Table Of Contents
What Is The Cloud In Simple Terms? Why Is It Called 'The Cloud'? How Did The Cloud Start? How Does The Cloud Work? How Is Data Stored In The Cloud? What Are The Benefits Of Cloud Computing? Cloud Delivery Models: What Are The Four Cloud Computing Services? Cloud Deployment Types: Public, Private, Hybrid, And Multi-Cloud Cloud Vs On-Premise: What's The Difference? Is The Cloud Safe? What Are The Top Cloud Service Providers? How Much Does Cloud Computing Cost? How To Control And Optimize Your Cloud Costs Cloud Computing FAQs

Quick Answer

What is the cloud? The cloud is a global network of remote servers that stores data, runs applications, and delivers services over the internet, not on your personal device. Think of it as renting someone else's computer, except that "someone else" is a trillion-dollar tech company with a lot of very cold rooms full of blinking lights.

Cloud computing lets businesses and individuals access computing power on demand instead of buying hardware. Gartner projects public cloud computing services spending will grow 21.3% in 2026, with the market on track to reach $1.48 trillion by 2029.

YouTube. Netflix. Uber. Spotify. Gmail. You sign up, create an account, and access it from any device with an internet connection. If your phone takes a swim in the toilet (no judgment), you can log in on a new device and everything’s still there — photos, playlists, that spreadsheet you were definitely going to finish.

That’s the cloud in action. Without it, there’s no Google Drive syncing your files, no Slack pinging you at 11 PM, no Zoom meetings that could’ve been emails. These are everyday cloud computing examples, and they’ve become so woven into daily life that most people use the cloud a dozen times before breakfast without thinking about it.

So what is the cloud in the tech sense, really? This guide covers the cloud computing meaning, the different types of cloud computing, who the top providers are, what it costs, whether it’s safe, and how to stop overspending on it — in plain English, no computer science degree required.

Prefer audio? The “Cloud Atlas: How The Cloud Reshaped Human Life” podcast covers the cloud’s rise from the 1990s to today.

What Is The Cloud In Simple Terms?

The cloud is a global network of servers and supporting cloud infrastructure running on the internet, not on your personal computer. When someone says “it’s in the cloud,” they mean the data or application lives on remote servers in a data center somewhere, not on the device in your hand.

NIST provides the most widely cited cloud computing definition: “a model for enabling ubiquitous, on-demand network access to a shared pool of configurable computing resources.” 

Translation: companies like AWS, Microsoft, and Google build enormous data centers, and you rent slices of their computing power instead of buying your own.

Three things make cloud computing different from just… using someone else’s computer:

  1. On-demand access. Spin up a server in minutes, not months.
  2. Pay-as-you-go pricing. Like electricity — pay for what you use, not what you could theoretically use at 3 AM during a traffic spike you’ll never have.
  3. Shared infrastructure. Multiple organizations share the same physical hardware (multi-tenancy), which drives costs down for everyone.

The cloud is really just a metaphor for the internet. When people say their photos are ