In addition, AWS releases updated case studies regularly via various marketing platforms and on its blog.

The case study of Amazon web services, which offers specific instances of how AWS services have been successfully applied in various settings, can significantly assist in the decision-making process for IT initiatives. Project planning and strategy can be informed by the insights, best practices, and possible solutions these case studies provide.

Kingson Jebaraj

Kingson Jebaraj is a highly respected technology professional, recognized as both a Microsoft Most Valuable Professional (MVP) and an Alibaba Most Valuable Professional. With a wealth of experience in cloud computing, Kingson has collaborated with renowned companies like Microsoft, Reliance Telco, Novartis, Pacific Controls UAE, Alibaba Cloud, and G42 UAE. He specializes in architecting innovative solutions using emerging technologies, including cloud and edge computing, digital transformation, IoT, and programming languages like C, C++, Python, and NLP. 

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Zero trust strategy: Cloud security by design

The benefits of a security-first approach to cloud.

5-MINUTE READ

Call for change

As we have seen in the last 18 months, cloud opens the door to organizational agility on an unprecedented scale. But security is essential to take advantage of cloud’s potential. Accenture, with our size, scale and complexity, has experienced first-hand the power of cloud security.

Six years ago, Accenture initiated the move into the cloud. While our recent research has identified that security and compliance risk is seen as one of top two pain points of cloud adoption, we were clear from the outset that cloud security would be a critical component to supporting our business needs.

Moving from on-premise infrastructure where we had complete control, to collaborating in the cloud with vendors and needing to rely on their technology and environment was a big shift. Infrastructure and new service capabilities in the cloud are different; we couldn’t simply translate what we had on-premise directly into the cloud.

We needed to reimagine the approach to implementing our security model to harness the capabilities of cloud native solutions. We evolved core security guiding principles to meet the requirements of operating in the cloud. We redefined our security rules to flex around the updated cloud-based infrastructure. When we look at our security approach we think beyond just infrastructure to an application, data and code level as well.

Today, Accenture IT infrastructure runs in the hybrid cloud and is costing significantly less than our legacy delivery models. Our strategy was to be secure from the start, reframing our security in terms of cloud capabilities, which has helped us to see how our cloud solutions can support every element of security needed within the business.

When tech meets human ingenuity

Early on in our cloud continuum journey, we recognized the need to evolve our security practices to accommodate our core security values for the cloud. We wanted to be powered by software-defined, securing our application and infrastructure code from the start. We infused analytics that were behavior-driven, using automated artificial intelligence (AI) behavioral analytics to identify anomalies faster and with more accuracy when working across our cloud platforms. It was important to us to be cloud agnostic, fit for a multi-cloud environment, so that the security framework and principles apply to any cloud vendor with auditability.

What’s more we embedded robust defense, relying on multiple layers of security at varying depths: cloud, network, access, data and endpoints. We centered our strategy on a zero-trust approach, protecting every aspect of the cloud security journey by treating everything as untrusted. With the focus on zero trust, we followed an identity-centric approach, basing all access on identity where every request is explicitly verified.

Five core functions contributed to a successful cloud security journey:

We shared responsibilities . As we increased our software as-a-service (SaaS) and platform as-a-service (PaaS) consumption in the cloud, we focused on and trusted in a shared responsibility model with our cloud vendors. By sharing the responsibility with our hyperscalers instead of owning the responsibility, we become inherently more secure. Our partnerships with Microsoft, Amazon and Google cloud services took advantage of their maturity in the market, their wide security certifications, and the fact that they value security as much as we do.

We sought out cloud-based solutions . Cloud providers are investing heavily in their innovation offerings and security. By using cloud native and cloud-based policies, controls, processes and technologies we were able to tap into an inherent agility and scale when it came to supporting our own cloud security.

We enabled compliance . Partnering with our providers, our cloud security strategy anchors to industry-recognized standards and continuously adapts to enterprise business needs. We adhere to industry defined policies, using alerts, following the zero-trust principle and managing security through code to maintain compliance. This ensures our services, users, workloads and data are secure on day zero and stay protected from the ever-changing threat landscape as well as auditable for third-party validation.

