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1. Learn how clouds form

2. learn about types of clouds, 3. learn how to identify types of clouds, 4. make cloud (and weather) observations, 5. identify the types of clouds you see, 6. help nasa scientists, 7. look for patterns in the weather, 8. get creative.

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The Types of Clouds and What They Mean

Have you ever looked up at the clouds and wondered what gives them different shapes, sizes and colors? Put yourself in the shoes of NASA scientists as you learn about different cloud types and how they form. Then, make your own cloud observations and record what you see. You can even share your observations with NASA cloud scientists to help them with their research!

(Optional) Globe Observer smartphone app

(Optional) thermometer

(Optional) barometer

(Optional) graph paper (for graphing temperature and/or pressure measurements)

Illustration showing what clouds are made up of

Looking up at the sky you’ve probably noticed clouds. While clouds are similar in many ways, there are lots of different types and they form in different ways. Learn more about clouds and how they form on NASA Climate Kids .

Poster describing the types of clouds

Read the list below to learn about the different types of clouds, what they look like and where they appear in the sky. Or download and print out this chart (also available en Español )

High Altitude

  • Cirrocumulus – High clouds with a puffy, patchy appearance and small spaces between clouds. Often form wave-like patterns.
  • Cirrostratus – High clouds, light gray or white, often thin with the Sun or Moon seen through them. Usually cover much of the sky.
  • Cirrus – High clouds, thin wispy and feathery, composed of ice crystals.

Middle Altitude

  • Altocumulus – Middle clouds with a puffy, patchy appearance, usually with spaces between clouds.
  • Altostratus – Middle clouds, light gray and uniform in appearance, generally covering most of the sky.

Low Altitude

  • Nimbostratus – Low and middle dark gray clouds with precipitation falling from them. Bases are diffuse and difficult to determine because of falling precipitation.
  • Cumulus – Low clouds. Clouds appear puffy and look like cotton balls, popcorn or cauliflower.
  • Stratus – Low clouds, light or dark gray and generally uniform in appearance and covering most of the sky. Fog is a stratus cloud.
  • Stratocumulus – Low clouds with irregular masses of clouds, rolling or puffy in appearance, sometimes with space between the clouds.
  • Cumulonimbus – Large clouds with dark bases and tall billowing towers. Can have sharp well defined edges or an anvil shape at the top. Precipitation can obscure the base of the clouds. Clouds can be accompanied by thunder.

dichotomous key worksheet for clouds

A dichotomous key is a tool scientists (and you!) can use to identify things in nature by answering yes or no questions. You can use this dichotomous key to identify types of clouds .

A view through a window of a blue sky with puffy clouds

Go outside or look out the window toward the sky to begin observations. If you have a thermometer, measure the temperature and write it down. If you have a barometer, measure the air pressure and write it down.

A hand points up to a puffy cloud in a bright blue sky

Answer the questions on this dichotomous key to identify what types of clouds are in the sky. Make a note about what kinds of clouds you see.

Person holding up a phone with the Globe Observer App Clouds tool on the screen

You can help NASA scientists studying clouds! Just complete this Cloud Observations Report Form . If you need help, ask an adult to join you in your observations.

Then, upload the information you collected to the Globe Observer App using the Clouds tool. Your observations will help scientists confirm similar measurements made by satellites orbiting Earth.

Repeat Steps 4 and 5 for several days in a row or throughout the year. You can learn even more about clouds and how they relate to the weather by tracking temperature, pressure and cloud data over time.

Photo of someone assembling the cloud mobile from NASA Space Place

Head over the NASA Space Place website to find out how to make this cloud mobile !

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Cloud Types PowerPoint and Activity Sheets

Cloud Types PowerPoint and Activity Sheets

Subject: Geography

Age range: 7-11

Resource type: Worksheet/Activity

Project science

Last updated

22 January 2024

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different types of cloud presentation

A fully editable 16 slide PowerPoint presentation on different types of clouds. Includes a bonus activity sheet and word search.

Covers following topics: ➸ How clouds form. ➸ How clouds are classified. ➸ 8 different cloud types:

  • altocumulus
  • altostratus
  • cirrocumulus
  • stratocumulus
  • cumulonimbus ➸ 2 Embedded videos cloud formation and cloud spotting.

Includes the following bonus resources: ➸ Activity sheet with word puzzle, labelling activity and gap fill. ➸ Cloud types word search.

Clipart by: Educlips

Ron Leishman Digital Toonage ToonClipart

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Cloud Computing Powerpoint Presentation Slides

Cloud computing service provides your organization with flexibility in the work by giving immense benefits to the company. Grab our insightfully designed Cloud Computing ppt templates. It provides a brief overview of the company, its core values, the types of businesses they assist, and the benefits of cloud storage. Our Cloud computing deck also includes an introduction to cloud storage architecture, including generic architecture, levels of architecture, cloud storage access methods, cloud scalability, and cloud storage models. Additionally, it incorporates the different types of cloud storage services and the various uses for cloud storage, such as data backup and recovery, software testing and development, compliance, big data, and data lakes. Lastly, the Cloud Storage PPT addresses data transfer to the cloud and data backup strategies. Get immediate access.

