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Top 24 Cloud Computing Examples Seen in Real Life

Created by Aditya in Cloud Computing 20 Nov 2024
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«What is Cloud Computing?

Cloud computing has become integral to our daily lives, transforming how we communicate, work, and access information. From streaming services like Netflix to collaborative tools such as Google Docs, cloud technology enhances convenience and efficiency.

This article will look at various examples of cloud computing applications that you see in your everyday life, illustrating its widespread impact across different sectors and how it simplifies tasks for individuals and businesses alike.

What is Cloud Computing Example

There are multiple cloud computing examples in different scenarios. Here are some cloud computing application examples:

● Software as a Service (SaaS): Salesforce, Zoom, and Slack.

● Infrastructure as a Service (IaaS): Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud. 

● Platform as a Service (PaaS): Google App Engine, Heroku.

● File Sharing and Data Storage: Google Drive, Dropbox.

● Big Data Analytics: Datadog, Collibra.

● Cloud Computing in Education: SlideRocket, AWS for Education.

● Cloud Computing in Healthcare: ClearDATA, Dell’s Secure Healthcare Cloud.

IAAS, PAAS, and SAAS Examples of Cloud Computing

Cloud computing offers various services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Common uses include data storage, application hosting, and software development.

Popular applications like Google Drive, Microsoft Azure, and Amazon Web Services exemplify how businesses leverage cloud solutions for efficiency and scalability.

The table below shows 24 examples of cloud computing in IaaS, PaaS, SaaS, Hosting, Data Analytics and many more:


CategoryPopular Service/PlatformDescription
Infrastructure as a Service (IaaS)Amazon Web Services (AWS)Comprehensive cloud platform with computing, storage, and networking options.
Microsoft AzureCloud services for building, testing, and deploying applications.
Google Cloud Platform (GCP)Offers computing resources, data storage, and machine learning tools.
Platform as a Service (PaaS)HerokuA platform for deploying, managing, and scaling applications.
Google App EngineScalable web application hosting on Google’s infrastructure.
Microsoft Azure App ServiceBuild and host web apps and APIs in various languages.
Software as a Service (SaaS)Google WorkspaceCloud-based productivity and collaboration tools (Gmail, Docs, Drive).
Microsoft 365Cloud versions of Microsoft Office applications.
SalesforceLeading CRM platform for sales and customer service.
Cloud StorageDropboxFile storage, synchronization, and sharing service.
Google DriveIntegrated cloud storage with Google apps.
Amazon S3Scalable object storage for backup and archival.
Cloud Backup and RecoveryBackblazeAutomated backup service for personal and business data.
AcronisBackup and disaster recovery solutions.
CarboniteCloud backup services for individuals and businesses.
Cloud HostingDigitalOceanDeveloper-friendly cloud hosting with scalable options.
LinodeAffordable cloud hosting with virtual servers.
VultrCloud computing with a focus on performance and flexibility.
Collaboration ToolsGitHubVersion control and collaboration platform for developers.
SlackMessaging platform for team collaboration and communication.
TrelloVisual project management tool using boards and cards.
Machine Learning and AI ServicesAWS SageMakerIntegrated development environment for building ML models.
Google AI PlatformTools for developing and deploying AI applications.
IBM WatsonAI and machine learning tools for various applications.

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Examples of Software as a Service(SaaS) in Cloud Computing

Software as a Service (SaaS) is a cloud computing model that delivers applications over the Internet, allowing users to access software without installation.

Common examples of cloud computing as SaaS are:

1. Microsoft 365

● Overview: A cloud-based suite of productivity tools that includes applications such as Word, Excel, PowerPoint, Outlook, and Teams. It allows users to collaborate in real time, store documents in the cloud (OneDrive), and access them from anywhere on any device.

Use Case: Businesses and individuals use Microsoft 365 for day-to-day tasks like document creation, email communication, virtual meetings, and file sharing. The cloud-based nature allows teams to collaborate regardless of location.

2. Slack

Overview: A messaging platform that facilitates team communication through channels, direct messaging, and integration with other software. Slack is fully hosted in the cloud and is a popular tool for remote teams.

Use Case: Teams use Slack to streamline internal communications, organize project discussions into specific channels, and integrate with other apps like Google Drive or Jira for seamless workflow.

3. Zoom


Overview: A cloud-based video conferencing platform that allows users to hold virtual meetings, webinars, and online collaboration sessions. It offers screen sharing, recording, and breakout rooms for smaller group discussions.

Use Case: Businesses, educators, and individuals use Zoom for virtual meetings, remote work, online classes, and conferences. Its cloud infrastructure allows it to scale quickly to handle millions of users globally.