We increased visibility . We took a multi-layered approach, enhancing security through cloud vendors’ technology and advanced threat detection solutions. We gained visibility not only for our own actionable management, but also external auditability.

We baked in trust . We believe identity is the new firewall. Our identity-centric approach means we have adopted a zero-trust strategy in which we embed proper and continuous identity validation. Trust is now fundamentally going to be driven by identity and role.

A valuable difference

We have taken a comprehensive view across the various components of operating in the cloud to create a truly holistic cloud security strategy. As we implement this transformational approach to security across a multi-cloud infrastructure, we can continue to enforce highly effective security policies, resources and services. Here are some of our lessons learned around effective cloud security:

• Design in terms of the cloud: A Cloud Continuum journey requires a very different operating model to any on-premise solution. Reimagine your security principles in terms of the cloud, to unlock the power of security in the cloud and transform your business.
• Make the cultural shift: Bridge the cultural gap to cloud native services from the top down. Education and training can help to change mindsets so that people understand the benefits of cloud and why your security posture is important.
• Promote partnership: Any Cloud Continuum journey involves not only handing over a certain amount of control to third parties, but also inheriting the sophistication of the cloud solutions. It’s important to build trusted relationships with your providers and to look at the ownership of security as shared.

Going forward, to secure and manage access controls across a multi-cloud environment, we have our sights set on cross-platform alignment so that all identities align across all platforms and vendors. Using data as the key driver, our cloud security will continue to be comprehensive as our cloud capabilities grow across platforms. And we want to discover new solutions and augment our security with AI for threat detection and machine learning to remediate our code to prevent potential vulnerabilities. This combined with our Prevent, Protect, Detect, and Recover strategy can strengthen our zero-trust imperative.

internal cloud applications being accessed by 624,000 employees.

events our security analytics tools evaluate per day from our cloud providers.

native cloud security controls with automated prevention.

Related capabilities

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The 10 Most Important Cloud Trends For 2024

Tracy Woo , Principal Analyst

Lee Sustar , Principal Analyst

Forrester’s top 10 cloud trends for 2024 report is out. No one will be surprised that AI figures prominently. Yet there are other fundamental shifts in play — the rise of the intelligent edge, increased cloud compliance complexity, and (finally!) mature multicloud networking offerings.

Tracking these trends was a collective effort with all of my colleagues who cover cloud. Together we curated a list of the most important cloud topics that technology decision-makers should be aware of.

Cloud is the critical infrastructure backbone for enterprises in every industry and size globally, but its scope is expanding. The standard definition of cloud as basic infrastructure services from a major public cloud provider has widened to include edge with intelligent capabilities and generative AI (genAI)-augmented services that span from operations to application development. Cloud strategies are evolving as a result to address new concerns in governance, risk, and security, and face challenges in procurement and vendor management.

To give you a preview of our top 10 cloud trends, here are a few of Lee’s and my favorites:

• Trend 1: Alternative clouds go mainstream for AI and edge workloads. NVIDIA and AI-focused VCs have given a boost to AI cloud startups. To date, some of the biggest players have raised billions in funding with the big draw being their massive supply of GPUs. Even with this momentum, don’t expect the major public cloud providers to be displaced.
• Trend 5: VMware’s new business model drives migration to native public cloud services. The easy phase of lift-and-shift to VMware services on public cloud has passed. Enterprises are now migrating apps heavily integrated in on-prem infrastructure. Tech-savvy and motivated enterprises are leveraging big hardware company offerings such as storage APIs to completely decouple from legacy architecture.
• Trend 8: Edge environments take center stage. IoT and edge capabilities are getting a major overhaul as cloud providers encroach with distributed cloud offerings. Content delivery networks (CDNs) with expanded intelligent edge environments are also jumping in. The intersection of genAI and localized LLMs increases the draw for tech decision-makers.

