cloud case studies

Airline evolves customer experience with IBM public cloud platform and services.

UBank shrinks time to market — builds a loan app virtual assistant on IBM Cloud platform.

Eurobits helps banks give trusted third-parties access to account information.

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The American Association of Insurance Services partnered with IBM to create an open blockchain network that streamlines regulatory reporting. The network provides new insights for insurers, while also enhancing timeliness, accuracy and value for regulators.

With IBM Cloud bare metal server infrastructure hosted worldwide and the Veeam on IBM Cloud backup and restore service, Movius provides its multiline offering to enterprises around the globe.

Together, IBM and Vodafone Business will help companies remove the complexity and barriers from their technology choices and ensure data and applications flow freely and securely across their organizations. Under the new venture, Vodafone Business customers will immediately have access to the full portfolio of IBM Cloud offerings, underpinned by IBM's deep industry expertise and open technologies.

To transform its service desk operations, banking group Creval deployed a virtual assistant, powered by IBM Watson technology, that reduced service desk calls by 80 percent and allowed staff to focus on high-value tasks that drive customer service excellence.

To help ensure clients can access the latest pricing and execute trades rapidly and accurately, online broker ActivTrades migrated its primary trading platforms from on-premises infrastructure to IBM Cloud for VMware solutions.

Allianz wanted a mobile assistant solution that worked across platforms to better serve customers. Using IBM Cloud and IBM Watson Assistant, the company created an AI-powered virtual assistant that can field 80 percent of its most frequent customer requests — for real help in real time.

IBM is helping American Airlines migrate some of its critical applications to the IBM Cloud while using new methodology to create innovative applications quickly and improve the customer experience.

To help its clients focus on strategic activities rather than low-value tasks, Contextor teamed up with IBM to augment its robotic process automation solutions with artificial intelligence capabilities.

To help state healthcare agencies address new regulations, Deloitte teamed with IBM to develop the Medicaid Enterprise Solution (MES) HealthInteractive Platform, running on IBM Cloud technology. With MES, state Medicaid programs can keep IT up to date with less effort and expense, while also aligning with federal guidance.

A Japanese airline has become the first among its competitors to develop a web-based chatbot proof of concept, generating real dialogs with 90 percent of users and confirming the company’s vision for broader cognitive applications with IBM Watson Assistant (formerly IBM Watson Conversation) and Watson Natural Language Classifier services.

Active International used the IBM Cloud to develop applications that optimize its media buying cycle and help it identify new business prospects more effectively.

Anthem partnered with IBM to drive its digital transformation and deliver an enhanced digital experience for its nearly 40 million consumers.

Assima helps employees work smarter by arming them with an intelligent application overlay hosted in the IBM Cloud and delivering AI capabilities with IBM Watson technology.

To help small and midsized businesses with liquidity management and planning, Asteria created a smart cashflow service running on scalable IBM Cloud infrastructure. With its IBM Cloud solution, the company can work in a flexible, open-source development framework while also addressing customer needs for security-rich data hosting.

Buzz Radar created a platform called the Cognitive Command Center — a digital marketing monitoring, analytics and visualization platform that harnesses IBM Watson technologies and runs in the IBM Cloud.

After working with IBM to build a cloud data warehouse and analytics architecture, Constance Hotels, Resorts & Golf can now gain data-driven insights from across its nine properties.

Building on a long track record of service innovation, ExxonMobil engaged an IBM iX team to help design and launch ExxonMobilRewards+, the industry’s first smartphone app for digital payment at the pump. The solution’s IBM Cloud public hosting platform reduces operating costs for the app by 40 percent and scales effortlessly as its user base continues to grow.

LogDNA saw a clear need to address data sprawl in the modern, cloud-native development stack. Its innovative software-as-a-service (SaaS) platform built on Kubernetes caught the attention of the IBM Cloud team, which wove it into its global framework. As both an IBM Business Partner and a client, LogDNA was able to grow and strengthen its DevOps capabilities.

Ricoh migrated its Unified Communication System operations to IBM Cloud bare metal servers, taking advantage of near-limitless scalability and capacity. This allowed the company to ensure smooth sound and vision for its rapidly expanding customer base.

UBank launched new initiatives in an IBM Cloud Platform environment, including a virtual assistant that incorporates IBM Watson technology to support the bank’s online home loan application.

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Explore OCI in depth with technical case studies

Oracle’s technical case studies dive deeper into real-world customer deployments. Discover how OCI is helping customers successfully deliver 24/7 operations using geographically distributed architectures, elastic scaling, and optimally secure applications. OCI engineering works with customers to move from idea to execution rapidly, defining the implementation path, and introducing techniques and best practices to accelerate customer deployment.

Featured OCI technical case studies

PRIO Energy is an electric energy provider. Looking to modernize its ERP system, PRIO turned to Oracle for its cloud-based automation platform. PRIO leveraged OCI Application Integration to deliver a multicloud application network solution that connected fueling stations with its ERP system. As a result, PRIO provided visibility into all transactions and offered a secure way to manage its multicloud integrations.

3i-Infotech, a Mumbai-based IT company, needed a reliable cloud partner to help bring its virtual desktop platform to market. 3i-Infotech selected OCI for its ability to provide low latency, high availability, and robust security. With its platform on OCI, 3i-Infotech’s customers can share files safely, use any device on any network, and disseminate information using secure edge devices.

Star CRM is a Singapore-based provider of CRM software. The company previously hosted its CRM solutions on AWS, but faced challenges around database management, performance, and licensing complexity. After migrating its systems to OCI, Star CRM reports 40% productivity gains, 30% overall cost reductions, and 50% savings on licensing costs.

See OCI case studies

Technical case studies highlight the customer’s goals and the breadth and depth of their technical solution on OCI. Each technical case study features all applicable OCI products used, the customer’s cloud migration path, OCI solution architecture, and the results of their cloud transformation.

• Oracle Red Bull Racing
• The University of Melbourne
• Forth Smart
• Takamol Holding
• APL Logistics
• Integra LifeSciences

Oracle Red Bull Racing runs more than 1 billion race strategy simulations on OCI

The UK-based Formula One team needed a platform that could simulate billions of potential outcomes related to variables, such as weather conditions, pit stop times, and race crashes. During 2021, Oracle Red Bull Racing migrated their strategy systems from their preexisting infrastructure to OCI.

• Oracle Container Engine for Kubernetes
• High performance computing (HPC)
• Increased the number of simulations by 25%
• Improved the accuracy and speed of their predictions
• Accelerated simulation processing speeds by containerizing their simulation application
• Reduced overall infrastructure costs

The team’s 2022 season will further expand the use of OCI across its most significant area of operation including analytics-based race strategy and improving fan engagement.

IFFCO modernizes its IT estate with OCI, helping shape the future of agriculture in India

Indian Farmers Fertiliser Cooperative Ltd. (IFFCO) is the world’s largest manufacturer and marketer of fertilizers in the cooperative sector. IFFCO has worked with Oracle for more than two decades on their business-critical applications and databases. Most recently, IFFCO needed all of its systems, consisting of more than 100 applications, to be highly available. IFFCO partnered with Oracle to modernize their IT estate and provide maximized technological benefits to all stakeholders.

• OCI Compute
• Oracle Exadata Cloud service
• Oracle E-Business Suite (EBS)
• Custom applications on OCI
• Oracle Digital Assistant
• OCI Load Balancing
• OCI Web Application Firewall (WAF)
• OCI FastConnect
• A completed migration in 57 hours for Oracle E-Business Suite and 33 hours for custom applications
• Improved overall performance by 7X
• Better IT management
• Enhanced security
• Automated scaling for workloads during peak and off-peak seasons

As IFFCO aims to shape the future of the Indian agriculture industry, Oracle technology remains at the forefront of its roadmap.

University of Melbourne deploys Arm-based containers for fog computing

The University of Melbourne is a public research university located in Melbourne, Australia. Its researchers needed to build its open source framework on a platform that’s multicloud, widely available, and secure. After moving its FogBus2 platform onto OCI, the university’s computer science researchers throughout Australia are able to capture, analyze, and make predictions from Internet of Things (IoT) data.

• Identity and Access Management (IAM)
• Virtual cloud networks (VCNs) and subnets
• Security lists
• Virtual machines (VMs)
• OCI Bastion
• Autonomous Data Warehouse
• Oracle Machine Learning
• Increased performance and response times in applications by 20%
• Increased service startup time by 15% compared to other architectures
• Improved developer productivity due to data warehouse automation
• Improved scalability of CPU storage needed for IoT workloads

In the future, the university plans on leveraging OCI to improve the functionality of its FogBus2 platform by integrating container-orchestration techniques to automate management, along with other enhancements.

OCI and Maplesoft partnership creates digital twin virtual environment for modernized, real-time asset monitoring

Maplesoft is a leading provider of advanced modeling and calculation solutions for engineering, science, and mathematics. One of the company’s primary products is MapleSim, a flexible, multidomain platform that enables designers to create a virtual prototype. Looking to improve scalability and performance, Maplesoft saw an opportunity to work with OCI as a cloud partner to add capabilities to the simulations when applied to a fleet. By partnering with OCI, Maplesoft can extend the use of its MapleSim machine-level digital models to create digital twins that can scale up to represent a fleet of assets.

• OCI Object Storage
• OCI Streaming
• OCI Functions
• OCI Notifications
• OCI Anomaly Detection
• Ability to build a physics-based simulation of complex assets using MapleSim and to use that model during asset monitoring
• Ability to detect anomalies in real time (less than 0.2 seconds), allowing corrective action to be quickly determined with MapleSim
• Fast restoration of optimal business performance with OCI Anomaly Detection
• Improved scalability and latency for digital twin deployment

By partnering with OCI, Maplesoft is helping its customers better predict potential disruptions and optimize operational costs.

Thai conglomerate Forth Smart uses OCI, Autonomous Database, and Oracle Analytics to increase ad conversion rates by 3X

Forth Smart is a Thai service provider specializing in a wide range of financial payment services. Needing to automate manual processes, Forth Smart was looking for a cloud provider that offered IaaS, analytics, and machine learning. After evaluating other providers, the company chose Oracle Autonomous Data Warehouse, running on OCI without a database administrator. By partnering with OCI, Forth Smart was able to retrieve data in real time, reduce manual database administration, and easily create reports and data visualizations. Forth Smart leveraged the following services:

• Oracle Analytics
• Oracle GoldenGate
• Reduced the average query time from 3 hours to 2 minutes
• Improved its customer advertisement conversion rates by 3X
• Reduced its IT and database administration costs
• Gained access to real-time analytics for its more than 120,000 kiosk network

In the future, Forth Smart plans on leveraging Oracle’s more than 40 global cloud regions to move existing workloads from Ashburn to Singapore.

Takamol Holding adopts OCI and Oracle Kubernetes to boost innovation in Saudi Arabia, delivering high performance egovernment services with dynamic scalability

Takamol Holding is a Saudi Arabia-based government company that aims to serve various labor markets. Having previously used the cloud to manage and deliver workloads, the company needed to quickly find a managed provider that uses Kubernetes, while avoiding vendor lock-in. By leveraging OCI’s many managed services and features, Takamol Holding built out four core applications that streamlined the deployment of its egovernment services.

• Oracle Container Engine for Kubernetes (OKE)
• OCI Registry (OCIR)
• Network Load Balancer
• OCI Block Storage
• Oracle Database
• Oracle MySQL Database service
• Oracle Database Vault
• Improved the availability of services, reduced operations, and ensured fast disaster recovery
• Accelerated time to deploy IT infrastructure through the infrastructure-as-code (IaC) model
• Reduced the time it took to launch an egovernment service from a day to less than an hour
• Saved hours of maintenance work

In addition, Takamol has been able to meet the data residency and security requirements of the Saudi Arabian government.

APL Logistics modernizes with OCI, cutting costs and improving time to market

APL Logistics Ltd. (APLL) is a Japan-based freight forwarding and transportation company. To ensure business continuity in tandem with accelerating digitization, APLL turned to Oracle to help reinvent the user experience of a legacy online quotation application. The company was looking to automate processes, add self-service capabilities for customers and administrators, and improve overall cost effectiveness.

