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What is Cloud Computing?

Understanding the types of cloud computing resources can be time-consuming and costly. Enterprises need to buy physical servers and other infrastructure through procurement processes that can take months, and support the architecture of cloud computing. The acquired systems require a physical space, typically a specialized room with sufficient power and cooling. After configuring and deploying the systems, enterprises need expert personnel to manage them.

This long process is difficult to scale when demand spikes or business expands. Enterprises can acquire more computing resources than needed, ending up with low utilization numbers.

Cloud computing addresses these issues by offering computing resources as scalable, on-demand services. Learn more about Google Cloud , a suite of cloud computing service models offered by Google.

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 infrastructure as a service offers compute and storage services, platform as a service offers a develop-and-deploy environment to build cloud apps, and software as a service delivers apps as services.

Understanding how cloud computing works

Cloud computing service models are based on the concept of sharing on-demand computing resources, software, and information over the internet. Companies or individuals pay to access a virtual pool of shared resources, including compute, storage, and networking services, which are located on remote servers that are owned and managed by service providers. 

One of the many advantages of cloud computing is that you only pay for what you use. This allows organizations to scale faster and more efficiently without the burden of having to buy and maintain their own physical data centers and servers.  

In simpler terms, cloud computing uses a network (most often, the internet) to connect users to a cloud platform where they request and access rented computing services. A central server handles all the communication between client devices and servers to facilitate the exchange of data. Security and privacy features are common components to keep this information secure and safe.  

When adopting cloud computing architecture, there is no one-size-fits-all. What works for another company may not suit you and your business needs. In fact, this flexibility and versatility is one of the hallmarks of cloud, allowing enterprises to quickly adapt to changing markets or metrics.

There are three different cloud computing deployment models: public cloud, private cloud, and hybrid cloud.

Types of cloud computing deployment models

Public cloud.

Public clouds are run by third-party cloud service providers. They offer compute, storage, and network resources over the internet, enabling companies to access shared on-demand resources based on their unique requirements and business goals.

Private cloud

Private clouds are built, managed, and owned by a single organization and privately hosted in their own data centers, commonly known as “on-premises” or “on-prem.” They provide greater control, security, and management of data while still enabling internal users to benefit from a shared pool of compute, storage, and network resources.

Hybrid cloud

Hybrid clouds combine public and private cloud models, allowing companies to leverage public cloud services and maintain the security and compliance capabilities commonly found in private cloud architectures.

What are the types of cloud computing services?

There are three main types of cloud computing service models that you can select based on the level of control, flexibility, and management your business needs: 

Infrastructure as a service (IaaS)

Infrastructure as a service (IaaS) offers on-demand access to IT infrastructure services, including compute, storage, networking, and virtualization. It provides the highest level of control over your IT resources and most closely resembles traditional on-premises IT resources.

Platform as a service (PaaS)

Platform as a service (PaaS) offers all the hardware and software resources needed for cloud application development. With PaaS, companies can focus fully on application development without the burden of managing and maintaining the underlying infrastructure.

Software as a service (SaaS)

Software as a service (SaaS) delivers a full application stack as a service, from underlying infrastructure to maintenance and updates to the app software itself. A SaaS solution is often an end-user application, where both the service and the infrastructure is managed and maintained by the cloud service provider.

What are the benefits of cloud computing?

It’s flexible.

Due to the architecture of cloud computing, enterprises and their users can access cloud services from anywhere with an internet connection, scaling services up or down as needed.

It’s efficient

Enterprises can develop new applications and rapidly get them into production—without worrying about the underlying infrastructure.

It offers strategic value

Because cloud providers stay on top of the latest innovations and offer them as services to customers, enterprises can get more competitive advantages—and a higher return on investment—than if they’d invested in soon-to-be obsolete technologies.

It’s secure

Enterprises often ask, What are the security risks of cloud computing? They are considered relatively low. Cloud computing security is generally recognized as stronger than that in enterprise data centers, because of the depth and breadth of the security mechanisms cloud providers put into place. Plus, cloud providers’ security teams are known as top experts in the field.

It’s cost-effective

Whatever cloud computing service model is used, enterprises only pay for the computing resources they use. They don’t need to overbuild data center capacity to handle unexpected spikes in demand or business growth, and they can deploy IT staff to work on more strategic initiatives.