If you want to learn more:

• Head to Forrester’s Technology & Innovation Summit in Austin, TX, where you’ll have a chance to meet with my colleagues, Lee, and me in person!
• Read the full report .
• Schedule an inquiry or guidance session with Lee and me or one of my coauthors.
• The Rise Of The AI Cloud
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• Map Out Your VMware Options, Post-Broadcom
• The Top Trends Shaping Cloud Security Posture Management (CSPM) In 2024
• The State Of Edge Intelligence, 2024: Part One
• The Future Of Cloud

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• Predictions 2025: Cloud Computing (publishing early October)
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3 Case studies demonstrate the power of modern enterprise content management

Customers in insurance, banking, and healthcare find benefits in replacing aging content management tools with modern systems..

From insurance to banking to healthcare, organizations of all stripes are upgrading their aging content management systems with modern, advanced systems that introduce new capabilities, flexibility, and cloud-based scalability. In this post, we’ll touch on three such case studies.

Global insurance company

A large insurance company adopted a cloud-based document management system to enable paperless operations around the world and simplify regulatory compliance. The organization had some tactical document management systems, but they were siloed and based on slow, outdated technology. Plus, all files were stored in U.S. data centers, creating obstacles for a globally dispersed user base.

After adopting Alfresco Content Services and Alfresco Governance Services running on Amazon Web Services (AWS), the insurer fully digitized its operations. The IT team worked closely with business users to build a solution “in which paper wasn’t part of the process,” the company’s SVP and CIO said.

The solution provides electronic file and records management capabilities that integrate seamlessly with the company’s core insurance applications, automating everything from document retrieval to records management . The solution is saving the company $21 million over five years thanks to massive reductions in paper, printing, and storage costs.

Large community bank

When a 28-branch community bank decided to sunset its document storage system, it needed a solution that would work with its cloud-based core banking system.

After identifying dozens of company requirements, the organization selected  OnBase  running on the Hyland Cloud. With support from Hyland Professional Services, the bank migrated 2.5 million documents, representing the past 15 years of business documents, to OnBase. Soon after, the bank added WorkView , Hyland’s low-code application builder, to create solutions and address new challenges with speed and agility.

“With WorkView, you can build workable solutions with almost no code at all. It’s enabled us like a force multiplier. We can accomplish so much with a small team,” said the bank’s enterprise process manager.

Among the benefits, the solution helped the bank’s lending department retire its manual, paper-based workflow in favor of more automated processing using OnBase workflows. The results have been significant: a mortgage loan process now takes less than 20 minutes to complete each day, down from two hours.

What’s more, during the COVID-19 pandemic, the bank was able to bring on remote, temporary workers to handle an onslaught of Paycheck Protection Program (PPP) applications.

“All the documents needed were visible in OnBase without relying on paper to complete the work,” said the bank’s senior vice president and director of operations and process improvements. “We couldn’t have managed the loan volume without OnBase in the cloud.”

Large pharmacy and healthcare firm

A large American retail pharmacy and healthcare company was looking to upgrade its aging knowledge management systems. Its executive leadership team directed the business to select a knowledge management platform with a modern, open-source approach that would reduce the company’s dependence on IBM, Oracle, and other proprietary solutions.

The company opted for Hyland’s  Nuxeo Platform , an open-source and highly scalable platform that enables the provider’s customer care representatives to quickly access their customers’ current coverage details. It also gives the company the flexibility to introduce new solutions in the future without worrying about being constrained by proprietary technology.

Ultimately, the healthcare firm used Nuxeo to replace two aging platforms:

• A mission-critical solution, previously based on IBM File Net, that’s used by more than 20,000 customer care agents to serve clients daily.
• A content management solution based on Oracle Stellent for managing policies, procedures, and other business content.

Now, the company is confident its agents will be up to date on the latest information they need to do their jobs effectively, from patient details to urgent notices about drug recalls.

“We’re confident the Nuxeo Platform will enable us to inform our reps ASAP,” said a healthcare company rep. “This is critical not only for our business, but also for the well-being of the millions of people who use [our] services.”

To learn more, visit Hyland .