• Autonomous Transaction Processing (ATP)
• Oracle Cloud Infrastructure (OCI)
• Oracle Integration Cloud
• Significantly decreased time to market for its self-service quoting application
• Went from project to launch within three months
• Enabled the application team and engineers to focus more on business logic and innovation
• Secured proprietary information and boosted digital transformation efforts

In the future, APLL plans to migrate additional workloads, such as its chatbot service for shipments, payment enquiries, and incident reporting, to OCI.

Now Optics taps Oracle’s artificial intelligence services for insights that improve customer experience

Now Optics is a leading eyeglass retailer that markets in more than 20 states. With business growing, the company had accumulated a large volume of data, but had no tangible way to use that data to optimize the business and expand into new offerings. Now Optics turned to OCI to improve their customer engagement and experience. Now the company can identify the top issues that their customers feel strongly about and use that data for actionable insights.

• Oracle Artificial Intelligence (AI)
• OCI Language
• OCI Data Integration
• Automated the processing of customer feedback
• Improved business efficiency and reduced costs
• Increased customer satisfaction
• Converted unstructured textual context to structured context

Now Optics plans to further use OCI to flag various eye diseases such as glaucoma, diabetes, and cancer by only using pictures of the retina and eye.

SailGP processes 240K data points per second on OCI

SailGP is an international sailing league in which teams compete by sailing high-performance F50 catamarans around the world. With cloud technology in mind, SailGP wanted a provider that could help them better process data in real time to create better analytics and competitive advantages. SailGP’s main goal was to optimize both performance and fan experience. To achieve these goals, SailGP leveraged Oracle Cloud Infrastructure Streaming and Oracle Stream Analytics to process, analyze, and stream data during each race using sophisticated correlation patterns, data enrichment, and machine learning. SailGP enhanced their analytics with the following OCI services:

• Oracle Stream Analytics
• Oracle Autonomous Data Warehouse
• Oracle Cloud Infrastructure Object Storage
• Oracle Identity and Access Management
• Oracle Cloud Guard
• Oracle Cloud Infrastructure GoldenGate
• Analyze more than 240,000 data points collected from 800 sensors in seconds
• Transfer data from boats to Oracle Autonomous Data Warehouse at an average batch size of 20,000 messages, sent every 500 milliseconds
• Enhance the SailGP app by providing racing metrics in real time to crews and fans worldwide
• Detect anomalies and proactively manage the boat’s moving parts

In the future, SailGP plans to use OCI services such as AI and Oracle APEX to further enhance their customer experience and analytics capabilities.

CMRI uses Oracle AI to help cure children’s cancer, improves efficiency by 50%

Children’s Medical Research Institute (CMRI) is a premier Australian medical research institute and charity. With researchers collaborating across locations, CMRI knew it was time to change the way it historically managed data pipelines. The institute wanted to optimize its processes to improve performance, facilitate seamless collaboration, and get the most out of its data.

• OCI Data Science
• Reduce numerical simulation time from 30 days to 5 days
• Become 50% more efficient with resources
• Save approximately 30% in costs
• Encrypt all data and address key storage workload requirements

Due to its success with OCI, CRMI intends to use OCI Vision and OCI Data Labeling to automate workflows around bounding cells.

• Gadget Software
• Mutual Materials

Cloud native and DevSecOps at scale with Capgemini and Oracle Cloud

Capgemini has been an Oracle Platinum Partner for over two decades, helping customers with projects such as critical migrations and implementations. When a customer approached Capgemini with aging legacy systems, business change requirements, and strict deadlines enforced by a government directive (PSD2), Capgemini turned to Oracle Cloud. Capgemini delivered a rapidly developed, cloud native platform using these products:

• Oracle Identity
• Oracle API Manager
• Oracle Cloud Infrastructure Registry
• Achieved design to launch in 6 months
• Scaled its testing to 200% of expected maximum user concurrency
• Measured a response time averaging 77ms
• Delivered the PSD2 portal and PSD2 APIs on time and launched the debt register API a week ahead of schedule

The platform serves 300,000 API requests per day.

Gadget Software moves cloud native platform from AWS to OCI, increasing developer efficiency

Gadget Software offers a software-as-a-service (SaaS) platform for manufacturers to provide an optimized self-service support solution. The company's AI transforms instructions into intuitive, easy-to-follow information. With several gaps in their previous AWS environment, Gadget Software needed a cloud provider that offered speed, agility, high availability, and automation of manual processes. As a result, Gadget Software migrated their three core technologies to OCI to reduce costs, free up DevOps resources, and improve scalability.

• Oracle bare metal shapes
• OCI virtual cloud network
• Internet gateway
• NAT gateway
• OCI Logging
• OCI Auditing
• Enabled its development team to focus on high-value activities
• Automated management scripts for relational databases
• Reduced capital and operating costs
• Scaling on demand by expanding its compute as needed

With OCI’s capabilities and engineering guidance, Gadget Software is well-equipped to meet the needs of its customers.

HNI modernizes its technology stack with OCI and Flexagon

HNI is a leading manufacturer of workplace furnishings. Like other manufacturers, HNI has faced challenges such as increased demand volatility, rising supply chain costs, and customers that expect instant delivery. To better serve their customers and increase efficiency, HNI utilized an array of OCI services and FlexDeploy, a DevOps platform from Flexagon for end-to-end software development and delivery.

• Flexagon FlexDeploy
• Oracle E-Business Suite
• Oracle Integration Cloud (OIC)
• Oracle Identity and Access Management (IAM)
• Achieved a 50% reduction in development costs
• Improved project delivery time by 50%, improving its time to market
• Reduced deployment time by 60X
• Increased developer productivity by 90%
• Reduced deployment-related errors by 98% and decreased support by 2 hours a night

HNI improved agility and efficiency by using cloud technologies from Oracle and Flexagon.

kompany delivers regulatory solutions 3X faster with OCI’s modern lakehouse

kompany enables their clients to automate and transform anti–money laundering compliance into competitive advantages. Their IT team was looking for an easy-to-use, next-generation data lakehouse to automate process flows for data ingestion from a wide range of sources quickly and efficiently. To achieve their cloud migration goals, kompany implemented a cloud native solution on OCI. Their IT team can now load any type of data from a wide range of sources, store it in their data warehouse or data lake, and leverage easy-to-use automation to transform, visualize, and analyze it using a single source of truth.

• Oracle Cloud Infrastructure Data Integration
• Oracle Analytics Cloud
• Reduced costs by 70%
• Achieved a 2X return on investment in 12 months
• Delivered new analytics 3X faster
• Automated their data pipeline without coding

Based on their success running their platform on OCI, kompany plans to triple the number of users by the end of the year and expand usage to seven other departments.

MESTEC launches robust multicloud strategy with Oracle Cloud and Microsoft Azure Interconnect

MESTEC is the world's first cloud-based SaaS manufacturing solution provider. They offer manufacturing execution system and advanced planning and scheduling software to manufacturers looking to improve efficiencies in critical aspects of the manufacturing lifecycle. The company deployed a multicloud strategy, leveraging solutions from Oracle and Microsoft. They rely on Oracle Autonomous Transaction Processing database connected to an Azure front end through the Oracle Interconnect for Microsoft Azure to deliver solutions that boost overall manufacturing processes without customization and typical up-front costs.

• Oracle Autonomous Transaction Processing
• Oracle Data Guard
• Oracle Cloud and Microsoft Azure Interconnect
• Oracle Cloud Infrastructure FastConnect
• Site-to-Site VPN
• OCI Dynamic Routing Gateway (DRG)
• Reduced labor and infrastructure costs by half compared to its on-premises environment
• Ran manufacturing workloads up to 600% faster with half as many CPUs
• Achieved a more secure and 100% compliant environment
• Implemented a diverse set of manufacturing environments quickly and reliably
• Committed higher-availability SLAs to its customers

With OCI, MESTEC optimized their manufacturing lifecycle and scaled to new infrastructure resources rapidly.

Mutual Materials uses OCI to meet a 30% increase in demand

Mutual Materials is a manufacturer of building bricks, blocks, pavers, and stone slabs. Now the largest supplier of masonry and hardscape products in the Pacific Northwest, Mutual Materials has facilities in Oregon, Washington, and British Columbia. As the demand in hardscape sales skyrocketed, the company needed a faster and more reliable way to process orders, increase production, and ship their finished products to customers. To scale their infrastructure to meet increased demand, Mutual Materials partnered with Doyensys to migrate to OCI. This partnership enabled a rapid lift and shift of legacy systems to the cloud and the implementation of a scalable IT solution.

• OCI virtual machines
• Virtual cloud networks (VCNs)
• OCI Block Volumes
• Oracle Customer Experience (CX)
• Saw an immediate 15% to 20% boost in application speed
• Increased year-over-year sales by nearly 20%
• Experienced zero downtime despite a 30% jump in orders
• Improved operational efficiencies to help drive up average order sizes

Overall, Mutual Materials saw improved productivity, reduced costs, and unconstrained scalability.

Mynet delivers exceptional mobile gaming experience with OCI, cuts costs by 80%

Mynet offers mobile game services by acquiring an existing game title, then redesigning and repackaging it to reach a broader audience. This business model enhances Mynet’s overall profitability and revenue. The company migrated to OCI for superior performance at a lower price and reduced overall costs by about 80%. As part of their multicloud strategy, Mynet also uses services from other cloud providers depending on game characteristics.

• OCI File Storage
• OCI Flexible Load Balancer
• Outbound OCI Data Transfer
• Oracle Cloud Infrastructure Health Checks
• Oracle Cloud Infrastructure Email Delivery
• Oracle Cloud Functions
• OCI Internet Gateway
• About 80% reduced infrastructure cost
• Cost savings of over $1M in twelve months
• 6X improved processing time for a title—from about an hour to just 10 minutes
• Specific game titles running automatically and at scale without human intervention
• A unified view of cloud security posture across OCI tenancy

By deploying its mobile gaming experience on OCI, Mynet achieved notable improvements in overall game performance.

retraced deploys sustainability platform on OCI blockchain, improves sales by 400%

retraced is a leading sustainability management platform provider based out of Germany. The company enables their customers to ensure that they’re only using materials that have been manufactured using certifiably sustainable production methods. To build their cloud native platform, retraced wanted a technology environment that offered simplicity in operations, autonomous and managed services, and significant cost savings. After evaluating multiple cloud providers, retraced chose to run their platform on OCI.

• Oracle Blockchain Platform
• Oracle Autonomous JSON Database
• Autonomous Transaction Processing
• Oracle Cloud Infrastructure Compute
• OCI Storage
• Achieved 400% growth in sales
• Increased traffic by 750% in 2021
• Went from project start to launch in less than 12 months

With the use of blockchain on OCI, retraced has been able to track sustainability information more accurately, which in turn has helped the company build trust with current and future clients.

UniQreate scales intelligent data extraction product on OCI and saves 20% monthly

UniQreate is a leading data extraction automation company. UniQreate helps customers gain insights from their unstructured data by utilizing AI learning systems, intelligent workflows, and web-enabled interfaces. With their platform, UniQreate helps business users manage their data needs with the most-efficient workflows and the least-intrusive interactions. Needing stronger compute power and more block storage, UniQreate migrated to OCI for higher performance at a lower price, and reduced overall monthly costs by 20%.

• OCI Bare Metal Compute
• Oracle Virtual Cloud Network
• Oracle MySQL Database Service
• 20% monthly savings in infrastructure cost
• Easily scaled the volume and variety of different use cases with ease
• Migrated the entire setup to OCI in four days
• Provided maximum availability and uptime
• Efficiently maintained separate environments in the same region, helping maintain higher control

By migrating to OCI, UniQreate was able to achieve a cost-efficient, seamless, and robust infrastructure for its massive amounts of data extraction.