Examples of Infrastructure-as-a-Service (IaaS) In Cloud Computing

Infrastructure as a Service (IaaS) is a cloud computing model that provides virtualized computing resources over the Internet. Users can access essential infrastructure components like servers, storage, and networking on a pay-as-you-go basis.

Popular examples of such Cloud Service Providers are:

1. Google Cloud Platform (GCP)

Overview: Google Cloud Platform is a suite of cloud computing services that offer scalable infrastructure for running applications, storing data, and deploying machine learning models. GCP includes Compute Engine (virtual machines), Cloud Storage, and BigQuery for analytics.

Use Case: Enterprises use GCP for hosting their websites, processing large-scale data analytics, and running machine learning applications. It’s also used for managing high-traffic workloads with automatic scaling.

2. Amazon Web Services (AWS)

Overview: Amazon Web Services is one of the most comprehensive cloud infrastructure providers, AWS offers computing power, storage, and networking resources on demand. Popular services include EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and Lambda (serverless computing).

Use Case: Companies use AWS for hosting their infrastructure, including web servers, databases, and big data analysis. It is also widely used for disaster recovery, content delivery, and data storage.

3. IBM Cloud

Overview: A cloud platform offering virtual machines, storage, networking, and AI-powered services. It supports both public and private cloud environments, making it ideal for hybrid cloud strategies.

Use Case: IBM Cloud is used by enterprises for deploying mission-critical applications, AI models, and blockchain technologies, especially in sectors like healthcare and finance where security is critical.

Examples of Platform-as-a-Service (PaaS) in Cloud Computing

Platform as a Service (PaaS) is a cloud computing model that provides a framework for developers to build, deploy, and manage applications without worrying about underlying infrastructure.

Popular examples of cloud computing applications for PaaS include:

1. Google App Engine

Overview: A fully managed platform that allows developers to build and deploy applications without worrying about underlying infrastructure like servers, storage, or networking. It supports multiple programming languages like Python, Java, and Node.js.

Use Case: Startups and developers use Google App Engine to build and deploy scalable web apps and mobile backends without the overhead of managing physical servers.

2. Microsoft Azure App Services

Overview: A platform for building, deploying, and scaling web apps and APIs in the cloud. Azure App Services handles everything from security patches to auto-scaling and integrates with other Azure services like databases and AI tools.

Use Case: Companies use Azure App Services to build and scale enterprise-level web applications, ensuring high availability and security without the need for complex infrastructure management.

3. Heroku

Overview: A cloud platform that allows developers to build, run, and operate applications entirely in the cloud. Heroku focuses on ease of use, supporting a range of programming languages and offering a marketplace of add-ons for databases, monitoring, and more.

Use Case: Small to medium businesses and developers use Heroku to deploy web applications quickly and scale them based on user demand without worrying about infrastructure management.

Cloud Storage Examples

These platforms provide secure access to documents, photos, and videos from any device, enhancing collaboration and productivity in daily life. Additionally, public cloud storage solutions enable seamless backup and recovery options, ensuring data is safe and accessible whenever needed.

Best Known examples are:

1. Google Drive

Overview: A cloud-based storage service that allows users to store files, share them with others, and collaborate on documents in real-time. It’s fully integrated with other Google services like Docs, Sheets, and Slides.

Use Case: Businesses and individuals use Google Drive to store and share documents, spreadsheets, and presentations, with real-time collaboration for teams.

2. OneDrive (Microsoft)

Overview: A cloud storage service provided by Microsoft that integrates with Microsoft 365 applications. It allows users to store, share, and synchronize files across multiple devices.

Use Case: Users of Microsoft Office apps store and share files using OneDrive, accessing them from any device and collaborating on documents with team members.

3. Box

Overview: A cloud content management and file-sharing platform designed for businesses, particularly large enterprises. It provides advanced security, compliance, and administrative controls over document access and sharing.

Use Case: Enterprises use Box to manage and securely share sensitive documents across departments, collaborate on projects, and integrate with enterprise software like Salesforce and Microsoft 365.

Cloud Application Examples for Data Analysis

Big Data analysis in cloud computing has transformed how organizations process and extract insights from vast amounts of data.

Here are some examples of cloud offering big data analysis:

1. Cloudera

Overview: An enterprise data cloud platform that provides tools for managing and analyzing large volumes of data. It offers services like data warehousing, machine learning, and real-time analytics.

Use Case: Organizations in industries like healthcare, finance, and manufacturing use Cloudera to analyze large datasets for insights that drive decision-making, predictive modeling, and business optimization.