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Content of this Powerpoint Presentation

Slide 1 : This slide introduces Cloud Computing. Commence by stating Your Company Name. Slide 2 : This slide depicts the Agenda of the presentation. Slide 3 : This slide incorporates the Table of contents. Slide 4 : This is yet another slide continuing the Table of contents. Slide 6 : This slide presents the Overview of the cloud storage company. Slide 7 : This slide states the Core values of the organization. Slide 8 : This slide describes the types of business the company supports. Slide 9 : This slide depicts cloud storage benefits for businesses. Slide 10 : This slide elucidates the Heading for the Contents to be discussed next. Slide 11 : This slide describes why organizations choose cloud storage firm as their cloud storage service provider. Slide 12 : This slide showcases the cloud storage security by describing the various security measures taken by the company. Slide 13 : This slide shows the Open source cloud storage service. 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Slide 24 : This slide exhibits the cons of the cloud storage services such as security issues, latency issues, etc. Slide 25 : This slide portrays the Heading for the Ideas to be covered further. Slide 26 : This slide describes the architecture of cloud storage, the technology it's built on, scalability, etc. Slide 27 : This slide highlights the different levels of cloud storage architecture. Slide 28 : This slide talks about the Generic cloud storage architecture. Slide 29 : This slide depicts the cloud storage access methods. Slide 30 : This slide represents the scalability of the company’s cloud storage, flexibility to scale up and down, etc. Slide 31 : This slide deals with the Distribution of cloud sites for data availability. Slide 32 : This slide shows the Models of cloud storage. Slide 33 : This slide indicates the Title for the Components to be discussed further. Slide 34 : This slide describes the public cloud storage service, its administrative method, and its various advantages. Slide 35 : This slide exhibits the Private cloud storage service. Slide 36 : This slide talks about the Hybrid cloud storage service. Slide 37 : This slide displays the community cloud storage service, its members, and advantages. Slide 38 : This slide reveals the Heading for the Topics to be covered next. Slide 39 : This slide focuses on the Cloud storage for backup and recovery. Slide 40 : This slide elucidates the Cloud storage for software test and development. Slide 41 : This slide provides information about the Cloud storage for cloud data migration. Slide 42 : This slide depicts the use of cloud storage services for data compliance through compliance controls, WORM restrictions, and audit log solutions. Slide 43 : This slide talks about the Cloud storage for big data and data lakes. 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Slide 54 : This slide reveals the Timeline for data migration cloud storage. Slide 55 : This slide illustrates the Dashboard for cloud storage tracking. Slide 56 : This slide represents the dashboard for cloud storage tracking by covering details of users, available workspaces, shared files, etc. Slide 57 : This is the Icons slide containing all the Icons used in the plan. Slide 58 : This slide is used to showcase some Additional information. Slide 59 : This slide presents the Column chart. Slide 60 : This is the Idea Generation slide for encouraging fresh ideas. Slide 61 : This slide elucidates the Comapny Timeline. Slide 62 : This is the Puzzle slide with related imagery. Slide 63 : This slide contains the Post it notes for reminders and deadlines. Slide 64 : This slide is used for the purpose of Comparison. Slide 65 : This is the Venn Diagram slide. Slide 66 : This is Our goal slide. State your organizational goals here. Slide 67 : This is the Thank you slide for acknowledgement.

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Cloud Computing Powerpoint Presentation Slides

Cloud storage in the healthcare industry provides various benefits, including cost-effectiveness, improved accessibility to patient records, increased data security, and easy data backup and recovery.

Public cloud storage service offers advantages like cost savings, scalability, flexibility, easy access to resources, and reduced need for infrastructure maintenance.

The cons of cloud storage services include potential security issues, latency issues, dependency on internet connectivity, data privacy concerns, and limited control over data management.

The different models of cloud storage include public cloud, private cloud, hybrid cloud, and community cloud.

Cloud storage architecture works by using a network of servers that store and manage data. The architecture typically includes multiple layers, including the front-end, back-end, and storage layer, and it can be scaled up or down based on demand.

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types of clouds

Types of Clouds

Apr 06, 2019

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Types of Clouds. What’s the Weather?. Cirrus, Cirrocumulus and Cirrostratus (high 5000-16,000 m). thin and often wispy composed of ice crystals that originate from the freezing of supercooled water droplets.

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  • light precipitation
  • supercooled water droplets
  • wispy streamers
  • cumulus clouds

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Presentation Transcript

Types of Clouds What’s the Weather?

Cirrus, Cirrocumulus and Cirrostratus(high 5000-16,000 m) • thin and often wispy • composed of ice crystals that originate from the freezing of supercooled water droplets. • Generally occur in fair weather and point in the direction of air movement at their elevation.

Cirrus • They are made of ice crystals and have long, thin, wispy streamers. • Cirrus clouds are usually white and predict fair weather.

Cirrocumulus • They are small rounded puffs that usually appear in long rows. • Cirrocumulus are usually white, but sometimes appear gray. • Cirrocumulus are usually seen in the winter time and mean that there will be fair, but cold weather.

Cirrostratus • Sheetlike thin clouds that usually cover the entire sky. • Cirrostratus clouds usually come 12-24 hours before a rain or snow storm.