ETC achieves 300% performance improvement and increased efficiency after migrating to OCI

ETC is a leading intelligent transportation systems and smart mobility provider in the United States. ETC’s riteSuite provides a full range of tolling and mobility functions, from roadside data collection to back-end processing and payments. For their cloud migration project, the company wanted to reduce time to market, improve infrastructure provisioning, and reduce database maintenance by switching to a model that uses infrastructure as a service (IaaS).

• Exadata Cloud Service
• Block Storage
• Object Storage
• Data Transfer Appliance
• Dynamic Routing Gateway (DRG)
• Compartments
• Network Visualizer
• Replaced 90% of legacy infrastructure for ETC’s back-office clients
• Doubled performance by moving to OCI
• Reduced the time spent managing infrastructure to next to zero hours
• Achieved a 300% performance improvement

By moving to OCI, ETC has built a more cost-effective and efficient infrastructure. In the future, the company plans to use OCI’s cloud native technologies to further build out its infrastructure capabilities.

Archaeological Park of Pompeii taps OCI to reopen after COVID-19 lockdown

Following the pandemic, historical site Pompeii reopened using the MyPompeii mobile app, a solution built entirely on OCI with cloud native and API-first principles in mind. Pompeii used these OCI services, SDKs, and frameworks:

• Oracle Blockchain
• Oracle Autonomous Database
• Oracle Functions
• Container Registry (OCIR)
• Oracle Spatial Analytics
• A real-time heat map that enables information for points of interest, facilities, and social distancing
• Complete integration with online ticket sales application TicketOne, so visitors can scan a QR code on their tickets and access all the application’s content
• Visitor feedback through the application, certified through blockchain

The application has been downloaded by 20,000+ visitors in 2021.

Oracle Cloud helps accelerate COVID-19 testing in the US

In the early days of the pandemic, Oracle Consulting built a suite of public health management applications to help collect and analyze the data necessary for government health organizations and the medical community to understand the virus and its spread. Counties using the platform include Tarrant County, the third most populous county in the state of Texas. The platform not only helps Tarrant County’s testing facilities operate more effectively, but also provides valuable information to keep communities safe. These are the services used:

• Oracle APEX
• Oracle API Gateway
• Provide an online form and categorize each respondent’s risk as high, medium, or low
• Schedule appointments for people most likely to contract the coronavirus
• Allow patients to check in using a mobile app and QR code
• Allow patients to check out and provide the necessary data to testing partners
• Make the results from the testing partners available to patients
• Build customized dashboards with augmented and predictive analytics, data visualization, and intelligent insights

The platform provides Tarrant County with valuable information to keep its communities safe and COVID-19 cases down.

AgroScout improves development and DevOps with Oracle Cloud Native Services

AgroScout, a startup in the agritech sector, leveraged Oracle Cloud Native Services to migrate its application to Kubernetes and deliver an automated deployment pipeline. The AgroScout development team can easily manage its application, streamline its CI/CD platform, and achieve better performance on OCI. Facilities operate more effectively, but also provide valuable information to keep communities safe. These are the services used:

• Oracle Cloud Native Services
• Transition from a static application to a dynamic microservice-based app
• Cluster deployment time decreased from 23 hours to 2 minutes
• New version deployment reduced from 24 hours to minutes
• Enhanced ability to query thousands of images in seconds

AgroScout’s machine learning technology relies on OCI’s GPU instances proving the speed & performance that machine-learning workloads demand.

Integra LifeSciences enhances multicloud capabilities with OCI and achieves 90% time savings

Integra LifeSciences is a leading global provider of regenerative and neurosurgical devices and technologies, serving surgeons and hospitals worldwide. Between their outdated on-premises infrastructure and multiple failed migration attempts that disrupted business operations, Integra LifeSciences needed a more performant cloud provider to host their workloads, so they turned to OCI.

• Oracle Interconnect for Microsoft Azure
• Oracle Fusion Cloud Product Lifecycle Management
• Oracle Advanced Supply Chain Planning
• Oracle Cloud Observability and Management Platform
• Migrated Oracle E-Business Suite, Oracle Agile Product Lifecycle Management, and supply chain analytics and complete systems to OCI
• Improved report runtime by 87%, reducing it from an hour and 45 minutes to 13 minutes
• Reduced their general processing window from 8.5 hours to 3.5 hours
• Can now provision an environment in minutes compared to 10 to 14 days
• 90% time savings with in-memory database options

With the help of a proof-to-pilot deployment, Integra LifeSciences migrated more than 140 systems to OCI across environments for development, quality assurance, production, disaster recovery, and special projects.

• Stellar Cyber
• CWT Globelink

Waafi Bank launches their digital-only operations on OCI

Waafi Bank is a value-based bank, living up to the spirit of Waafi, which means faithful, trustworthy, and loyal. They were looking for a secure and robust infrastructure to implement their Core Banking System that would give them the flexibility to match resources to unpredictable demands without a huge capital expenditure investment. The infrastructure also had to be secure and compliant with various standards and regulatory requirements. Waafi Bank turned to OCI for the performance and operational efficiencies that they couldn’t achieve with another cloud provider.

• Oracle Data Safe
• OCI Flexible Network Load Balancer
• Oracle WebLogic Server for OCI
• Oracle Database service
• Oracle Identity Cloud Service
• Rapidly deploy resources to meet demands
• Only pay for what they consume
• Implement deliverables faster and serve customers better
• Optimize costs and boost performance
• Manage day-to-day security and compliance requirements more effectively and efficiently

As an easy-to-operate platform that minimizes downtime, OCI delivered unmatched performance for Oracle workloads with seamless integration across Waafi Bank’s stack.

Stellar Cyber’s SaaS offering delivers a leading SecOps platform powered by OCI

Stellar Cyber provides a security operations software platform to help security teams automatically detect, investigate, and respond to cyberattacks. With Stellar Cyber, organizations quickly respond to attacks to help reduce the impact and risk to the business. To provide these services to their customers, Stellar Cyber knew they needed a trusted cloud partner to run their security platform, and their goal for migrating to OCI was to launch a high-performance, low-latency, and cost-effective SaaS offering of their Open XDR security operations platform.

• OCI Web Application Firewall
• OCI Identity and Access Management
• Scale up the cluster size without worrying about resource availability and network connectivity
• Roll out deployments in multiple regions with a uniform management experience
• Eliminate IT staff, saving them time, money, and resources
• Reduce their overall total cost of ownership and their customers’ costs
• Focus more on application logic

The Stellar Cyber platform running on OCI is a big data application using AI and ML to help identify attacks in real time.

CWT Globelink transforms and delivers critical applications with OCI, APEX, and Autonomous Database

Formed in 1988, CWT Globelink is a global freight forwarder with a network of more than 100 offices in 32 countries. To keep up with their evolving products, CWT Globelink adopted a data-driven strategy with cloud technology at the forefront. Part of this strategy meant that CWT Globelink needed to build an effective, streamlined, and automated CRM application. To do so, the company needed a reliable cloud partner that could offer the technology required to build a modernized and customized client relationship management application, so they turned to OCI.

• OCI Certificates
• Improve price-performance, analytics capabilities, security, and operational efficiencies
• Cut development costs by 14%
• Reduce the cost of system updates and maintenance without any constraints on memory
• Automate previously manual processes

CWT Globelink was able to go live in only three months, and their IT team attributes the quick migration and technical implementation to Oracle’s customer service and engineering team.

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Carlsberg brews a scalable cloud infrastructure

Carlsberg transitions to a digital business with a scalable, flexible cloud infrastructure and automated application landscape.

5-minute read

A call for change

Unifying processes

Carlsberg was struggling to grow in an environment characterized by rising costs and evolving tastes. Consumers were shifting consumption from beer to wine, spirits and craft beers—or moving away from alcoholic beverages altogether. Traditional brewers were left to compete in a market that was growing steadily smaller. And they had to spend more to do so.

To break away from the pack, Carlsberg needed to take drastic action. Their CEO spearheaded an ambitious seven-year strategic plan, dubbed Sail ‘22, which had two main goals. The first was to cut operational costs by one-third to increase working capital and shareholder dividends. The second was to invest those savings in future growth.

Its leaders knew the company’s future rested on its ability to transform into a digital business, and they were confident that a move to the cloud was a necessary step in their transformation.

When tech meets human ingenuity

Since Accenture brought deep cloud expertise and was already working with the brewer to optimize its SAP applications, the two joined forces to map out Carlsberg’s transformation to the cloud.

The ultimate goal was to create a nimble, simplified digital business characterized by intelligent operations: data, applied intelligence and human ingenuity combined to drive better decisions, customer experiences and outcomes.

Moving to the cloud was the critical first step to carrying out its digital transformations and achieving its goal of intelligent operations. But the brewery group was not planning a typical cloud migration; it wanted to transition 100% of its global process workloads—previously managed with legacy systems and an on-premise data center—to a cloud environment. The solution would represent one of the largest and most complex transitions ever undertaken in the food and beverage industry. Given the scope of change at play, there was not a moment to waste.

Transforming to a digital business with cloud

In just eight weeks, a team comprising Carlsberg and Accenture Technology professionals developed a one-of-a-kind cloud strategy and selected Microsoft Azure as the cloud platform of choice. As Haywood pointed out, Accenture’s agnostic approach was just what was needed.

Tapping the robust ecosystem of Accenture alliance partners, Avanade and Microsoft, Carlsberg built its Azure architecture in just 10 weeks, embedding automation and innovation wherever possible to create better service quality and user experiences. In just six months, Carlsberg migrated 1,300 servers and 650 critical business applications to the cloud. The global migration occurred in three waves—the last of which involved moving 40 terabytes of data—and was completed with no disruption to the business.

Ultimately, Carlsberg zeroed in on transformations designed to enhance customer experiences, improve agility in local markets and gain greater customer insights.

They included:

An  application transformation  focused on reducing technology costs and optimizing the application landscape. Carlsberg became one of the first companies in Europe to close its datacenter.

A  “connected bar” solution  introduced a new, sustainable, lighter-weight beer keg with IoT sensors to gauge real-time consumption and link directly with marketing campaigns—a first for the company.

A  “smart brewery” solution  uses IoT sensors to identify problems during the production process and automatically issue maintenance requests minimizing service disruptions and optimizing production.

A  service delivery transformation  includes a new service desk, standardizing processes, applying intelligent tools and automation, and optimizing team configurations.

The people at Accenture were just as passionate about what we were trying to achieve as we were. Also, Accenture was able to provide the unbiased guidance we needed when it came to evaluating and ultimately choosing the right cloud solution.

Sarah Haywood / CIO of Carlsberg

A valuable difference

Today, Carlsberg has the scalable, flexible cloud infrastructure and the simplified, automated application landscape needed to support its transition to a digital business. It has also shifted 100% of its systems and applications from a legacy to cloud environment. Major system incidents have already dropped from an average of 13 per month to just five. Better reliability, security and disaster recovery capabilities are just the beginning. With the cloud’s variable cost model, Carlsberg has been able to significantly reduce operating expenditures and achieve the benefits of the business case.

100% in the cloud = unlimited innovation

Another key advantage is the freedom to innovate and experiment. Carlsberg now has the ability to operate much more quickly. It is launching new initiatives and campaigns in hours, rather than months.

The ability to develop IT solutions quickly, with certainty, is allowing Carlsberg to deliver more satisfying user and customer experiences. In short, the move to the cloud has freed up savings and laid the foundation for growth.

And the best is yet to come: With its new cloud platform and an optimized application landscape, the company will continually look for ways to use its new computing environment to achieve greater efficiencies and grow its brand in new markets. Accenture, which recently renewed its strategic partnership with Carlsberg through 2025, will be with the brewer every step of the way—capturing the full potential of SAP, squeezing more value from the cloud, and creating innovative services and solutions that set Carlsberg apart as a leader in the digital world.

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Cloud Computing Case Studies and Success Stories 2024

Home Blog Cloud Computing Cloud Computing Case Studies and Success Stories 2024

Have you ever wondered how all those services and apps operate so smoothly together to improve our digital lives? All of this is possible because of cloud computing, the unsung hero of the computer industry.