2. Google BigQuery

Overview: A fully managed and serverless data warehouse designed for big data analytics. BigQuery allows organizations to analyze petabytes of data using SQL queries with no need for infrastructure management.

Use Case: Companies use BigQuery for real-time data analysis, machine learning, and reporting on large datasets, enabling faster decision-making.

3. Apache Hadoop

Overview: An open-source framework for distributed storage and processing of large datasets. Hadoop uses a network of computers to store and process data, making it highly scalable and efficient for big data workloads.

Use Case: Organizations use Hadoop for managing massive amounts of data, including structured and unstructured data, for tasks like data mining, machine learning, and predictive analytics.

Cloud Service Examples in Data Governance

Data governance in cloud computing refers to the policies and processes that ensure data is secure, accurate, and compliant with regulations. It plays a crucial role in managing how data is stored, accessed, and utilized within cloud environments.

Some popular data governance cloud services examples include:

1. Veeam

Overview: Provides cloud-based data backup, recovery, and management services. Veeam helps organizations ensure that their data is always available and protected from ransomware or other disasters.

Use Case: Companies use Veeam to implement disaster recovery strategies, manage backups, and ensure that critical data is protected and can be restored quickly in case of a failure.

2. Collibra

Overview: A data governance platform that helps organizations maintain data quality, security, and compliance across different business units. It provides tools for cataloging data, managing workflows, and tracking compliance.

Use Case: Enterprises use Collibra to ensure that their data complies with regulations like GDPR, HIPAA, and CCPA, and to maintain consistent data standards across departments.

3. Informatica

Overview: Provides data integration, data governance, and data quality tools for enterprises. Informatica helps organizations ensure that their data is accurate, secure, and used in compliance with industry standards.

Use Case: Organizations use Informatica to integrate data from multiple sources, manage data pipelines, and ensure the quality of the data used in analytics and decision-making.

Cloud Cybersecurity Examples

Cybersecurity in cloud computing is essential for protecting sensitive data and maintaining trust in digital services. Various cloud platforms offer robust security features to safeguard against threats.

1. Palo Alto Networks

Overview: Palo Alto Networks cybersecurity company offering cloud-based security solutions, including firewalls, intrusion detection systems, and threat intelligence. It helps protect businesses from cyber threats across cloud, network, and endpoint environments.

Use Case: Enterprises use Palo Alto Networks to secure their cloud environments, prevent data breaches, and monitor for cyber threats in real-time.

2. CrowdStrike

Overview: A cloud-native endpoint security platform that provides threat detection, incident response, and prevention of cyberattacks. It uses AI to detect suspicious behavior across networks.

Use Case: Companies use CrowdStrike to protect their devices and networks from malware, ransomware, and advanced persistent threats, ensuring cybersecurity across all endpoints.

3. Okta

Overview: A cloud-based identity and access management service that helps organizations manage user authentication and secure access to applications. It ensures that the right people have access to the right resources.

Use Case: Enterprises use Okta to manage employee access to company resources, implement multi-factor authentication, and secure customer logins to their web applications.

Conclusion

In summary, cloud computing has transformed how businesses operate by offering flexible, scalable, and cost-effective solutions across various domains.

From SaaS tools like Salesforce and Microsoft 365 to IaaS providers like AWS and DigitalOcean, and PaaS platforms like Google App Engine, the cloud simplifies infrastructure, software deployment, and data management.

Additionally, services for file storage (Dropbox), big data analysis (Civis Analytics), data governance (Carbonite), and cybersecurity (Forcepoint) enhance business operations and security. Cloud technology is becoming indispensable across industries, driving innovation and efficiency.

Understanding different cloud computing examples will help you understand the dependencies of cloud technology and how we are surrounded by cloud applications.

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FAQ

Yes, Google is an example of cloud computing through its various services, including Google Cloud Platform.
An example of cloud computing is file storage solutions like Google Drive.
PaaS (Platform as a Service) provides platforms for application development and deployment. Examples include Google App Engine and Microsoft Azure.
Forcepoint and CrowdStrike are examples of cloud cybersecurity providers, offering protection against threats such as malware, ransomware, and data breaches.
Cloud computing is typically divided into three main categories: 1. Software-as-a-Service (SaaS): Software is delivered over the internet, eliminating the need for local installation. Example: Salesforce, Microsoft 365. 2. Infrastructure-as-a-Service (IaaS): Provides virtualized computing resources like servers, storage, and networking. Example: AWS, DigitalOcean. 3. Platform-as-a-Service (PaaS): Provides a platform for developers to build, deploy, and manage applications without worrying about underlying infrastructure. Example: AWS Elastic Beanstalk, Google App Engine.

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