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How cloud computing can help your organization.

The pace of innovation—and the need for advanced computing to accelerate this growth—makes cloud computing a viable option to advance research and speed up new product development. Cloud computing can give enterprises access to scalable resources and the latest technologies without needing to worry about capital expenditures or limited fixed infrastructure. What is the future of cloud computing? It’s expected to become the dominant enterprise IT environment.

If your organization experiences any of the following, you’re probably a good candidate for cloud computing:

• High business growth that outpaces infrastructure capabilities
• Low utilization of existing infrastructure resources
• Large volumes of data that are overwhelming your on-premises data storage resources
• Slow response times with on-premises infrastructure
• Delayed product development cycles due to infrastructure constraints
• Cash flow challenges due to high computing infrastructure expenses
• Highly mobile or distributed user population

These scenarios require more than traditional data centers can provide.

Infrastructure scaling

Many organizations, including those in retail, have wildly varying needs for compute capacity. Cloud computing easily accommodates these fluctuations.  

Disaster recovery

Rather than building more data centers to ensure continuity during disasters, businesses use cloud computing to safely back up their digital assets.

Data storage

Cloud computing helps overloaded data centers by storing large volumes of data, making it more accessible, easing analysis, and making backup easier.

Application development

Cloud computing offers enterprise developers quick access to tools and platforms for building and testing applications, speeding up time to market.

Big data analytics

Cloud computing offers almost unlimited resources to process large volumes of data to speed research and reduce time to insights.

Related products and services

Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for their own consumer products, such as Google Search, Gmail, and YouTube.

The list of available Google Cloud services is long—and it keeps growing. When developing applications or running workloads on Google Cloud, enterprises can mix and match these services into combinations that provide the infrastructure they need.

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Introduction to Cloud Computing Workshop

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Cloud computing can be a very interesting proposition for both companies and individuals, as it allows the use of a network of servers remotely connected to the Internet to process and manage data. However, understanding 100% of how this system works can be complicated, but that's okay! That's what you are here for with the introduction to cloud computing workshop you have prepared. So, include the most relevant information in this set of slides to organize everything related to the workshop. The gradient backgrounds and professional stickers included are sure to make your presentation a success.

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Updated: 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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The cloud computing PPT templates cover various topics, from AWS e-commerce models to roadmaps, cloud migration plans, diagrams, models, etc. Presenters can use these high-visual impact templates to deliver talks to their teams or stakeholders and repurpose them as often as required. Our templates are fully compatible with any PowerPoint version, Google Slides, and Keynote, for Windows and Mac users.

What is a cloud computing PowerPoint template?

We call a cloud computing PowerPoint template a pre-made design tailored to deliver cloud computing services presentations, either for educational or work-related meetings.

What should a cloud computing PowerPoint template include?

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• Cloud Computing Models: Definitions and examples of IaaS, PaaS, and SaaS, as well as Deployment Models (Public, Private, Hybrid, Community).
• Benefits of Cloud Computing
• Key Cloud Providers and Technologies
• Cloud Architecture
• Cloud Security

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• Accessibility: Work from any location, at any time, using any device.
• Security: Top-notch data protection keeps your information safe.
• Cloud Technology: Dive into the inner workings of the cloud, explaining its structure and components with clear visuals.
• Cloud Networking : Untangle the web of connections that make the cloud tick, using diagrams and icons to make it a breeze to understand.
• Cloud Virtuous Cycle: Show how the cloud benefits everyone, from individuals to businesses and the environment, with a beautiful cycle infographic.
• Cloud Migration: Guide your audience through the journey of moving to the cloud, step-by-step, with helpful timelines and checklists.
• Cloud Services: Explore the vast array of cloud offerings, from storage and databases to AI and machine learning, with informative icons and concise descriptions.
• Cloud Security: Build trust with your audience by showcasing the robust security measures that keep their data safe in the cloud.
• And more! We've got slides for information technology, social media strategies, process models, business development, cluster diagrams, and so much more.

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Cloud Computing

Feb 02, 2018

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Greens Technologys provide best AWS Training in Chennai

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Presentation Transcript

What is Cloud Computing?