Imagine a business that is trying to innovate and improve its processes as it faces obstacles. Come into the cloud and intervene to rescue the day. Let me take you behind the scenes to witness the hardships, "Aha!" moments, and remarkable advantages this switch brought about.

Picture it as a beautiful performance where data and virtualization work together smoothly, creating a story that goes beyond just technology – it's a big change in how businesses work. Get ready for a journey into something amazing, where the cloud isn't just a fix; it's like the main character in a story of new and creative ways of doing things in the business world. In this article, I will take you across some of the cool cloud computing case study examples and highlight cloud implementation in those cases.

What is Cloud Computing?

Cloud computing is a technology that allows remote access to computing resources such as servers, storage, databases, networks, software, and analytics via the Internet. Instead of relying on local servers or personal devices to run applications, organizations and individuals can use a remote "cloud" of " servers to store and process data." This system is flexible and cost-effective, allowing users to pay for the resources they use.

Alright, so, you know how we all use apps, store photos, and run software on our devices? Well, cloud computing is like the behind-the-scenes magician making it all happen. Instead of relying on our own computers, it's like renting power from internet-connected supercomputers. These "cloud" servers handle everything – from storing your files to running complex applications. It's like having a virtual storage space and a powerhouse rolled into one. The cool part? You only pay for what you use. So, next time you save a document or binge-watch a show, remember you're tapping into the magic of cloud computing!

You can explore Knowledgehut Cloud Computing training courses to learn more about cloud computing.

Benefits of adopting cloud computing for businesses

Businesses can gain a great deal from adopting cloud computing, which can completely change how they function and plan in the digital world.

Cost Efficiency

• Businesses experience less financial burden since cloud computing eliminates the requirement for significant upfront hardware investments.
• Example: Let's say a startup releases a brand-new app. Rather than spending a lot of money on servers, they use cloud services. They only pay for the storage and processing power that they really use, which frees up funds for marketing and development.

Scalability

• Companies may readily adjust their resource levels in response to demand. This adaptability to transferring enterprise needs offers peak overall performance without requiring enormous infrastructure investments.
• Example: Imagine an e-commerce website during a holiday sale. Because of cloud scalability, users can shop with confidence as the site adapts automatically to growing traffic. Resources are reduced after the sale to save money.

Remote Cooperation

• Cloud services facilitate seamless communication across teams regardless of physical locations by enabling remote access to data and applications.
• Example: A design team works together on a project in a worldwide business setting. They may collaborate on the same files at the same time, no matter where they are, thanks to cloud tools.

Security Procedures

• Strong security measures like access controls, authentication, and encryption are frequently provided by cloud providers. Strengthening defenses against potential cyber threats is facilitated by automatic upgrades and disaster recovery capabilities.
• Example: An organization that handles finances shifts its operations to the cloud. The cloud provider’s advanced security features, such as encryption and multifactor authentication, protect sensitive customer data and assure compliance with industry standards.

Innovation and Efficiency

• Adoption of cloud computing propels organizations to the vanguard of innovation with the aid of presenting a dynamic and adaptable digital infrastructure. Consequently, quicker service and app deployment ends in expanded operational efficiency.
• Example: To run simulations, a research team needs a lot of processing power. They can swiftly access and launch virtual computers thanks to cloud computing, which speeds up their research and expands the realm of what is practical for them.

If you want to advance your career in technology, enroll in Cloud Computing training courses can provide the necessary skills and knowledge to rapid growly.

Cloud Computing Case Studies

Let’s dive into some of the popular case studies on cloud computing to decode how it has been a great asset in the current technological world.

Siemens Case Study

Let's look into the cloud computing case study of Siemens.

Background:

• Siemens, a global technology and engineering company, operates in various sectors, including energy.
• The energy sector faces challenges with numerous alerts and alarms in power plants, leading to increased operational complexity.
• High volume of alerts resulted in alert fatigue and reduced efficiency.
• Difficulty in distinguishing critical alerts from less urgent ones, impacting the ability to respond promptly to issues.

Solution: Siemens partnered with Amazon Web Services (AWS) to implement a cloud-based solution for optimizing alert management.

Implementation: 

• Leveraged AWS Cloud services to build a scalable and intelligent alerting system.
• Utilized AWS Lambda for serverless computing, enabling real-time processing of data.

Results: 

• Reduced power plant alerts by an impressive 90%, minimizing operational noise.
• Improved the ability to focus on critical alerts, enhancing overall plant efficiency.
• Achieved cost savings by leveraging the pay-as-you-go model of AWS services.

Technological Impact:

• Implemented machine learning algorithms to analyze historical data and predict potential issues, enabling proactive maintenance. I
• Integrated AWS CloudWatch for monitoring and AWS Simple Notification Service (SNS) for effective alert notifications.
• Operational Efficiency:
• Streamlined the monitoring process, allowing operators to respond swiftly to critical events. Enhanced decision-making by providing actionable insights derived from real-time data analysis.
• Scalability and Flexibility:
• AWS's scalable infrastructure ensured the system could handle increasing data volumes as the power plants expanded.
• Flexibility in deploying additional AWS services facilitated ongoing optimization and innovation.

User Experience: Improved overall user experience for plant operators by reducing cognitive load and allowing them to focus on critical tasks.

Future Prospects: Siemens continues to explore AWS services for further optimization, demonstrating a commitment to ongoing innovation and efficiency gains in power plant operations.

Dream 11 Case Study

Let's look into cloud computing case study of Dream11.

Background:  Dream11, India's largest fantasy sports platform, constantly seeks to enhance its technology infrastructure to provide users with a seamless and high-performance experience. Facing the challenge of optimizing costs while improving search functionality, Dream11 turned to Amazon OpenSearch Service for a strategic solution.

Challenges :

• Performance Enhancement: Dream11 aimed to boost the performance of its platform's search functionality, ensuring faster and more accurate results for users.
• Cost Optimization: Simultaneously, the company sought to optimize costs associated with the search infrastructure, aligning with efficient resource utilization.
• Integration of Amazon OpenSearch Service: Dream11 strategically chose Amazon OpenSearch Service to address its performance and cost optimization goals. The fully managed, open-source search and analytics service offered by AWS became a key component in upgrading Dream11's search functionality.

Key Achievements: 

• Performance Boost: Amazon OpenSearch Service enabled Dream11 to achieve a remarkable 40% improvement in the performance of its search functionality. Users experienced faster and more responsive search results, enhancing their overall experience on the platform.
• Cost Optimization: Leveraging the managed service model of Amazon OpenSearch, Dream11 successfully optimized costs associated with maintaining and scaling its search infrastructure. The platform could now efficiently allocate resources based on actual usage patterns.

Operational Efficiency: 

• Managed Service Model: Dream11 benefited from the fully managed nature of Amazon OpenSearch Service, reducing the operational overhead of maintaining and monitoring the search infrastructure.
• Scalability: The elastic nature of the service allowed Dream11 to scale its search capabilities dynamically, accommodating varying levels of user activity without compromising performance.

User Experience: 

• Faster and Accurate Results: With the enhanced performance of the search functionality, users enjoyed quicker and more accurate search results, contributing to an improved and satisfying user experience.
• Responsive Platform: Dream11's platform became more responsive, ensuring that users could swiftly find the information they were looking for, enhancing overall engagement.

Future Integration: 

• Continuous Optimization: Dream11 remains committed to continuous optimization and enhancement of its technology infrastructure. Future integration with AWS services and technologies could further improve various aspects of the platform.
• Innovation in Fantasy Sports Technology: The success of optimizing search functionality positions Dream11 to explore and implement innovative technologies in the realm of fantasy sports, offering users cutting-edge features and experiences.

BookMyShow Case Study

Let's look into the cloud computing case study on BookMyShow.

Background: BookMyShow, a prominent entertainment company in India, operates a comprehensive online ticketing platform and offers a range of services, including media streaming and event management.

Challenges: 

• Technical Debt: BookMyShow grappled with overprovisioned on-premises servers, resulting in unnecessary costs and inefficiencies.
• Scalability Concerns: The existing infrastructure struggled to dynamically scale according to fluctuating traffic volumes, leading to potential performance issues during peak times.

AWS Cloud Migration: 

• Strategic Partnership: BookMyShow collaborated with Amazon Web Services (AWS) and engaged Minfy Technologies, an AWS Premier Consulting Partner, to facilitate the migration of its data and applications to the AWS Cloud.
• Cost-Effective IT Architecture: The move to AWS aimed to create a more elastic and cost-effective IT infrastructure, aligning with BookMyShow's objectives for scalability and efficiency.
• Total Cost of Ownership (TCO) Improvement: BookMyShow achieved a significant 70 percent improvement in Total Cost of Ownership (TCO) by leveraging the cost-effective resources and scalability offered by AWS.
• Scalability: The AWS Cloud's elastic nature allowed BookMyShow to seamlessly scale its infrastructure in response to varying traffic demands, ensuring optimal performance during peak booking periods.
• Resource Optimization: By migrating to AWS, BookMyShow optimized resource allocation, eliminating the need for overprovisioned servers and reducing operational costs.
• Agility and Speed: The cloud environment provides agility and speed in deploying updates and features, contributing to a more responsive and efficient operational workflow.

Diverse Service Offerings: 

• Ticketing Platform: BookMyShow's online ticketing platform, which serves millions of customers across multiple regions, benefits from AWS's scalability and reliability.
• Media Streaming and Event Management: Beyond ticketing, AWS supports BookMyShow's diverse service offerings, including online media streaming and end-to-end event management for virtual and on-ground entertainment experiences.

Future Collaborations:

• Continuous Optimization: BookMyShow remains committed to continuous optimization, exploring further AWS services to enhance performance, security, and user experience.
• Innovation in Entertainment Technology: The collaboration with AWS positions BookMyShow to explore and implement innovative technologies, ensuring it stays at the forefront of the rapidly evolving entertainment tech landscape.

Source for Bookmyshow case study .

Pinterest Case Study

Let's look into the cloud computing case study on Pinterest.

Background: 

• Company: Pinterest, a visual discovery and bookmarking platform, relies on a robust and efficient built pipeline to ensure the quality and reliability of its iOS app.
• Objective: Enhancing the reliability of the iOS build pipeline to streamline the development process and deliver a seamless app experience.
• Build Pipeline Reliability: Pinterest faced challenges related to the reliability of its iOS build pipeline, impacting the speed and efficiency of app development.
• Resource Constraints: Traditional build infrastructure posed limitations, particularly for iOS development, where macOS environments are crucial.

Solution: 

• Amazon EC2 Mac Instances: Pinterest adopted Amazon EC2 Mac instances, leveraging macOS environments on the AWS cloud for iOS app builds.
• Scalability: The use of EC2 Mac instances allows Pinterest to scale resources dynamically based on the demand for iOS builds, optimizing performance and reducing bottlenecks.
• Reliability Improvement: By incorporating Amazon EC2 Mac instances, Pinterest achieved a remarkable 80.5% improvement in the reliability of its iOS build pipeline.
• Faster Development Cycle: The enhanced reliability translates to a more predictable and faster development cycle, enabling Pinterest to roll out app updates and features more efficiently.
• Parallel Build Processes: EC2 Mac instances enable Pinterest to run multiple iOS builds simultaneously in parallel, significantly reducing the overall build time.
• Cost Optimization: By utilizing EC2 Mac instances on a pay-as-you-go model, Pinterest optimizes costs, ensuring financial efficiency in infrastructure management.

Impact on Development Workflow: 

• Developer Productivity: The improved reliability and efficiency positively impact developer productivity, allowing them to focus on coding and innovation rather than troubleshooting build issues.
• Consistent Development Environment: EC2 Mac instances provide a consistent macOS development environment, minimizing compatibility issues and ensuring uniformity across the development lifecycle.
• Continuous Optimization: Pinterest continues to explore ways to optimize its build pipeline further, possibly incorporating additional AWS services or enhancements to the existing infrastructure.
• Broader Cloud Integration: The success of using EC2 Mac instances may encourage Pinterest to explore additional AWS cloud services for other aspects of its development and infrastructure needs.

Source for the Pinterest case study .