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Forensic investigation, challenges, and issues of cloud data: a systematic literature review.

1. Introduction

2. background.

• Detecting cloud crimes related to data and activities conducted through cloud services, such as security breaches, electronic fraud, data theft, and espionage.
• Providing legal evidence that can be used in courts to help solve crimes.
• Maintaining cloud stability by identifying weaknesses in the cloud infrastructure to prevent future attacks.
• Supporting international legal investigations by analyzing cloud user data and tracking illicit activities online.

2.1. Overview of Cloud Computing

2.1.1. cloud deployment models.

• Public Cloud: This is considered the most common of the deployment models because it is accessible to the general public, as its name implies, and available to everyone. In other words, companies lease resources to users based on their needs only, on a pay-as-you-go principle. Some offer free services but with limitations. There is a demand for them because they do not require maintenance or hardware changes on the part of the client [ 15 ].
• Private Cloud: We are not differentiating in the cloud infrastructure as all models are similar, and the technical structure of the private cloud is similar to the public cloud. However, the main difference lies in cloud ownership as it falls under the control of the company owner only. Maintenance and setup are carried out in a dedicated location belonging to the owning company. However, it is considered better in terms of security as it achieves high-level access authorization management. Only authorized personnel designated by the company are allowed access to the stored resources [ 16 ].
• Hybrid Cloud: This is considered a blend of the benefits of both public and private clouds, with high-quality management and protection policies applied. It provides a fundamental level of security and substantial resources. The hybrid cloud operates on the principle of segmentation, where there is a portion for protecting sensitive information from loss or damage and another portion for public deployment and general use. This cloud is typically owned by the company owner who leases it [ 16 ].

2.1.2. Cloud Service Models

• Ease of access and use by customers.
• Automatic updates are performed by the service provider.
• Customers are not restricted to a specific type of device to access the service.
• Cost savings for the client, as they pay a monthly subscription instead of purchasing the service.
• It is highly suitable for developers as it promotes a collaborative environment among them.
• It relieves developers from the burden of updates by means of an automatic system and software updates.
• It offers responsiveness and seamless integration with other cloud services.
• It allows resource consumption to be tailored to the specific needs of each client or developer.
• Scalable Resource Provisioning: Instead of purchasing resources, this model offers resource expansion based on the company’s needs. Resources are provided as a service in exchange for a monthly subscription.
• High-Level Security and Data Protection: This enhances client information and data with a high level of security and protection.
• Deployment Flexibility: This type of cloud service makes it possible to deploy in the region desired by the client, as providers typically own data centers in various regions.

2.2. Digital Forensics

2.3. cloud forensic analysis assists in conducting cloud forensic investigations, 2.4. cloud forensics.

• Gathering information from cloud service providers.
• Auditing activities that occurred within the cloud.
• Obtaining evidence related to unauthorized access or any breaches.
• Analyzing all the aforementioned points to identify suspects.
• Investigating and obtaining the outcome.

2.4.1. The Impact on Forensic Strategies

• Impact of the Cloud Deployment Models. Utilization of the public cloud involves the sharing of resources among numerous tenants, creating challenges in effectively segregating forensics data without impacting others. It is important to include forensic strategies to separate each tenant accurately. The legal agreement with cloud service providers plays a crucial role in ensuring access to forensics data [ 20 ]. The private cloud offers a high level of control and customization, but this comes at a significant cost and results in management complexity. The organization must ensure robust security measures and implement effective forensic strategies. These strategies should have the most control over the infrastructure to enforce various policies. Consequently, the organization can develop and deploy specialized tools and protocols within the private cloud for forensic purposes [ 21 ]. Integrating both private and public cloud services into the hybrid cloud may lead to challenges in conducting forensic investigations due to varying levels of control over data and infrastructure. Investigators must navigate through different policies and forensic tools utilized across the data sources [ 20 ]. The community cloud facilitates data sharing between organizations with similar interests and simplifies forensic efforts through standardized policies and procedures. The nature of the infrastructure presents similar challenges to those encountered in public cloud environments when separating data [ 20 ].
• Impact of Service Models. Investigators in the IaaS models have access to resources at a lower level, such as virtual machines and storage systems. This simplifies detailed forensic analysis, but requires a deep understanding of the virtual environment and the ability to manage and analyze a vast amount of data [ 20 ]. In the PaaS models, most of the infrastructure is abstracted, making it difficult to access primary data for forensic purposes. Investigators must collaborate closely with cloud service providers to obtain the required logs and other evidence, potentially causing delays in the investigation [ 20 ]. The SaaS model presents a significant challenge for the forensic field, with a high level of obfuscation and limited visibility into the infrastructure. Service providers control access to forensic data, leading to legal procedures to obtain the necessary evidence [ 20 ].