Altocumulus and Altostratus(middle 2,000 to 7, 000 m) • Middle clouds are made of ice crystals and water droplets. • The base of a middle cloud above the surface can be anywhere from 2000-8000m in the tropics to 2000-4000m in the polar regions. An

Altocumulus • They are grayish-white with one part of the cloud darker than the other. • Usually form in groups. • If you see altocumulus clouds on a warm sticky morning, then expect thunderstorms by late afternoon.

Altostratus • An altostratus cloud usually covers the whole sky. • The cloud looks gray or blue-gray. • Usually forms ahead of storms that have a lot of rain or snow. Sometimes, rain will fall from an altostratus cloud. • If the rain hits the ground, then the cloud is called a nimbostratus cloud.

Stratus, Nimbostratus and Stratocumulus(low surface to 2000 m) • Low clouds are made up of water droplets. The base of a low cloud is from the ground to 2000m.

Stratus • They are gray and can cover most or all of the sky (like a big blanket). • Stratus clouds sometimes produce light mist or drizzle.

Stratocumulus • Low, lumpy, and gray. • Only light precipitation, usually drizzle, occurs with stratocumulus clouds.

Nimbostratus • They are dark gray with a ragged base. • Produce rain or snow. • Sometimes they cover the whole sky and you can't see the edges of the cloud.

Clouds with Vertical DevelopmentCumulus and Cumulonimbus(surface to 13,000 m) • The clouds develop by warm air rising from the surface. Cumulus and Cumulonimbus clouds provide the most interesting and severe weather to our planet.

Cumulus • Puffy white or light gray clouds that look like floating cotton balls. • Cumulus clouds have sharp outlines and a flat base. • Seeing cumulus clouds in the sky can mean the weather will be good or bad.

Cumulonimbus • Known as thunderstorm clouds. • Can grow up to 10km high. • High winds make the top of the cloud flat. • Cumulonimbus clouds can produce heavy rain, hail, lightning, and tornadoes.

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Illustration showing how cloud computing enables access to intranet-based infrastructure and applications

Published: 14 February 2024 Contributors: Stephanie Susnjara, Ian Smalley

Cloud computing is the on-demand access of computing resources—physical servers or virtual servers, data storage, networking capabilities, application development tools, software, AI-powered analytic tools and more—over the internet with pay-per-use pricing.

The cloud computing model offers customers greater flexibility and scalability compared to traditional on-premises infrastructure.

Cloud computing plays a pivotal role in our everyday lives, whether accessing a cloud application like Google Gmail, streaming a movie on Netflix or playing a cloud-hosted video game.

Cloud computing has also become indispensable in business settings, from small startups to global enterprises. Its many business applications include enabling remote work by making data and applications accessible from anywhere, creating the framework for seamless omnichannel customer engagement and providing the vast computing power and other resources needed to take advantage of cutting-edge technologies like generative AI and quantum computing . 

A cloud services provider (CSP) manages cloud-based technology services hosted at a remote data center and typically makes these resources available for a pay-as-you-go or monthly subscription fee.

Read how Desktop as a service (DaaS) enables enterprises to achieve the same level of performance and security as deploying the applications on-premises.

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Compared to traditional on-premises IT that involves a company owning and maintaining physical data centers and servers to access computing power, data storage and other resources (and depending on the cloud services you select), cloud computing offers many benefits, including the following:

Cloud computing lets you offload some or all of the expense and effort of purchasing, installing, configuring and managing mainframe computers and other on-premises infrastructure. You pay only for cloud-based infrastructure and other computing resources as you use them. 

With cloud computing, your organization can use enterprise applications in minutes instead of waiting weeks or months for IT to respond to a request, purchase and configure supporting hardware and install software. This feature empowers users—specifically DevOps and other development teams—to help leverage cloud-based software and support infrastructure.

Cloud computing provides elasticity and self-service provisioning, so instead of purchasing excess capacity that sits unused during slow periods, you can scale capacity up and down in response to spikes and dips in traffic. You can also use your cloud provider’s global network to spread your applications closer to users worldwide.

Cloud computing enables organizations to use various technologies and the most up-to-date innovations to gain a competitive edge. For instance, in retail, banking and other customer-facing industries, generative AI-powered virtual assistants deployed over the cloud can deliver better customer response time and free up teams to focus on higher-level work. In manufacturing, teams can collaborate and use cloud-based software to monitor real-time data across logistics and supply chain processes.

The origins of cloud computing technology go back to the early 1960s when  Dr. Joseph Carl Robnett Licklider  (link resides outside ibm.com), an American computer scientist and psychologist known as the "father of cloud computing", introduced the earliest ideas of global networking in a series of memos discussing an Intergalactic Computer Network. However, it wasn’t until the early 2000s that modern cloud infrastructure for business emerged.

In 2002, Amazon Web Services started cloud-based storage and computing services. In 2006, it introduced Elastic Compute Cloud (EC2), an offering that allowed users to rent virtual computers to run their applications. That same year, Google introduced the Google Apps suite (now called Google Workspace), a collection of SaaS productivity applications. In 2009, Microsoft started its first SaaS application, Microsoft Office 2011. Today,  Gartner predicts  worldwide end-user spending on the public cloud will total USD 679 billion and is projected to exceed USD 1 trillion in 2027 (link resides outside ibm.com).

The following are a few of the most integral components of today’s modern cloud computing architecture.