Basics of Cloud Computing • Whether you are running applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources. • With cloud computing, you don’t need to make large upfront investments in hardware and spend a lot of time on the heavy lifting of managing that hardware. • Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow.  • If you too want to make yourself as an Amazon Cloud specialist!, it would be advisable that you take AWS Training in Chennai.

How Does Cloud Computing Work? • Cloud computing provides a simple way to access servers, storage, databases and a broad set of application services over the Internet. • A Cloud services platform such as Amazon Web Services owns and maintains the network-connected hardware required for these application services, while you provision and use what you need via a web application.

Types of Cloud Computing • Cloud computing is usually described in one of two ways. Either based on the cloud location, or on the service that the cloud is offering. Based on a cloud location • public, • private, • hybrid • community cloud Based on a service • Infrastructure as a Service (IaaS) • Platform as a Service (PaaS) • Software as a Service (SaaS)

public cloud mean that the whole computing infrastructure is located on the premises of a cloud computing company that offers the cloud service. The location remains, thus, separate from the customer and he has no physical control over the infrastructure. Advantages • Virtually unlimited resources – You can instantly provision virtually unlimited amount of resources • Scalability & Elasticity – You can scale up or down your resources to meet demand peaks and lows, and you pay only for what you use • Pay as you go – No Capex, you pay a monthly bill Limitations • Lack of Perceived Amortization Benefits on Investment • Compliance – Public Cloud providers may not be following all the regulatory compliance required by an organization.

Private cloud means using a cloud infrastructure (network) solely by one customer/organization. It is not shared with others, yet it is remotely located. The companies have an option of choosing an on-premise private cloud as well, which is more expensive, but they do have a physical control over the infrastructure. Advantages • Security – There is a sense of security among organizations as the data resides on premise • Compliance – Enterprises can comply to the compliance standards required for their industries and follow the required corporate governance structure for their organizations Limitations • Costs – Organizations need to own the hardware, storage and networking resources upfront and also spend on the maintenance of all the resources • Complexity – Private Clouds are complex to deploy and maintain because of the complex virtualization of the hardware resources

Hybrid cloud means, using both private and public clouds, depending on their purpose • Hybrid cloud can also mean the ability to connect collocation, managed and or dedicated services with cloud resources. Advantages • FlexibilityOrganizations can make use of various Public and Private Clouds to utilize the advantages of both the deployment models. • Cloud Bursting – You can run an application on private cloud and burst it to public cloud to meet demand peaks Limitations • Complexity – To deploy a hybrid model is quite complex because of the varying standards of each provider

Infrastructure as a Service (IaaS): • Infrastructure as a Service, sometimes abbreviated as IaaS, contains the basic building blocks for cloud IT and typically provide access to networking features, computers (virtual or on dedicated hardware), and data storage space. • Infrastructure as a Service provides you with the highest level of flexibility and management control over your IT resources and is most similar to existing IT resources that many IT departments and developers are familiar with today. Platform as a Service (PaaS): • Platforms as a service remove the need for organizations to manage the underlying infrastructure (usually hardware and operating systems) and allow you to focus on the deployment and management of your applications.

This helps you be more efficient as you don’t need to worry about resource procurement, capacity planning, software maintenance, patching, or any of the other undifferentiated heavy lifting involved in running your application. Software as a Service (SaaS): • Software as a Service provides you with a completed product that is run and managed by the service provider. In most cases, people referring to Software as a Service are referring to end-user applications. • A common example of a SaaS application is web-based email where you can send and receive email without having to manage feature additions to the email product or maintaining the servers and operating systems that the email program is running on.

AWS @ Greens Technologys • There is great shift in the technology, that is moving to cloud for everything. In another 5 years, almost every large companies will move their applications to the cloud. • In both the scenarios, AWS certified will get much more privilege as compare to without certified when you need a job in a company that uses AWS. • Greens Technology provides AWS training in Chennaito professionals and corporate with Certification and Placements. • We offer real-world AWS Course in Chennai. • For details call us at 89399-15577 or walk into our AWS Training Center in Adyar, Velachery or T Nagar or OMR.

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Top 10 Google Cloud PPT Templates with Examples and Samples

Yajur Sharma

Google Cloud Platform (GCP) is a significant provider of cloud computing services, delivering an extensive range of tools and solutions to consumers, organizations, and corporations worldwide. Founded in 2008, Google Cloud Platform has swiftly developed its infrastructure, services, and capabilities, establishing itself as an industry leader in the cloud computing market.

One of the notable benefits of Google Cloud Platform is its range of services, which includes infrastructure, platform, and software offerings. Computational Engine, for example, enables customers to deploy virtual machines on Google's infrastructure, delivering scalable processing power for various tasks. Google Cloud's dedication to sustainability is another notable component of its operations. As a large energy consumer, Google has vowed to attain carbon neutrality in its operations and to use 100% renewable energy. Google Cloud Platform helps achieve this aim by creating energy-efficient data centers, optimizing resource utilization, and investing in renewable energy initiatives.

Utilizing Google AI for business is a sensible way to improve operational effectiveness and maintain competitiveness in a changing industry. Check out our blog on " How to Use Google AI for Business? " to know more!

Secure, Scalable, Smart

Google Cloud PowerPoint templates offer a visually appealing and professional way to convey information about Google Cloud Platform (GCP) services, solutions, and strategies. These templates are designed to reflect the branding and aesthetic of Google Cloud, ensuring consistency and coherence across presentations.

SlideTeam's content-ready Google Cloud PowerPoint templates use visual aspects consistent with the technology-focused character of cloud computing, including modern design elements and slick visuals. These visual upgrades not only grab the audience's attention, but they also improve comprehension and retention of significant concepts. Consistent design and branding throughout presentations increase the overall impact and credibility of the material.

Template 1:  Google Cloud IT PowerPoint

This Google Cloud IT PowerPoint template in 82 slides keeps your data, applications, and infrastructure in a safer place. It briefly explains Google Cloud, its architecture, services, and model. Google Cloud comprises many physical resources such as computers, hard disk drives, and virtual assets, like virtual machines and VMs, contained in Google's information centres throughout the planet. This PPT template will help you understand Google Cloud's needs, storage classes, models, platform, and services. A separate slide shows the difference between the three cloud service providers, Google Cloud Platform, Microsoft Azure, and Amazon AWS, on factors such as period, availability, networking, and compute services. In addition, Google Cloud PPT throws light on cloud computing vs. traditional computing. Download now!

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Template 2: Google Cloud Migration Powerpoint

Google Cloud Migration enables the shift to Google Cloud Platform easier, assuring scalability, dependability, and security. It simplifies the process by providing instructions and utilizing tools and resources to reduce downtime and improve performance. This PowerPoint presentation, which is 25 slides long, provides an overview of transitioning to the Google Cloud Platform. It discusses the advantages of migration, such as scalability, dependability, and security. The presentation addresses critical milestones in the migration process, emphasizing the tools and resources available to help with the shift. Furthermore, it discusses common challenges and offers insights into effective relocation strategies. Addressing challenges, it allows organizations to maximize the benefits of cloud computing by providing ways for smooth migration.Download now!

Template 3:Google Cloud Platform Features

Google Cloud Platform provides exceptional flexibility, allowing developers to design and diagnose at an individual level. By taking server administration, code may be executed smoothly in response to events. Its scalable design eliminates the requirement for manual server provision, freeing customers to focus entirely on application logic. Its server-free characteristics enable efficient deployment and management, optimizing resource utilization. Also, it enables developers to easily design solid and flexible structures that ensure flawless operation and speedy development cycles. 

Template 4: What is the Need of Google Cloud in the Organization?

This PowerPoint Slide illustrates Google Cloud's capacity, dependability, and security, satisfying a wide range of organizational requirements. It optimizes IT resources, allowing for smooth data storage, processing, and analysis. Cost-effective solutions minimize infrastructure costs, which promotes development and competitiveness. Collaborative technologies improve team productivity and enable distant work. Google Cloud's worldwide infrastructure provides minimal delay and high availability, vital for critical applications. Integration with Google Workspace improves operations and increases productivity. Finally, it enables organizations to adapt to changing technology environments, promote digital transformation, and remain competitive in today's dynamic business world. 

Template 5: Benefits of Google Cloud to the Organization

This PowerPoint Slide describes Google Cloud's benefits to the organization. It includes a circular representation that showcases the main benefits of Google Cloud based on cost, performance, data migration, network type, and control and security. It also includes key takeaways such as cost-effectiveness compared to other providers, extensive infrastructure, etc. In addition, Google Cloud enables organizations with speed, creativity, and durability, allowing them to adapt, prosper, and remain competitive. 