MakeMyTrip Case Study

Let's look into the cloud computing case study on MakeMyTrip.

Background:  MakeMyTrip, a leading online travel platform, caters to millions of users by providing a diverse range of travel services. In an ever-evolving and competitive industry, optimizing operational costs while maintaining robust performance is crucial. MakeMyTrip turned to Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) to achieve this delicate balance.

• Cost Efficiency: MakeMyTrip aimed to reduce its compute costs without compromising the performance and reliability of its services.
• Scalability: With varying levels of user activity and traffic patterns, the platform required a solution that could scale dynamically to handle fluctuations in demand.
• Amazon ECS and EKS Integration: MakeMyTrip strategically chose Amazon ECS and EKS, Amazon's containerization solutions, to streamline its computing infrastructure.
• Containerization: Containerization technology allowed MakeMyTrip to encapsulate applications into isolated environments, optimizing resource utilization and ensuring consistent performance.
• 22% Cost Reduction: Leveraging Amazon ECS and EKS, MakeMyTrip achieved a noteworthy 22% reduction in compute costs. This cost optimization played a crucial role in enhancing the company's financial efficiency.
• Scalability: Amazon ECS and EKS's scalability features allowed MakeMyTrip to dynamically adjust its compute resources, ensuring optimal performance during peak travel booking periods.
• Resource Optimization: Containerization through ECS and EKS enabled MakeMyTrip to efficiently allocate and manage resources, reducing wastage and improving overall operational efficiency.
• Simplified Management: The container orchestration provided by ECS and EKS simplified the management of MakeMyTrip's applications, allowing for easier deployment and updates.

Scalability and Performance: 

• Dynamic Scaling: With ECS and EKS, MakeMyTrip could scale its applications seamlessly in response to changes in user demand, ensuring consistent and reliable performance.
• High Availability: The solutions' features for load balancing and automatic scaling contributed to high availability, minimizing downtime during peak travel seasons.
• Continuous Optimization: MakeMyTrip remains committed to continuous optimization, exploring additional AWS services and advancements in containerization technologies for further enhancements.
• Innovation in Travel Technology: The success of cost reduction and performance improvement positions MakeMyTrip to explore and implement innovative technologies, offering users an even more advanced and seamless travel experience.

Source for MakeupTrip case study .

McDonald’s Case Study

Let's look into the cloud computing case study on McDonald's.

Background:  McDonald's Corporation, a global fast-food giant, has embraced digital transformation to redefine its operations and enhance customer experiences. Utilizing the capabilities of Amazon Web Services (AWS), McDonald's has evolved into a digital technology company, achieving remarkable performance milestones in the process.

• Digital Transformation: McDonald's aimed to transition into a digital-first organization, leveraging technology to improve efficiency and customer interactions.
• Performance Targets: The company set ambitious performance targets, seeking to enhance its point-of-sale (POS) system to handle a massive volume of transactions seamlessly.
• AWS Cloud Integration: McDonald's strategically integrated with Amazon Web Services, utilizing its cloud infrastructure for scalable and efficient digital transformation.
• Cloud-Enabled Technology: AWS empowered McDonald's to implement cloud-enabled technologies, enabling a comprehensive overhaul of its systems and processes.
• Performance Milestones: McDonald's exceeded performance targets by up to 66%, showcasing the efficacy of its cloud-enabled digital transformation on AWS.
• Transactions Per Second: The POS system achieved an impressive capability to complete 8,600 transactions per second, demonstrating the scalability and efficiency of the cloud-based solution.

Operational Excellence: 

• Efficient Transactions: AWS provided the necessary infrastructure for McDonald's to conduct transactions with unprecedented efficiency, contributing to operational excellence.
• Scalability: The cloud-based solution ensured that McDonald's could scale its operations dynamically, accommodating fluctuations in customer demand seamlessly.

Customer Experience: 

• Enhanced Interactions: McDonald's digital transformation on AWS led to improved customer interactions, offering a more streamlined and responsive experience at the point of sale.
• Digital Services: Leveraging AWS, McDonald's expanded its digital services, catering to the evolving preferences of its tech-savvy customer base.

Real-Time Performance: 

• Dynamic Transactions: McDonald's achieved real-time processing capabilities, handling a substantial volume of transactions seamlessly through its POS system.

Future Prospects: 

• Continuous Innovation: McDonald's remains committed to continuous innovation, exploring new AWS services and technologies for further enhancements in its digital offerings.
• Global Expansion: The scalability and reliability of AWS position McDonald's for global expansion, ensuring a consistent and efficient digital experience across diverse markets.

Source for McDonald's case study .

Airbnb Case Study

Let's look into the cloud computing case study on Airbnb.

Background: Airbnb, a global online marketplace for lodging and travel experiences, faced the challenge of scaling its Continuous Integration/Continuous Deployment (CI/CD) pipeline to keep pace with the rapid expansion of its online marketplace. To address this, Airbnb turned to Amazon Elastic File System (EFS) and Amazon Simple Queue Service (SQS), leveraging AWS's scalable solutions.

• Scaling Infrastructure: As Airbnb experienced significant growth, the existing source control infrastructure needed to scale to meet the demands of an expanding online marketplace.
• Engineered Solution: To accommodate this growth, Airbnb sought a scalable and robust engineering solution for its CI/CD pipeline.
• Amazon EFS and SQS Integration: Airbnb strategically integrated Amazon EFS and Amazon SQS into its infrastructure, ensuring a scalable and efficient CI/CD pipeline.
• Scalable File Storage: Amazon EFS provided a scalable file storage solution, enabling Airbnb to handle increased data and file storage demands.
• Queue System: Amazon SQS was utilized to create a queue system, facilitating seamless communication and coordination within the CI/CD pipeline.
• Elimination of Scaling Concerns: With Amazon EFS and SQS in place, Airbnb overcame concerns about scaling its source control infrastructure, ensuring the ability to match the platform's exponential growth.
• Confidence in Scalability: The implementation instilled confidence in Airbnb's ability to scale its CI/CD pipeline in alignment with the expanding online marketplace.
• Efficient Source Control: Amazon EFS's scalable file storage system enhanced the efficiency of Airbnb's source control infrastructure, supporting a smooth CI/CD pipeline operation.
• Seamless Communication: Amazon SQS's queue system ensured seamless communication between different components of the CI/CD pipeline, minimizing bottlenecks.

Real-Time Impact: 

• Responsive Growth: The integration of Amazon EFS and SQS allowed Airbnb's CI/CD pipeline to respond dynamically to the platform's growth, ensuring a responsive and efficient development workflow.

Future Scalability: 

• Continuous Improvement: Airbnb remains committed to continuous improvement, exploring additional AWS services and technologies to further enhance the scalability and efficiency of its CI/CD pipeline.
• Scalability Assurance: The successful implementation of Amazon EFS and SQS assures Airbnb that it can confidently scale its infrastructure to meet future growth challenges.

Source for Airbnb case study .

Yulu Case Study

Let's look into the cloud computing case study of Yulu.

Background:  Yulu, a prominent micro-mobility service provider, sought to enhance its service efficiency by leveraging predictive analytics. Through the implementation of a robust prediction model and the utilization of Amazon Web Services (AWS) data lake capabilities, Yulu aimed to optimize its operations and deliver an improved experience to its users.

• Service Efficiency: Yulu faced challenges related to optimizing service efficiency, including fleet management, resource allocation, and user experience.
• Data Utilization: Leveraging the wealth of data generated by its micro-mobility services, Yulu aimed to extract actionable insights to drive operational improvements.
• Prediction Model Implementation: Yulu deployed a sophisticated prediction model to analyze historical and real-time data, forecasting demand, and optimizing resource allocation.
• AWS Data Lake Integration: To effectively manage and analyze large volumes of data, Yulu utilized AWS data lake capabilities, providing a scalable and secure infrastructure.
• Service Efficiency Improvement: The implementation of the prediction model and the utilization of AWS data lake resulted in a substantial improvement in service efficiency, with Yulu achieving a 30–35% enhancement.
• Optimized Resource Allocation: The prediction model enabled Yulu to allocate resources more effectively, ensuring that micro-mobility assets were positioned strategically based on anticipated demand.

Operational Excellence:

• Real-time Data Analysis: The prediction model, coupled with AWS data lake capabilities, allowed Yulu to perform real-time analysis of data, enabling swift and informed decision-making.
• Cost Optimization: Yulu optimized costs associated with fleet management and resource allocation, aligning expenses with actual demand patterns.
• Enhanced Availability: With improved service efficiency, Yulu enhanced the availability of its micro-mobility services, providing users with a more reliable and accessible transportation option.
• Predictive Features: Users benefited from predictive features, such as accurate arrival times and availability forecasts, contributing to an overall enhanced experience.

Future Optimizations: 

• Continuous Model Refinement: Yulu is committed to continuous refinement of its prediction model, incorporating new data and feedback to further enhance service efficiency.
• Expanded Data Utilization: The success of AWS data lake integration encourages Yulu to explore additional ways to leverage data for innovation and business optimization.

Source for Yulu bike case study .

Canva Case study

Let's look into the cloud computing case study of Canva.

Background: Canva, a leading graphic design platform, faced the dual challenge of scaling to accommodate its rapidly growing user base, reaching 160 million monthly active users while concurrently managing and optimizing costs. To address this challenge, Canva strategically leveraged the breadth of Amazon Elastic Compute Cloud (EC2) purchase models and cost optimization tools offered by AWS.

• Scalability: With a massive user base, Canva needed to scale its infrastructure to handle increasing user demands seamlessly.
• Cost Management: As the user base expanded, cost management became crucial. Canva aimed to optimize costs without compromising on performance.
• Amazon EC2 Purchase Models: Canva utilized a mix of Amazon EC2 purchase models, including On-Demand Instances, Reserved Instances, and Spot Instances, to match its diverse workload requirements with cost-effective options.
• Cost Optimization Tools: Leveraging AWS's suite of cost optimization tools, Canva implemented strategies to identify and eliminate inefficiencies, ensuring optimal resource utilization.
• Scale to 160 million Users: Canva successfully scaled its infrastructure to accommodate 160 million monthly active users, meeting the demands of a rapidly growing user base.
• Cost Control: The strategic use of Amazon EC2 purchase models and cost optimization tools allowed Canva to effectively control costs, aligning expenses with actual workload needs.
• Workload Matching: The flexibility of Amazon EC2 purchase models enabled Canva to match diverse workloads with the most cost-effective instance types, optimizing resource utilization.
• Efficient Resource Allocation: AWS cost optimization tools identified and rectified inefficiencies, ensuring efficient resource allocation and reducing unnecessary expenses.
• Scalable Performance: Canva's scalable infrastructure supported a seamless and responsive user experience, even with the significant increase in monthly active users.
• Consistent Service Availability: The optimization efforts contributed to consistent service availability, enhancing reliability for Canva's global user base.
• Dynamic Workload Management: The adaptability of EC2 purchase models allowed Canva to dynamically manage its workload, adjusting resources based on real-time demands.
• Cost Visibility: The implementation of AWS cost optimization tools provided real-time visibility into expenses, allowing Canva to make informed decisions to control costs.

Future Strategies: 

• Continuous Optimization: Canva remains committed to continuous optimization, exploring new EC2 purchase models and cost optimization tools to further refine its infrastructure.
• Innovation and Growth: The successful management of costs positions Canva for continued innovation and growth, ensuring that the platform can evolve to meet the needs of its expanding user base.

Source for Canva case study .

McAfee Case study

Let's look into the cloud computing case study of McAfee.

Background: McAfee, a global leader in the cybersecurity industry, aimed to significantly enhance the performance and efficiency of its operations, particularly in managing a colossal volume of daily transactions. To achieve this, McAfee turned to Amazon Elastic Block Store (EBS), specifically leveraging the high-performance capabilities of Amazon EBS io2 Block Express volumes.