CSPs own and operate remote data centers that house physical or bare metal servers , cloud storage systems and other physical hardware that create the underlying infrastructure and provide the physical foundation for cloud computing.

In cloud computing, high-speed networking connections are crucial. Typically, an internet connection known as a wide-area network (WAN) connects front-end users (for example, client-side interface made visible through web-enabled devices) with back-end functions (for example, data centers and cloud-based applications and services). Other advanced cloud computing networking technologies, including load balancers , content delivery networks (CDNs) and software-defined networking (SDN) , are also incorporated to ensure data flows quickly, easily and securely between front-end users and back-end resources. 

Cloud computing relies heavily on the virtualization of IT infrastructure —servers, operating system software, networking and other infrastructure that’s abstracted using special software so that it can be pooled and divided irrespective of physical hardware boundaries. For example, a single hardware server can be divided into multiple virtual servers . Virtualization enables cloud providers to make maximum use of their data center resources. 

IaaS (Infrastructure-as-a-Service), PaaS (Platform-as-a-Service), SaaS (Software-as-a-Service) and serverless computing are the most common models of cloud services, and it’s not uncommon for an organization to use some combination of all four.

IaaS (Infrastructure-as-a-Service) provides on-demand access to fundamental computing resources—physical and virtual servers, networking and storage—over the internet on a pay-as-you-go basis. IaaS enables end users to scale and shrink resources on an as-needed basis, reducing the need for high up-front capital expenditures or unnecessary on-premises or "owned" infrastructure and for overbuying resources to accommodate periodic spikes in usage. 

According to a  Business Research Company report  (link resides outside ibm.com), the IaaS market is predicted to grow rapidly in the next few years, growing to $212.34 billion in 2028 at a compound annual growth rate (CAGR) of 14.2%. 

PaaS (Platform-as-a-Service) provides software developers with an on-demand platform—hardware, complete software stack, infrastructure and development tools—for running, developing and managing applications without the cost, complexity and inflexibility of maintaining that platform on-premises. With PaaS, the cloud provider hosts everything at their data center. These include servers, networks, storage, operating system software, middleware  and databases. Developers simply pick from a menu to spin up servers and environments they need to run, build, test, deploy, maintain, update and scale applications.

Today, PaaS is typically built around  container s , a virtualized compute model one step removed from virtual servers. Containers virtualize the operating system, enabling developers to package the application with only the operating system services it needs to run on any platform without modification and the need for middleware.

Red Hat® OpenShift ® is a popular PaaS built around  Docker  containers and  Kubernetes , an open source container orchestration solution that automates deployment, scaling, load balancing and more for container-based applications.

SaaS (Software-as-a-Service) , also known as cloud-based software or cloud applications, is application software hosted in the cloud. Users access SaaS through a web browser, a dedicated desktop client or an API that integrates with a desktop or mobile operating system. Cloud service providers offer SaaS based on a monthly or annual subscription fee. They may also provide these services through pay-per-usage pricing. 

In addition to the cost savings, time-to-value and scalability benefits of cloud, SaaS offers the following:

  • Automatic upgrades:  With SaaS, users use new features when the cloud service provider adds them without orchestrating an on-premises upgrade.
  • Protection from data loss:  Because SaaS stores application data in the cloud with the application, users don’t lose data if their device crashes or breaks.

SaaS is the primary delivery model for most commercial software today. Hundreds of SaaS solutions exist, from focused industry and broad administrative (for example, Salesforce) to robust enterprise database and artificial intelligence (AI) software. According to an International Data Center (IDC) survey (the link resides outside IBM), SaaS applications represent the largest cloud computing segment, accounting for more than 48% of the $778 billion worldwide cloud software revenue.

Serverless computing , or simply serverless, is a cloud computing model that offloads all the back-end infrastructure management tasks, including provisioning, scaling, scheduling and patching to the cloud provider. This frees developers to focus all their time and effort on the code and business logic specific to their applications.

Moreover, serverless runs application code on a per-request basis only and automatically scales the supporting infrastructure up and down in response to the number of requests. With serverless, customers pay only for the resources used when the application runs; they never pay for idle capacity. 

FaaS, or Function-as-a-Service , is often confused with serverless computing when, in fact, it’s a subset of serverless. FaaS allows developers to run portions of application code (called functions) in response to specific events. Everything besides the code—physical hardware, virtual machine (VM) operating system and web server software management—is provisioned automatically by the cloud service provider in real-time as the code runs and is spun back down once the execution is complete. Billing starts when execution starts and stops when execution stops.

A  public cloud is a type of cloud computing in which a cloud service provider makes computing resources available to users over the public internet. These include SaaS applications, individual  virtual machines (VMs) , bare metal computing hardware, complete enterprise-grade infrastructures and development platforms. These resources might be accessible for free or according to subscription-based or pay-per-usage pricing models.

The public cloud provider owns, manages and assumes all responsibility for the data centers, hardware and infrastructure on which its customers’ workloads run. It typically provides high-bandwidth network connectivity to ensure high performance and rapid access to applications and data.

Public cloud is a  multi-tenant environment  where all customers pool and share the cloud provider’s data center infrastructure and other resources. In the world of the leading public cloud vendors, such as Amazon Web Services (AWS), Google Cloud, IBM Cloud®, Microsoft Azure and Oracle Cloud, these customers can number in the millions.