2.4.2. Challenges in Cloud Forensics

2.5. need for cloud forensics, 2.5.1. cases requiring cloud analysis, 2.5.2. the need for cloud forensic investigation arises from several factors, 2.6. cloud security concerns, 2.7. process of cloud forensics, 2.8. valuable practical and innovative perspectives of cloud forensics, 2.9. discussion, 3. methodology, 4. related works, literature reviews, 5. findings and insights, 5.1. challenges in cloud forensics.

• Technical Issues Cloud computing presents various technical challenges when it comes to preserving digital evidence, one of which involves safeguarding the evidence against any unauthorized modifications.
• Legal Issues The issue at hand pertains to privacy, which poses a significant obstacle for investigators. Consequently, investigators must meticulously and lawfully store the data they have collected.
• Resource Issues Conducting investigations in a cloud environment presents a range of challenges for investigators, including limitations that impact various aspects of digital forensics.

5.2. Techniques That Are Used to Solve the Challenges

6. comparison of systematic literature review with another paper, 7. conclusions, 8. future works.

• Addressing security vulnerabilities: Given the constantly evolving nature of cybersecurity threats, future research could concentrate on identifying and mitigating security vulnerabilities in cloud environments. This could involve developing strategies to detect and prevent insider attacks, data breaches, and other security incidents that may impact forensic investigations.
• Improving forensic analysis techniques: Research efforts could be directed towards enhancing forensic analysis techniques to overcome the unique challenges posed by cloud environments. This could involve exploring advanced methods for data recovery, memory forensics, and network traffic analysis techniques that are specifically optimized for cloud-based data.
• Promoting collaboration and knowledge sharing: Encouraging collaboration and knowledge sharing among researchers, practitioners, law enforcement agencies, and cloud service providers is crucial for advancing the field of cloud forensics. Future research could explore mechanisms for facilitating collaboration, such as establishing interdisciplinary research networks, organizing workshops and conferences, and creating repositories of best practices and case studies.
• Implement comprehensive logging and monitoring: It is important to verify that all cloud services have been set up to produce comprehensive logs and to consistently review and analyze these logs.
• Data preservation and collection: Create uniform protocols for safeguarding and gathering digital evidence within cloud settings to guarantee the reliability and acceptability of information.
• Ensure forensic readiness: Get ready for possible forensic investigations by integrating forensic readiness into the corporate culture and cloud deployment plan.

Data Availability Statement

Acknowledgments, conflicts of interest.

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Alshabibi, M.M.; Bu dookhi, A.K.; Hafizur Rahman, M.M. Forensic Investigation, Challenges, and Issues of Cloud Data: A Systematic Literature Review. Computers 2024 , 13 , 213. https://doi.org/10.3390/computers13080213

Alshabibi MM, Bu dookhi AK, Hafizur Rahman MM. Forensic Investigation, Challenges, and Issues of Cloud Data: A Systematic Literature Review. Computers . 2024; 13(8):213. https://doi.org/10.3390/computers13080213

Alshabibi, Munirah Maher, Alanood Khaled Bu dookhi, and M. M. Hafizur Rahman. 2024. "Forensic Investigation, Challenges, and Issues of Cloud Data: A Systematic Literature Review" Computers 13, no. 8: 213. https://doi.org/10.3390/computers13080213

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