• Performance Optimization: McAfee faced challenges in optimizing its operations' performance, especially concerning the management of many daily transactions.
• Backup Time: Efficient backup processes were crucial, and McAfee sought ways to streamline and expedite its backup procedures.
• Amazon EBS Integration: McAfee strategically integrated Amazon EBS into its infrastructure, harnessing the capabilities of Amazon EBS io2 Block Express volumes for enhanced performance.
• High-Performance Storage: The adoption of io2 Block Express volumes allowed McAfee to leverage high-performance storage, crucial for managing the demanding workload of daily transactions.
• Performance Enhancement: McAfee achieved a substantial 30% improvement in overall performance, optimizing its ability to handle and process 400 million daily transactions.
• Backup Time Reduction: The integration of Amazon EBS io2 Block Express volumes resulted in a significant 50% reduction in backup time, streamlining critical backup processes.
• Efficient Data Management: Amazon EBS provided McAfee with efficient data management capabilities, ensuring that the cybersecurity company could handle daily transactions seamlessly.
• Reliable Storage: The high-performance storage offered by io2 Block Express volumes contributed to the reliability and responsiveness of McAfee's operations.

Cost Efficiency: 

• Optimized Resource Utilization: McAfee optimized resource utilization with Amazon EBS, ensuring that storage resources were allocated efficiently to meet performance demands.
• Cost-Effective Scalability: The scalable nature of EBS io2 Block Express volumes allowed McAfee to align costs with actual storage and performance requirements.

Future Optimization: 

• Continuous Performance Tuning: McAfee remains committed to continuous performance tuning, exploring additional AWS services and advancements to further optimize its operations.
• Exploring Innovations: The success with Amazon EBS opens the door for McAfee to explore further innovations and integrations within the AWS ecosystem.

Source for McAfee case study .

You might have noticed some of the top companies using Amazon Web Services to deploy their application. You can also become an AWS Certified solution architect by enrolling in Cloud Computing course .

In conclusion, the adoption of cloud computing offers unparalleled benefits for businesses in the modern digital landscape. Cloud computing provides a flexible and scalable infrastructure, allowing organizations to efficiently manage resources based on demand. The cost-effectiveness of cloud services, eliminating the need for extensive upfront investments in hardware and maintenance, empowers businesses of all sizes.

With the ability to leverage advanced technologies, rapid innovation, and global reach, cloud computing emerges as a catalyst for sustainable growth, agility, and resilience in today's dynamic business environment. As businesses navigate the future, embracing cloud computing remains pivotal for staying competitive, adaptive, and prepared for the ever-evolving landscape of the digital economy.

Frequently Asked Questions

Cloud computing facilitates secure storage and sharing of patient records, enabling seamless collaboration among healthcare professionals. 

Financial institutions leverage the cloud for data analysis, risk management, and customer-facing applications, ensuring real-time insights and enhanced customer experiences.

Cloud allows businesses to scale resources up or down based on demand, ensuring optimal performance and cost efficiency. Cloud services provide flexibility by enabling remote access to data and applications, fostering collaboration and adaptability in a dynamic business environment.

Businesses should prioritize providers with robust security protocols to safeguard sensitive data. The chosen provider should offer scalable solutions to accommodate business growth and evolving needs effectively.

Businesses may face challenges in ensuring data security and compliance during the migration process. Compatibility and integration with existing systems can pose challenges, impacting the seamless transition to the cloud.

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. 

Avail your free 1:1 mentorship session.

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10 Important Cloud Migration Case Studies You Need to Know

Aug 1, 2019 | Engineering

For most businesses considering cloud migration, the move is filled with promise and potential. Scalability, flexibility, reliability, cost-effectiveness, improved performance and disaster recovery, and simpler, faster deployment — what’s not to like? 

It’s important to understand that cloud platform benefits come alongside considerable challenges, including the need to improve availability and latency, auto-scale orchestration, manage tricky connections, scale the development process effectively, and address cloud security challenges. While advancements in virtualization and containerization (e.g., Docker, Kubernetes) are helping many businesses solve these challenges, cloud migration is no simple matter. 

That’s why, when considering your organization’s cloud migration strategy, it’s beneficial to look at case studies and examples from other companies’ cloud migration experiences. Why did they do it? How did they go about it? What happened? What benefits did they see, and what are the advantages and disadvantages of cloud computing for these businesses? Most importantly, what lessons did they learn — and what can you learn from them? 

With that in mind, Distillery has put together 10 cloud migration case studies your business can learn from. While most of the case studies feature companies moving from on-premise, bare metal data centers to cloud, we also look at companies moving from cloud to cloud, cloud to multi-cloud, and even off the cloud. Armed with all these lessons, ideas, and strategies, you’ll feel readier than ever to make the cloud work for your business.

Challenges for Cloud Adoption: Is Your Organization Ready to Scale and Be Cloud-first?

We examine several of these case studies from a more technical perspective in our white paper on Top Challenges for Cloud Adoption in 2019 . In this white paper, you’ll learn:

• Why cloud platform development created scaling challenges for businesses
• How scaling fits into the big picture of the Cloud Maturity Framework
• Why advancements in virtualization and containerization have helped businesses solve these scaling challenges
• How companies like Betabrand, Shopify, Spotify, Evernote, Waze, and others have solved these scaling challenges while continuing to innovate their businesses and provide value to users

#1 Betabrand : Bare Metal to Cloud

Betabrand (est. 2005) is a crowd-funded, crowd-sourced retail clothing e-commerce company that designs, manufactures, and releases limited-quantity products via its website. 

Migration Objective 

The company struggled with the maintenance difficulties and lack of scalability of the bare metal infrastructure supporting their operations. 

Planning for and adding capacity took too much time and added costs. They also needed the ability to better handle website traffic surges.

Migration Strategy and Results 

In anticipation of 2017’s Black Friday increased web traffic, Betabrand migrated to a Google Cloud infrastructure managed by Kubernetes (Google Kubernetes Engine, or GKE). They experienced no issues related to the migration, and Black Friday 2017 was a success. 

By Black Friday 2018, early load testing and auto-scaling cloud infrastructure helped them to handle peak loads with zero issues. The company hasn’t experienced a single outage since migrating to the cloud.

Key Takeaways

• With advance planning, cloud migration can be a simple process. Betabrand’s 2017 on-premise to cloud migration proved smooth and simple. In advance of actual migration, they created multiple clusters in GKE and performed several test migrations, thereby identifying the right steps for a successful launch.
• Cloud streamlines load testing. Betabrand was able to quickly create a replica of its production services that they could use in load testing. Tests revealed poorly performing code paths that would only be revealed by heavy loads. They were able to fix the issues before Black Friday. 
• Cloud’s scalability is key to customer satisfaction. As a fast-growing e-commerce business, Betabrand realized they couldn’t afford the downtime or delays of bare metal. Their cloud infrastructure scales automatically, helping them avoid issues and keep customers happy. This factor alone underlines the strategic importance of cloud computing in business organizations like Betabrand. 

#2 Shopify : Cloud to Cloud

Shopify (est. 2006) provides a proprietary e-commerce software platform upon which businesses can build and run online stores and retail point-of-sale (POS) systems. 

Shopify wanted to ensure they were using the best tools possible to support the evolution needed to meet increasing customer demand. Though they’d always been a cloud-based organization, building and running their e-commerce cloud with their own data centers, they sought to capitalize on the container-based cloud benefits of immutable infrastructure to provide better support to their customers. Specifically, they wanted to ensure predictable, repeatable builds and deployments; simpler and more robust rollbacks; and elimination of configuration management drift. 

By building out their cloud with Google, building a “Shop Mover” database migration tool, and leveraging Docker containers and Kubernetes, Shopify has been able to transform its data center to better support customers’ online shops, meeting all their objectives. For Shopify customers, the increasingly scalable, resilient applications mean improved consistency, reliability, and version control.

• Immutable infrastructure vastly improves deployments. Since cloud servers are never modified post-deployment, configuration drift — in which undocumented changes to servers can cause them to diverge from one another and from the originally deployed configuration — is minimized or eliminated. This means deployments are easier, simpler, and more consistent.
• Scalability is central to meeting the changing needs of dynamic e-commerce businesses. Shopify is home to online shops like Kylie Cosmetics, which hosts flash sales that can sell out in 20 seconds. Shopify’s cloud-to-cloud migration helped its servers flex to meet fluctuating demand, ensuring that commerce isn’t slowed or disrupted.

#3 Spotify: Bare Metal to Cloud

Spotify (est. 2006) is a media services provider primarily focused on its audio-streaming platform, which lets users search for, listen to, and share music and podcasts.

Spotify’s leadership and engineering team agreed: The company’s massive in-house data centers were difficult to provision and maintain, and they didn’t directly serve the company’s goal of being the “best music service in the world.” They wanted to free up Spotify’s engineers to focus on innovation. They started planning for migration to Google Cloud Platform (GCP) in 2015, hoping to minimize disruption to product development, and minimize the cost and complexity of hybrid operation. 

Spotify invested two years pre-migration in preparing, assigning a dedicated Spotify/Google cloud migration team to oversee the effort. Ultimately, they split the effort into two parts, services and data, which took a year apiece. For services migration, engineering teams moved services to the cloud in focused two-week sprints, pausing on product development. For data migration, teams were allowed to choose between “forklifting” or rewriting options to best fit their needs. Ultimately, Spotify’s on-premise to cloud migration succeeded in increasing scalability while freeing up developers to innovate. 

• Gaining stakeholder buy-in is crucial. Spotify was careful to consult its engineers about the vision. Once they could see what their jobs looked like in the future, they were all-in advocates. 
• Migration preparation shouldn’t be rushed. Spotify’s dedicated migration team took the time to investigate various cloud strategies and build out the use case demonstrating the benefits of cloud computing to the business. They carefully mapped all dependencies. They also worked with Google to identify and orchestrate the right cloud strategies and solutions. 
• Focus and dedication pay huge dividends. Spotify’s dedicated migration team kept everything on track and in focus, making sure everyone involved was aware of past experience and lessons already learned. In addition, since engineering teams were fully focused on the migration effort, they were able to complete it more quickly, reducing the disruption to product development.

#4 Evernote : Bare Metal to Cloud

Evernote (est. 2008) is a collaborative, cross-platform note-taking and task management application that helps users capture, organize, and track ideas, tasks, and deadlines.

Evernote, which had maintained its own servers and network since inception, was feeling increasingly limited by its infrastructure. It was difficult to scale, and time-consuming and expensive to maintain. They wanted more flexibility, as well as to improve Evernote’s speed, reliability, security, and disaster recovery planning. To minimize service disruption, they hoped to conduct the on-premise to cloud migration as efficiently as possible. 

Starting in 2016, Evernote used an iterative approach : They built a strawman based on strategic decisions, tested its viability, and rapidly iterated. They then settled on a cloud migration strategy that used a phased cutover approach, enabling them to test parts of the migration before committing. They also added important levels of security by using GCP service accounts , achieving “encryption at rest,” and improving disaster recovery processes. Evernote successfully migrated 5 billion notes and 5 billion attachments to GCP in only 70 days. 

• Cloud migration doesn’t have to happen all at once. You can migrate services in phases or waves grouped by service or user. Evernote’s phased cutover approach allowed for rollback points if things weren’t going to according to plan, reducing migration risk. 
• Ensuring data security in the cloud may require extra steps. Cloud security challenges may require extra focus in your cloud migration effort. Evernote worked with Google to create the additional security layers their business required. GCP service accounts can be customized and configured to use built-in public/private key pairs managed and rotated daily by Google.
• Cloud capabilities can improve disaster recovery planning. Evernote wanted to ensure that they would be better prepared to quickly recover customer data in the event of a disaster. Cloud’s reliable, redundant, and robust data backups help make this possible. 

#5 Etsy : Bare Metal to Cloud

Etsy (est. 2005) is a global e-commerce platform that allows sellers to build and run online stores selling handmade and vintage items and crafting supplies.

Etsy had maintained its own infrastructure from inception. In 2018, they decided to re-evaluate whether cloud was right for the company’s future. In particular, they sought to improve site performance, engineering efficiency, and UX. They also wanted to ensure long-term scalability and sustainability, as well as to spend less time maintaining infrastructure and more time executing strategy.