Most enterprises have moved portions of their computing infrastructure to the public cloud since public cloud services are elastic and readily scalable, flexibly adjusting to meet changing workload demands. The promise of greater efficiency and cost savings through paying only for what they use attracts customers to the public cloud. Still, others seek to reduce spending on hardware and on-premises infrastructure.  Gartner predicts  (link resides outside ibm.com) that by 2026, 75% of organizations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform. 

A  private cloud is a cloud environment where all cloud infrastructure and computing resources are dedicated to one customer only. Private cloud combines many benefits of cloud computing—including elasticity, scalability and ease of service delivery—with the access control, security and resource customization of on-premises infrastructure.

A private cloud is typically hosted on-premises in the customer’s data center. However, it can also be hosted on an independent cloud provider’s infrastructure or built on rented infrastructure housed in an offsite data center.

Many companies choose a private cloud over a public cloud environment to meet their regulatory compliance requirements. Entities like government agencies, healthcare organizations and financial institutions often opt for private cloud settings for workloads that deal with confidential documents, personally identifiable information (PII), intellectual property, medical records, financial data or other sensitive data.

By building private cloud architecture according to  cloud-native  principles, an organization can quickly move workloads to a public cloud or run them within a hybrid cloud (see below) environment whenever ready.

A  hybrid cloud is just what it sounds like: a combination of public cloud, private cloud and on-premises environments. Specifically (and ideally), a hybrid cloud connects a combination of these three environments into a single, flexible infrastructure for running the organization’s applications and workloads. 

At first, organizations turned to hybrid cloud computing models primarily to migrate portions of their on-premises data into private cloud infrastructure and then connect that infrastructure to public cloud infrastructure hosted off-premises by cloud vendors. This process was done through a packaged hybrid cloud solution like Red Hat® OpenShift® or middleware and IT management tools to create a " single pane of glass ." Teams and administrators rely on this unified dashboard to view their applications, networks and systems.

Today, hybrid cloud architecture has expanded beyond physical connectivity and cloud migration to offer a flexible, secure and cost-effective environment that supports the portability and automated deployment of workloads across multiple environments. This feature enables an organization to meet its technical and business objectives more effectively and cost-efficiently than with a public or private cloud alone. For instance, a hybrid cloud environment is ideal for DevOps and other teams to develop and test web applications. This frees organizations from purchasing and expanding the on-premises physical hardware needed to run application testing, offering faster time to market. Once a team has developed an application in the public cloud, they may move it to a private cloud environment based on business needs or security factors.

A public cloud also allows companies to quickly scale resources in response to unplanned spikes in traffic without impacting private cloud workloads, a feature known as cloud bursting. Streaming channels like Amazon use cloud bursting to support the increased viewership traffic when they start new shows.

Most enterprise organizations today rely on a hybrid cloud model because it offers greater flexibility, scalability and cost optimization than traditional on-premises infrastructure setups. According to the  IBM Transformation Index: State of Cloud , more than 77% of businesses and IT professionals have adopted a hybrid cloud approach.

To learn more about the differences between public, private and hybrid cloud, check out “ Public cloud vs. private cloud vs. hybrid cloud: What’s the difference? ”

Watch the IBM hybrid cloud architecture video series.

Multicloud uses two or more clouds from two or more different cloud providers. A multicloud environment can be as simple as email SaaS from one vendor and image editing SaaS from another. But when enterprises talk about multicloud, they typically refer to using multiple cloud services—including SaaS, PaaS and IaaS services—from two or more leading public cloud providers. 

Organizations choose multicloud to avoid vendor lock-in, to have more services to select from and to access more innovation. With multicloud, organizations can choose and customize a unique set of cloud features and services to meet their business needs. This freedom of choice includes selecting “best-of-breed” technologies from any CSP, as needed or as they emerge, rather than being locked into offering from a single vendor. For example, an organization may choose AWS for its global reach with web-hosting, IBM Cloud for data analytics and machine learning platforms and Microsoft Azure for its security features.

A multicloud environment also reduces exposure to licensing, security and compatibility issues that can result from " shadow IT "— any software, hardware or IT resource used on an enterprise network without the IT department’s approval and often without IT’s knowledge or oversight.

Today, most enterprise organizations use a hybrid multicloud model. Apart from the flexibility to choose the most cost-effective cloud service, hybrid multicloud offers the most control over workload deployment, enabling organizations to operate more efficiently, improve performance and optimize costs. According to an  IBM® Institute for Business Value study , the value derived from a full hybrid multicloud platform technology and operating model at scale is two-and-a-half times the value derived from a single-platform, single-cloud vendor approach. 

Yet the modern hybrid multicloud model comes with more complexity. The more clouds you use—each with its own management tools, data transmission rates and security protocols—the more difficult it can be to manage your environment. With  over 97% of enterprises operating on more than one cloud  and most organizations running  10 or more clouds , a hybrid cloud management approach has become crucial. Hybrid multicloud management platforms provide visibility across multiple provider clouds through a central dashboard where development teams can see their projects and deployments, operations teams can monitor clusters and nodes and the cybersecurity staff can monitor for threats.

Learn more about hybrid cloud management.