Template 6: What are Google Cloud Services?

This PowerPoint Slide describes the google cloud’s primary services. Big data technologies enable large-scale data analysis as well as development. Developer tools simplify the application development and distribution procedures. Identity and security features provide strong authentication and data protection. Internet of Things (IoT) features allow for easy link device administration and analysis. Cloud AI enables organizations to use machine learning and AI systems for forecasting and automation. Management solutions provide centralized management and monitoring for cloud resources. These services form a comprehensive cloud environment customized to varying organizational requirements. 

Template 7: 4 Steps to a Successful Google Cloud Migration

This PowerPoint slide illustrates four processes for a successful Google Cloud migration. The first stage examines current infrastructure and applications to discover potential migration paths. Second, develop migration techniques, such as task prioritization and resource allocation. Third, carefully test and validate the migration to reduce delays and information loss. Fourth, optimize and monitor post-migration efficiency to ensure smooth operations and cost-effectiveness. This template provides a systematic approach to guiding organizations through each stage of the migration process, ensuring a smooth transition to Google Cloud and maximizing its potential for innovation and development. 

Template 8: Best Practices for Successful Migration to Google Cloud

This PowerPoint Slide explains the Best Practices for a Successful Migration to Google Cloud by thoroughly reviewing the current infrastructure and tools. Create a comprehensive migration strategy that includes task prioritization, allocation of resources, and safety measures. Use Google's migration tools and procedures to ensure effective data transfer and application relocation. Implement strict safety precautions to secure sensitive data throughout the migration process. Using Google Cloud's elastic architecture, optimize resources for cost efficiency and scalability. Proper testing and validation will help to ensure seamless integration and performance. This template provides a road map for a successful migration, allowing organizations to use Google Cloud's capabilities to improve flexibility, creativity, and growth. 

Template 9: Roadmap for Migrating Data to Google Cloud

This PowerPoint Slide showcases a roadmap to creating a strategy for transferring data to Google Cloud, which requires many critical components—evaluating existing objectives, efforts, and difficulties and finding opportunities for improvement. Plan migration solutions suited to these requirements, ensuring seamless data transfer with little disturbance. Future activities include using Google Cloud's analytics capabilities to provide new event insights, attracting younger audiences with customized material, and increasing audience engagement with interactive elements. This template gives an organized strategy for managing the migration process, matching current demands with future goals to unleash the full potential of Google Cloud for organizational development and success. 

Template 10: Five Phases of Migrating to Google Cloud Platform

Migration to the Google Cloud Platform typically occurs in five stages. This PowerPoint slide shows the five stages. Phase one involves assessing present infrastructure and workloads to identify migration opportunities and establish targets. Phase two includes a trial migration to assess feasibility and fix any issues. Third, data can be transported to the cloud efficiently while maintaining data integrity. Fourth, apps should be relocated while carefully managing dependencies and maintaining compatibility. Finally, the last phase consists of post-migration optimization, which involves fine-tuning performance, growing resources, and optimizing costs. These phases provide a planned migration strategy, reducing interruptions and maximizing all the advantages of the Google Cloud Platform for a company's digital transformation journey. 

Limitless Possibilities: Google Cloud

Google Cloud provides services, solutions, and resources that help organizations innovate, expand, and prosper in today's digital economy. Whether using cutting-edge technology, harnessing the power of data and artificial intelligence, or ensuring robust security and compliance, Google Cloud Platform has the tools and capabilities to meet business issues and possibilities. Google Cloud continues to push the frontiers of what is possible in cloud computing by focusing on quality, sustainability, and customer success, driving transformation and helping organizations to flourish in a fast-changing world. With its user-friendly interfaces, scalable architecture, and vast network of partners and developers, Google Cloud is a reliable partner for businesses looking to remain ahead in an increasingly competitive market. Google Cloud PowerPoint templates are useful for successfully expressing Google Cloud Platform's value proposition, capabilities, and advantages, whether at internal meetings, client presentations, or industry events. They enable users to create captivating tales and visually appealing presentations that connect with stakeholders and achieve desired results.

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