Migration Strategy and Results

Etsy undertook a detailed vendor selection process , ultimately identifying GCP as the right choice for their cloud migration strategy . Since they’d already been running their own Kubernetes cluster inside their data center, they already had a partial solution for deploying to GKE. They initially deployed in a hybrid environment (private data center and GKE), providing redundancy, reducing risk, and allowing them to perform A/B testing. They’re on target to complete the migration and achieve all objectives. 

Key Takeaways 

• Business needs and technology fit should be periodically reassessed. While bare metal was the right choice for Etsy when it launched in 2005, improvements in infrastructure as a service (IaaS) and platform as a service (PaaS) made cloud migration the right choice in 2018.
• Detailed analysis can help businesses identify the right cloud solution for their needs. Etsy took a highly strategic approach to assessment that included requirements definition, RACI (responsible, accountable, consulted, informed) matrices, and architectural reviews. This helped them ensure that their cloud migration solution would genuinely help them achieve all their goals.
• Hybrid deployment can be effective for reducing cloud migration risk. Dual deployment on their private data center and GKE was an important aspect of Etsy’s cloud migration strategy. 

#6 Waze : Cloud to Multi-cloud

Waze (est. 2006; acquired by Google in 2013) is a GPS-enabled navigation application that uses real-time user location data and user-submitted reports to suggest optimized routes.

Though Waze moved to the cloud very early on, their fast growth quickly led to production issues that caused painful rollbacks, bottlenecks, and other complications. They needed to find a way to get faster feedback to users while mitigating or eliminating their production issues.  

Waze decided to run an active-active architecture across multiple cloud providers — GCP and Amazon Web Services (AWS) — to improve the resiliency of their production systems. This means they’re better-positioned to survive a DNS DDOS attack, or a regional or global failure. An open source continuous delivery platform called Spinnaker helps them deploy software changes while making rollbacks easy and reliable. Spinnaker makes it easy for Waze’s engineers to deploy across both cloud platforms, using a consistent conceptual model that doesn’t rely on detailed knowledge of either platform .  

• Some business models may be a better fit for multiple clouds. Cloud strategies are not one-size-fits-all. Waze’s stability and reliability depends on avoiding downtime, deploying quick fixes to bugs, and ensuring the resiliency of their production systems. Running on two clouds at once helps make it all happen. 
• Your engineers don’t necessarily have to be cloud experts to deploy effectively. Spinnaker streamlines multi-cloud deployment for Waze such that developers can focus on development, rather than on becoming cloud experts. 

Deploying software more frequently doesn’t have to mean reduced stability/reliability. Continuous delivery can get you to market faster, improving quality while reducing risk and cost.

#7 AdvancedMD : Bare Metal to Cloud

AdvancedMD (est. 1999) is a software platform used by medical professionals to manage their practices, securely share information, and manage workflow, billing, and other tasks. 

AdvancedMD was being spun off from its parent company, ADP; to operate independently, it had to move all its data out of ADP’s data center. Since they handle highly sensitive, protected patient data that must remain available to practitioners at a moment’s notice, security and availability were top priorities. They sought an affordable, easy-to-manage, and easy-to-deploy solution that would scale to fit their customers’ changing needs while keeping patient data secure and available.

AdvancedMD’s on-premise to cloud migration would avoid the need to hire in-house storage experts, save them and their customers money, ensure availability, and let them quickly flex capacity to accommodate fluctuating needs. It also offered the simplicity and security they needed. Since AdvancedMD was already running NetApp storage arrays in its data center, it was easy to use NetApp’s Cloud Volumes ONTAP to move their data to AWS. ONTAP also provides the enterprise-level data protection and encryption they require.

• Again, ensuring data security in the cloud may require extra steps. Though cloud has improved or mitigated some security concerns (e.g., vulnerable OS dependencies, long-lived compromised servers), hackers have turned their focus to the vulnerabilities that remain. Thus, your cloud migration strategy may need extra layers of controls (e.g., permissions, policies, encryption) to address these cloud security challenges.
• When service costs are a concern, cloud’s flexibility may help. AdvancedMD customers are small to mid-sized budget-conscious businesses. Since cloud auto-scales, AdvancedMD never pays for more cloud infrastructure than they’re actually using. That helps them keep customer pricing affordable.

#8 Dropbox : Cloud to Hybrid

Dropbox (est. 2007) is a file hosting service that provides cloud storage and file synchronization solutions for customers.

Dropbox had developed its business by using the cloud — specifically, Amazon S3 (Simple Storage Service) — to house data while keeping metadata housed on-premise. Over time, they began to fear they’d become overly dependent on Amazon: not only were costs increasing as their storage needs grew, but Amazon was also planning a similar service offering, Amazon WorkDocs. Dropbox decided to take back their storage to help them reduce costs, increase control, and maintain their competitive edge. 

While the task of moving all that data to an in-house infrastructure was daunting, the company decided it was worth it — at least in the US (Dropbox assessed that in Europe, AWS is still the best fit). Dropbox designed in-house and built a massive network of new-breed machines orchestrated by software built with an entirely new programming language, moving about 90% of its files back to its own servers . Dropbox’s expanded in-house capabilities have enabled them to offer Project Infinite, which provides desktop users with universal compatibility and unlimited real-time data access.

• On-premise infrastructure may still be right for some businesses. Since Dropbox’s core product relies on fast, reliable data access and storage, they need to ensure consistently high performance at a sustainable cost. Going in-house required a huge investment, but improved performance and reduced costs may serve them better in the long run. Once Dropbox understood that big picture, they had to recalculate the strategic importance of cloud computing to their organization.  
• Size matters. As Wired lays out in its article detailing the move , cloud businesses are not charities. There’s always going to be margin somewhere. If a business is big enough — like Dropbox — it may make sense to take on the difficulties of building a massive in-house network. But it’s a huge risk for businesses that aren’t big enough, or whose growth may stall.

#9 GitLab : Cloud to Cloud

GitLab (est. 2011) is an open core company that provides a single application supporting the entire DevOps life cycle for more than 100,000 organizations. 

GitLab’s core application enables software development teams to collaborate on projects in real time, avoiding both handoffs and delays. GitLab wanted to improve performance and reliability, accelerating development while making it as seamless, efficient, and error-free as possible. While they acknowledged that Microsoft Azure had been a great cloud provider, they strongly believed that GCP’s Kubernetes was the future, calling it “a technology that makes reliability at massive scale possible.” 

In 2018, GitLab migrated from Azure to GCP so that GitLab could run as a cloud-native application on GKE. They used their own Geo product to migrate the data, initially mirroring the data between Azure and GCP. Post-migration, GitLab reported improved performance (including fewer latency spikes) and a 61% improvement in availability.    

• Containers are seen by many as the future of DevOps. GitLab was explicit that they view Kubernetes as the future. Indeed, containers provide notable benefits, including a smaller footprint, predictability, and the ability to scale up and down in real time. For GitLab’s users, the company’s cloud-to-cloud migration makes it easier to get started with using Kubernetes for DevOps.
• Improved stability and availability can be a big benefit of cloud migration. In GitLab’s case, mean-time between outage events pre-migration was 1.3 days. Excluding the first day post-migration, they’re up to 12 days between outage events. Pre-migration, they averaged 32 minutes of downtime weekly; post-migration, they’re down to 5. 

#10 Cordant Group : Bare Metal to Hybrid

The Cordant Group (est. 1957) is a global social enterprise that provides a range of services and solutions, including recruitment, security, cleaning, health care, and technical electrical.

Over the years, the Cordant Group had grown tremendously, requiring an extensive IT infrastructure to support their vast range of services. While they’d previously focused on capital expenses, they’d shifted to looking at OpEx, or operational expenses — which meant cloud’s “pay as you go” model made increasing sense. It was also crucial to ensure ease of use and robust data backups.

They began by moving to a virtual private cloud on AWS , but found that the restriction to use Windows DFS for file server resource management was creating access problems. NetApp Cloud ONTAP, a software storage appliance that runs on AWS server and storage resources, solved the issue. File and storage management is easier than ever, and backups are robust, which means that important data restores quickly. The solution also monitors resource costs over time, enabling more accurate planning that drives additional cost savings. 

• Business and user needs drive cloud needs. That’s why cloud strategies will absolutely vary based on a company’s unique needs. The Cordant Group needed to revisit its cloud computing strategy when users were unable to quickly access the files they needed. In addition, with such a diverse user group, ease of use had to be a top priority.
• Cloud ROI ultimately depends on how your business measures ROI. The strategic importance of cloud computing in business organizations is specific to each organization. Cloud became the right answer for the Cordant Group when OpEx became the company’s dominant lens. 

Which Cloud Migration Strategy Is Right for You?

As these 10 diverse case studies show, cloud strategies are not one-size-fits all. Choosing the right cloud migration strategy for your business depends on several factors, including your:

• Goals. What business results do you want to achieve as a result of the migration? How does your business measure ROI? What problems are you trying to solve via your cloud migration strategy? 
• Business model. What is your current state? What are your core products/services and user needs, and how are they impacted by how and where data is stored? What are your development and deployment needs, issues, and constraints? What are your organization’s cost drivers? How is your business impacted by lack of stability or availability? Can you afford downtime? 
• Security needs. What are your requirements regarding data privacy, confidentiality, encryption, identity and access management, and regulatory compliance? Which cloud security challenges pose potential problems for your business?
• Scaling needs. Do your needs and usage fluctuate? Do you expect to grow or shrink? 
• Disaster recovery and business continuity needs. What are your needs and capabilities in this area? How might your business be impacted in the event of a major disaster — or even a minor service interruption? 
• Technical expertise. What expertise do you need to run and innovate your core business? What expertise do you have in-house? Are you allocating your in-house expertise to the right efforts? 
• Team focus and capacity. How much time and focus can your team dedicate to the cloud migration effort? 
• Timeline. What business needs constrain your timeline? What core business activities must remain uninterrupted? How much time can you allow for planning and testing your cloud migration strategy? 

Of course, this list isn’t exhaustive. These questions are only a starting point. But getting started — with planning, better understanding your goals and drivers, and assessing potential technology fit — is the most important step of any cloud migration process. We hope these 10 case studies have helped to get you thinking in the right direction. 

While the challenges of cloud migration are considerable, the right guidance, planning, and tools can lead you to the cloud strategies and solutions that will work best for your business. So don’t delay: Take that first step to helping your business reap the potential advantages and benefits of cloud computing. 

Ready to take the next step on your cloud journey? As a Certified Google Cloud Technology Partner , Distillery is here to help. Download our white paper on top challenges for cloud adoption to get tactical and strategic about using cloud to transform your business.  

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IBM Cloud Case Studies

I decided to choose the Cloud Case for American Airlines.

• My thoughts on this case study is that it would be overall beneficial to American Airlines. This is the case because the airline business is very competitive, therefore airlines need to keep up with the latest technology to stay relevant to customers.
• The advantages for using cloud computing are that it is up to date technology and it transfers information in a quick and efficient manner. The disadvantages are that information does have a higher chance of being lost while transferring on the cloud. Also it could potentially be hacked depending on the system that is being used.
• If I were working for American Airlines, I would probably be for the cloud computing. This is the case because it would make things easier to transfer data. Having the cloud computing would give the company a leg up since they would be adapting new technology to the company.

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20 persistent cloud myths holding businesses back.

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There’s real promise for businesses across industries in moving to the cloud, especially with so many companies operating with remote teams. From scalability to budget savings, the cloud can help businesses simplify and streamline processes—but only if migrations are carefully planned and teams have full knowledge of what to expect.

Several myths and misconceptions around cloud computing persist, and they can hinder an organization from achieving the optimal results from a move to the cloud. Below, 20 members of Forbes Technology Council detail and debunk common myths that can prevent businesses from leveraging cloud services fully and wisely.