Traditionally, security concerns have been the primary obstacle for organizations considering cloud services, mainly public cloud services. Maintaining cloud security demands different procedures and employee skillsets than in legacy IT environments. Some cloud security best practices include the following:

  • Shared responsibility for security:  Generally, the cloud service provider is responsible for securing cloud infrastructure, and the customer is responsible for protecting its data within the cloud. However, it’s also essential to clearly define data ownership between private and public third parties.
  • Data encryption:  Data should be encrypted while at rest, in transit and in use. Customers need to maintain complete control over security keys and hardware security modules.
  • Collaborative management:  Proper communication and clear, understandable processes between IT, operations and security teams will ensure seamless cloud integrations that are secure and sustainable.
  • Security and compliance monitoring:  This begins with understanding all regulatory compliance standards applicable to your industry and establishing active monitoring of all connected systems and cloud-based services to maintain visibility of all data exchanges across all environments, on-premises, private cloud, hybrid cloud and edge.

Cloud security is constantly changing to keep pace with new threats. Today’s CSPs offer a wide array of cloud security management tools, including the following:  

  • Identity and access management (IAM):  IAM   tools and services that automate policy-driven enforcement protocols for all users attempting to access both on-premises and cloud-based services. 
  • Data loss prevention (DLP): DLP services that combine remediation alerts data encryption and other preventive measures to protect all stored data, whether at rest or in motion.
  • Security information and event management (SIEM) :   SIEM is a comprehensive security orchestration solution that automates threat monitoring, detection and response in cloud-based environments. SIEM technology uses artificial intelligence (AI)-driven technologies to correlate log data across multiple platforms and digital assets. This allows IT teams to successfully apply their network security protocols, enabling them to react to potential threats quickly.
  • Automated data compliance platforms:   Automated software solutions provide compliance controls and centralized data collection to help organizations adhere to regulations specific to their industry. Regular compliance updates can be baked into these platforms so organizations can adapt to ever-changing regulatory compliance standards.

Learn more about cloud security.

Sustainability in business , a company’s strategy to reduce negative environmental impact from their operations in a particular market, has become an essential corporate governance mandate.  Moreover, Gartner predicts  (link resides outside ibm.com) that by 2025, the carbon emissions of hyperscale cloud services will be a top-three criterion in cloud purchase decisions.

As companies strive to advance their sustainability objectives, cloud computing has evolved to play a significant role in helping them reduce their carbon emissions and manage climate-related risks. For instance, traditional data centers require power supplies and cooling systems, which depend on large amounts of electrical power. By migrating IT resources and applications to the cloud, organizations only enhance operational and cost efficiencies and boost overall energy efficiency through pooled CSP resources.

All major cloud players have made net-zero commitments to reduce their carbon footprints and help clients reduce the energy they typically consume using an on-premises setup. For instance, IBM is driven by  sustainable procurement  initiatives to reach NetZero by 2030. By 2025, IBM Cloud worldwide data centers  will comprise energy procurement drawn from 75% renewable sources .

According to an  International Data Corporation (IDC) forecast  (link resides outside ibm.com), worldwide spending on the whole cloud opportunity (offerings, infrastructure and services) will surpass USD 1 trillion in 2024 while sustaining a double-digit compound annual growth rate (CAGR) of 15.7%. Here are some of the main ways businesses are benefitting from cloud computing: 

  • Scale infrastructure:  Allocate resources up or down quickly and easily in response to changes in business demands.
  • Enable business continuity and disaster recovery:  Cloud computing provides cost-effective redundancy to protect data against system failures and the physical distance required to apply disaster recovery strategies and recover data and applications during a local outage or disaster. All of the major public cloud providers offer Disaster-Recovery-as-a-Service (DRaaS) .
  • Build and test cloud-native applications : For development teams adopting Agile,  DevOps  or  DevSecOps to streamline development, the cloud offers on-demand end-user self-service that prevents operations tasks, such as spinning up development and test servers, from becoming development bottlenecks.
  • Support edge and IoT environments:  Address latency challenges and reduce downtime by bringing data sources closer to the edge . Support Internet of Things (IoT) devices (for example, patient monitoring devices and sensors on a production line) to gather real-time data.
  • Leverage cutting-edge technologies:  Cloud computing supports storing and processing huge volumes of data at high speeds—much more storage and computing capacity than most organizations can or want to purchase and deploy on-premises. These high-performance resources support technologies like  blockchain , quantum computing and  large language models (LLMs ) that power generative AI platforms like customer service automation. 

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An industry-specific cloud, built to support your unique modernization and AI transformation needs.

Hybrid cloud integrates public cloud services, private cloud services and on-premises infrastructure into a single distributed computing environment.

DevOps speeds delivery of higher quality software by combining and automating the work of software development and IT operations teams.

Cloud migration is the process of relocating an organization’s data, applications, and workloads to a cloud infrastructure.

Although cloud computing is only a different way to deliver computer resources rather than a new technology, it has sparked a revolution in the way organizations provide information and service.

Determining the best cloud computing architecture for enterprise business is critical for overall success. That’s why it is essential to compare the different functionalities of private cloud versus public cloud versus hybrid cloud.

We're excited to introduce a three-part lightboarding video series that will delve into the world of hybrid cloud architecture. In this intro video, our guide, Sai Vennam, lays out the three major hybrid cloud architecture issues that we're going to cover: Connectivity, Modernization and Security.

Designed for industry, security and the freedom to build and run anywhere, IBM Cloud is a full stack cloud platform with over 170 products and services covering data, containers, AI, IoT and blockchain. Use IBM Cloud to build scalable infrastructure at a lower cost, deploy new applications instantly and scale up workloads based on demand.

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What is Cloud Storage?

Cloud Storage is a mode of computer data storage in which digital data is stored on servers in off-site locations. The servers are maintained by a third-party provider who is responsible for hosting, managing, and securing data stored on its infrastructure. The provider ensures that data on its servers is always accessible via public or private internet connections.

Cloud Storage enables organizations to store, access, and maintain data so that they do not need to own and operate their own data centers, moving expenses from a capital expenditure model to operational. Cloud Storage is scalable, allowing organizations to expand or reduce their data footprint depending on need. 

Google Cloud provides a variety of scalable options for organizations to store their data in the cloud. Learn more about Cloud Storage at Google Cloud .

image for cloud storage

How does Cloud Storage work?

Cloud Storage uses remote servers to save data, such as files, business data, videos, or images. Users upload data to servers via an internet connection, where it is saved on a virtual machine on a physical server. To maintain availability and provide redundancy, cloud providers will often spread data to multiple virtual machines in data centers located across the world. If storage needs increase, the cloud provider will spin up more virtual machines to handle the load. Users can access data in Cloud Storage through an internet connection and software such as web portal, browser, or mobile app via an application programming interface (API).

Cloud Storage is available in four different models:

Public Cloud Storage is a model where an organization stores data in a service provider’s data centers that are also utilized by other companies. Data in public Cloud Storage is spread across multiple regions and is often offered on a subscription or pay-as-you-go basis. Public Cloud Storage is considered to be “elastic” which means that the data stored can be scaled up or down depending on the needs of the organization. Public cloud providers typically make data available from any device such as a smartphone or web portal.

Private Cloud Storage is a model where an organization utilizes its own servers and data centers to store data within their own network. Alternatively, organizations can deal with cloud service providers to provide dedicated servers and private connections that are not shared by any other organization. Private clouds are typically utilized by organizations that require more control over their data and have stringent compliance and security requirements.

A hybrid cloud model is a mix of private and public cloud storage models. A hybrid cloud storage model allows organizations to decide which data it wants to store in which cloud. Sensitive data and data that must meet strict compliance requirements may be stored in a private cloud while less sensitive data is stored in the public cloud. A hybrid cloud storage model typically has a layer of orchestration to integrate between the two clouds. A hybrid cloud offers flexibility and allows organizations to still scale up with the public cloud if need arises. 

A multicloud storage model is when an organization sets up more than one cloud model from more than one cloud service provider (public or private). Organizations might choose a multicloud model if one cloud vendor offers certain proprietary apps, an organization requires data to be stored in a specific country, various teams are trained on different clouds, or the organization needs to serve different requirements that are not stated in the servicers’ Service Level Agreements. A multicloud model offers organizations flexibility and redundancy.

Advantages of Cloud Storage

Total cost of ownership.

Cloud Storage enables organizations to move from a capital expenditure to an operational expenditure model, allowing them to adjust budgets and resources quickly.

Cloud Storage is elastic and scalable, meaning that it can be scaled up (more storage added) or down (less storage needed) depending on the organization’s needs. 

Flexibility

Cloud Storage offers organizations flexibility on how to store and access data, deploy and budget resources, and architect their IT infrastructure.  

Most cloud providers offer robust security, including physical security at data centers and cutting edge security at the software and application levels. The best cloud providers offer zero trust architecture , identity and access management , and encryption .

Sustainability

One of the greatest costs when operating on-premises data centers is the overhead of energy consumption. The best cloud providers operate on sustainable energy through renewable resources.

Redundancy (replicating data on multiple servers in different locations) is an inherent trait in public clouds, allowing organizations to recover from disasters while maintaining business continuity.

Disadvantages of Cloud Storage

Certain industries such as finance and healthcare have stringent requirements about how data is stored and accessed. Some public cloud providers offer tools to maintain compliance with applicable rules and regulations.

Traffic to and from the cloud can be delayed because of network traffic congestion or slow internet connections.

Storing data in public clouds relinquishes some control over access and management of that data, entrusting that the cloud service provider will always be able to make that data available and maintain its systems and security.

While public cloud providers aim to ensure continuous availability, outages sometimes do occur, making stored data unavailable. 

How to use Cloud Storage

Cloud Storage provides several use cases that can benefit individuals and organizations. Whether a person is storing their family budget on a spreadsheet, or a massive organization is saving years of financial data in a highly secure database, Cloud Storage can be used for saving digital data of all kinds for as long as needed.

Data backup is one of the simplest and most prominent uses of Cloud Storage. Production data can be separated from backup data, creating a gap between the two that protects organizations in the case of a cyber threat such as ransomware. Data backup through Cloud Storage can be as simple as saving files to a digital folder such as Google Drive or using block storage to maintain gigabytes or more of important business data.

The ability to archive old data has become an important aspect of Cloud Storage, as organizations move to digitize decades of old records, as well as hold on to records for governance and compliance purposes. Google Cloud offers several tiers of storage for archiving data, including coldline storage and archival storage , that can be accessed whenever an organization needs them.