1. Self-Hosted Platforms Are More Secure

Many organizations believe that they can’t move their confidential data to the cloud due to security concerns. However, cloud services are professionally managed and constantly updated. Many times, cloud infrastructure is actually more secure than a self-hosted platform. - Rohit Kapoor , Tekmonks

2. Data Sovereignty Isn’t An Issue

One myth is that data sovereignty isn’t key. Local laws and regulations define how data must be managed, stored and processed, and it varies between countries. Global enterprises cannot ignore these intricacies. It’s essential to have a trusted provider with digital expertise and global orchestration capabilities baked into their operations, which helps companies navigate a complicated geopolitical landscape. - Scott Williams , Orange Business

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How to watch real martha baby reindeer interview with piers morgan, drake kendrick lamar feud timeline attempted intruder arrested at drake s toronto home police say, 3. the benefits aren’t worth the effort.

Concerned about disrupting business-critical processes, some businesses might conclude that the benefits of cloud migration aren’t worth the effort. However, healthcare is just one example of an industry where cloud migration can transform many legacy manual processes into automated workflows, resulting in cost savings and innovation while providing a scalable and flexible infrastructure for responding to market shifts as well as unexpected events and disruptions. - Eron Kelly , Inovalon

4. Internal IT Loses Essential Control

There’s a myth that internal IT loses data and control in the cloud. Shifting solutions to the cloud frees up IT’s internal resources for mission-critical efforts and offers levels of security far beyond the limited capacity of internal teams. And since business units are typically hosted on elastic cloud-based infrastructures, IT teams can better manage costs while also eliminating significant capital upgrades. - Brian Haines , FM:Systems

5. It’s Not Well-Secured

The most common myth about the cloud is that it is not secure. Some businesses hesitate to fully leverage the cloud due to concerns about data security and privacy. However, the reality is that reputable cloud service providers invest heavily in security measures and protocols to protect their users’ data. - Kirimgeray Kirimli , Flatiron Software Corporation

6. You Can Shift Any Process As-Is

One of the common mistakes organizations make is moving their existing business processes exactly as they are to the cloud. This typically results in migrations not meeting expectations. The cloud should be considered as a platform for new business models and/or generating operational efficiency by changing business processes. For example, a data-platform or data-product approach will help businesses leverage the cloud better. - Rajaneesh Kini , Cyient Ltd .

7. The Cloud Is A Redundant And Secure Solution

The cloud has been historically marketed as redundant and secure by nature. However, as we have seen from outages and cyberattacks since the cloud’s introduction, companies looking for a secure and redundant solution should understand that the cloud is a foundation. They will need to build on top of it rather than thinking it will be redundant and secure out of the box. - Robert Giannini , GiaSpace Inc .

8. Cost Savings Are Guaranteed

There’s a misconception that migrating to the cloud guarantees cost savings. But managing the cost of cloud computing is an ongoing challenge. Surveys consistently reveal that companies overshoot their cloud budgets or pay for capacity they’re not using. That’s why ongoing optimization strategies, especially those focused on application footprint, are crucial for cloud deployment success. - Scott Sellers , Azul

9. Your Workload Must Be Multicloud-Ready

There’s a myth that your workload needs to be multicloud-ready or you might face vendor lock-in. Multicloud readiness absolutely delivers scalability and resilience to your business and operations, but it might increase the cost of operations. The concern about being locked in with a single cloud service provider is exaggerated, as no CSP is taking your business for granted. - Shailaja Shankar , Cisco

10. Multicloud Requires Special Gateway Devices

Many organizations are told that their multicloud setup needs special gateway devices in each cloud environment, which is overly complex and may counteract some of the key advantages of using the cloud in the first place. A better solution is both app-centric and network-centric, with a cloud-native approach to deliver the agility enterprises are after. - Ramesh Prabagaran , Prosimo.io

11. A ‘Lift And Shift’ Approach Is Effective

Adopting a “lift and shift” approach to cloud migration overlooks the critical challenges of data fragmentation and disconnected datasets. To ensure a successful transition, organizations need a comprehensive data strategy that includes planning for seamless integrations, interoperability and the unification of data models, laying a solid foundation for efficient and effective cloud operations. - Trisha Swift , Mula Integrative Health & Wellness

12. The Cloud Costs More Over Time

Myth: Cloud computing is more expensive over time than running workloads on-premises. Fact: Cloud computing can be expensive if solutions are not well-designed and managed. Some things will be more cost-effective to run on-premises. However, a well-architected solution running in the cloud can save a company money in the long run, as well as provide other benefits such as scalability and high availability. - Dara Warn , INE

13. The Cloud Protects You From Outages

Many believe they’re protected against outages simply because they’re hosted on AWS or Microsoft Azure. While standard cloud implementation achieves hardware resiliency, many haven’t established geo-redundancy, leaving clients at risk during regional internet outages or local data center failures. Critical applications must be hosted in at least two data centers, and load balancers should be employed for uptime. - Tobias Casey , Anteris

14. Cloud Storage Is Infinitely Scalable

A common myth is that cloud storage is infinitely scalable at no extra cost. The truth is, while the cloud offers scalability, costs can grow significantly with usage. Effective management and understanding of cloud service models are essential to optimizing benefits and controlling expenses, preventing unexpected budget overruns. - Adrien Nejkovic , Hearst Solution

15. Cloud Solutions Are One-Size-Fits-All

There’s a myth that the cloud is one-size-fits-all. Your cloud strategy should be customized to your business, market and size. Without this customization, businesses overlook chances to optimize efficiency, security and cost-effectiveness, thus impeding the full potential of cloud technology. - Christoffer Bouet , Contribe

16. You Should Stick To Your Cloud Provider’s Software Services

I often hear company leaders say that since they are already working with a cloud provider, it would be easiest to obtain other software services from that cloud provider. However, the truth is that by adding more services from the same cloud provider, you’re more likely to get locked in with that provider. Whenever possible, companies should consider third-party services that can be hosted by their chosen cloud providers. - Advait Ruia , SuperTokens, Inc .

17. Cloud-Based SaaS Apps Are Inherently Safe

Cloud-based software as a service apps create tons of value and enable greater efficiency. However, they also introduce a much larger attack surface for a security team to manage. It is critical to invest in the ability to monitor your data in motion between the SaaS apps your company licenses. Doing so will enable the security team to more quickly identify and remediate potential security incidents. - Amir Khayat , Vorlon Inc.

18. Once Migration Is Done, Your Work Is Done

A common myth is that once you’ve migrated to the cloud, there’s minimal effort required to manage it. The reality is different. A business needs to be mindful of whether its use case is suitable for migration to the cloud versus being kept on-premises. Being aware of the costs of operating a cloud workload, keeping it secure, managing cloud security posture management vendors, and maintaining a specialized talent pool are all essential for success. - Kris Lahiri , Egnyte

19. The Cloud Is Free And ‘Just Works’

The cloud requires IT teams and engineers to maintain it to ensure it is continuously working; one cannot just “move to the cloud" and expect things to just miraculously stay up and running. So if a business is considering moving to the cloud or leveraging cloud services, it will also have to invest in building a team of technical personnel to ensure the move provides business value. - Ken Kao , Rad AI

20. Cloud Security Is Solely The Provider’s Responsibility

The myth that cloud security is solely the provider’s responsibility hinders its effective use. In reality, securing cloud data is a shared task. Cloud providers offer robust security, but users must protect their data. Data security posture management enables proactive data protection in the cloud. It involves visibility, classification and control of data access, enabling wiser cloud use. - Ravi Ithal , Normalyze

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Professional Cloud Architect

Certification exam guide

A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. The Cloud Architect should be proficient in all aspects of enterprise cloud strategy, solution design, and architectural best practices. The Cloud Architect should also be experienced in software development methodologies and approaches including multi-tiered distributed applications which span multicloud or hybrid environments.

Case studies

During the exam for the Cloud Architect Certification, some of the questions may refer you to a case study that describes a fictitious business and solution concept. These case studies are intended to provide additional context to help you choose your answers. Review the case studies that may be used in the exam.

EHR Healthcare

Helicopter Racing League

Mountkirk Games

TerramEarth

Section 1: Designing and planning a cloud solution architecture (~24% of the exam)

1.1 Designing a solution infrastructure that meets business requirements. Considerations include:

    ●  Business use cases and product strategy

    ●  Cost optimization

    ●  Supporting the application design

    ●  Integration with external systems

    ●  Movement of data

    ●  Design decision trade-offs

    ●  Build, buy, modify, or deprecate

    ●  Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

    ●  Compliance and observability

1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:

    ●  High availability and failover design

    ●  Elasticity of cloud resources with respect to quotas and limits

    ●  Scalability to meet growth requirements

    ●  Performance and latency

1.3 Designing network, storage, and compute resources. Considerations include:

    ●  Integration with on-premises/multicloud environments

    ●  Cloud-native networking (VPC, peering, firewalls, container networking)

    ●  Choosing data processing technologies

    ●  Choosing appropriate storage types (e.g., object, file, databases)

    ●  Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)

    ●  Mapping compute needs to platform products

1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:

    ●  Integrating solutions with existing systems

    ●  Migrating systems and data to support the solution

    ●  Software license mapping

    ●  Network planning

    ●  Testing and proofs of concept

    ●  Dependency management planning

1.5 Envisioning future solution improvements. Considerations include:

    ●  Cloud and technology improvements

    ●  Evolution of business needs

    ●  Evangelism and advocacy

Section 2: Managing and provisioning a solution infrastructure (~15% of the exam)

2.1 Configuring network topologies. Considerations include:

    ●  Extending to on-premises environments (hybrid networking)

    ●  Extending to a multicloud environment that may include Google Cloud to Google Cloud communication

    ●  Security protection (e.g. intrusion protection, access control, firewalls)

2.2 Configuring individual storage systems. Considerations include:

    ●  Data storage allocation

    ●  Data processing/compute provisioning

    ●  Security and access management

    ●  Network configuration for data transfer and latency

    ●  Data retention and data life cycle management

    ●  Data growth planning

2.3 Configuring compute systems. Considerations include:

    ●  Compute resource provisioning

    ●  Compute volatility configuration (preemptible vs. standard)

    ●  Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, serverless networking)

    ●  Infrastructure orchestration, resource configuration, and patch management

    ●  Container orchestration

Section 3: Designing for security and compliance (~18% of the exam)

3.1 Designing for security. Considerations include:

    ●  Identity and access management (IAM)

    ●  Resource hierarchy (organizations, folders, projects)

    ●  Data security (key management, encryption, secret management)

    ●  Separation of duties (SoD)

    ●  Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)

    ●  Managing customer-managed encryption keys with Cloud Key Management Service

    ●  Remote access

3.2 Designing for compliance. Considerations include:

    ●  Legislation (e.g., health record privacy, children’s privacy, data privacy, and ownership)

    ●  Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])

    ●  Industry certifications (e.g., SOC 2)

    ●  Audits (including logs)

Section 4: Analyzing and optimizing technical and business processes (~18% of the exam)

4.1 Analyzing and defining technical processes. Considerations include:

    ●  Software development life cycle (SDLC)

    ●  Continuous integration / continuous deployment

    ●  Troubleshooting / root cause analysis best practices

    ●  Testing and validation of software and infrastructure

    ●  Service catalog and provisioning

    ●  Business continuity and disaster recovery

4.2 Analyzing and defining business processes. Considerations include:

    ●  Stakeholder management (e.g. influencing and facilitation)

    ●  Change management

    ●  Team assessment / skills readiness

    ●  Decision-making processes

    ●  Customer success management

    ●  Cost optimization / resource optimization (capex / opex)

4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)

Section 5: Managing implementation (~11% of the exam)

5.1 Advising development/operation teams to ensure successful deployment of the solution. Considerations include:

    ●  Application development

    ●  API best practices

    ●  Testing frameworks (load/unit/integration)

    ●  Data and system migration and management tooling

5.2 Interacting with Google Cloud programmatically. Considerations include:

    ●  Google Cloud Shell

    ●  Google Cloud SDK (gcloud, gsutil and bq)

    ●  Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)

Section 6: Ensuring solution and operations reliability (~14% of the exam)

6.1 Monitoring/logging/profiling/alerting solution

6.2 Deployment and release management

6.3 Assisting with the support of deployed solutions

6.4 Evaluating quality control measures

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