Disaster recovery

A disaster—natural or otherwise— that wipes out a data center or old physical records needs not be the business-crippling event that it was in the past. Cloud Storage allows for disaster recovery so that organizations can continue with their business, even when times are tough.

Data processing

As Cloud Storage makes digital data immediately available, data becomes much more useful on an ongoing basis. Data processing, such as analyzing data for business intelligence or applying machine learning and artificial intelligence to large datasets, is possible because of Cloud Storage.

Content delivery

With the ability to save copies of media data, such as large audio and video files, on servers dispersed across the globe, media and entertainment companies can serve their audience low-latency, always available content from wherever they reside.

Types of Cloud Storage

Cloud Storage comes in three different types: object , file , and block .

Object storage is a data storage architecture for large stores of unstructured data. It designates each piece of data as an object, keeps it in a separate storehouse, and bundles it with metadata and a unique identifier for easy access and retrieval.

File storage organizes data in a hierarchical format of files and folders. File storage is common in personal computing where data is saved as files and those files are organized in folders. File storage makes it easy to locate and retrieve individual data items when they are needed. File storage is most often used in directories and data repositories.

Block storage breaks data into blocks, each with an unique identifier, and then stores those blocks as separate pieces on the server. The cloud network stores those blocks wherever it is most efficient for the system. Block storage is best used for large volumes of data that require low latency such as workloads that require high performance or databases.

Related products and services

Google Cloud offers a variety of products and services to help organizations make the most of cloud storage. 

By using Google Cloud, organizations are using the most sustainable cloud in the business, with the most robust artificial intelligence and machine learning solutions. 

Persistent Disk storage

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  3. Diagram of the Cloud Types Storyboard by oliversmith

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  4. Types of Clouds: Their Formation & Meaning Explained with Diagram

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  6. Types of Clouds and How to Recognize Them

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    There are 3 main types of clouds: Cirrus or thin feathery clouds Stratus or layered clouds Cumulus or fluffy clouds Cirrus Clouds Are the most common of the high clouds. They are composed of ice and are thin, wispy clouds blown in high winds into long streamers. Cirrus clouds are usually white and predict fair to pleasant weather.

  2. All About Clouds

    Let's take a quick look at the 4 main types of clouds. The four main types of clouds are: Cumulus clouds: These are white, fluffy clouds that often have flat bottoms and rounded tops. They are associated with fair weather but can also indicate a thunderstorm if they grow taller and darker. Stratus clouds: These are low-lying clouds that form ...

  3. Unit 1

    A cloud forms when air is heated by the sun. As it rises, it slowly cools it reaches the saturation point and water condenses, forming a cloud. As long as the cloud and the air that its made of is warmer than the outside air around it, it will float. Why do clouds float? 6 Clouds get their names in two ways: altitude and shape.

  4. The Types of Clouds and What They Mean

    2. Learn about types of clouds. Read the list below to learn about the different types of clouds, what they look like and where they appear in the sky. Or download and print out this chart (also available en Español) High Altitude. Cirrocumulus - High clouds with a puffy, patchy appearance and small spaces between clouds. Often form wave ...

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  6. What are the different types of cloud computing?

    The main three types of cloud computing are public cloud, private cloud, and hybrid cloud. Within these deployment models, there are four main services: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing. The type of cloud deployment model and cloud service model you choose ...

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    This PowerPoint introduces children about the four main types of cloud: cirrus, cumulus, stratus and nimbus. Designed by teachers to make information about clouds more accessible to children, this PowerPoint shows kids how to recognise different cloud types. It includes photographs of each cloud type as well as an explanation of what they look ...

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    The four main types of clouds are: Cumulus clouds: These are white, fluffy clouds that often have flat bottoms and rounded tops. They are associated with fair weather but can also indicate a thunderstorm if they grow taller and darker. Stratus clouds: These are low-lying clouds that form a flat, uniform layer.

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    The 4 different types of clouds are: Cirrus - Made up of ice crystals, 18,000 feet in the sky there are the highest form of cloud and look like paintbrush strokes across the sky. Cumulus - A pile of fluffy clouds that do not produce any rain or snow and only appear on a sunny day.

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    Cumulus • Puffy white or light gray clouds that look like floating cotton balls. • Cumulus clouds have sharp outlines and a flat base. • Seeing cumulus clouds in the sky can mean the weather will be good or bad. Cumulonimbus • Known as thunderstorm clouds. • Can grow up to 10km high.

  16. What is Cloud Computing?

    Cloud computing defined. Cloud computing is the on-demand availability of computing resources (such as storage and infrastructure), as services over the internet. It eliminates the need for individuals and businesses to self-manage physical resources themselves, and only pay for what they use. The main cloud computing service models include ...

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    Free Google Slides theme, PowerPoint template, and Canva presentation template. Feel free as a bird plowing through the sky with this wonderful template! Learn the difference between the types of clouds and relax observing the beautiful design of this template! This theme is based on a multi-purpose structure. The backgrounds look like a lilac ...

  20. What is Cloud Storage & How Does it Work?

    Cloud Storage comes in three different types: object, file, and block. Object . Object storage is a data storage architecture for large stores of unstructured data. It designates each piece of data as an object, keeps it in a separate storehouse, and bundles it with metadata and a unique identifier for easy access and retrieval.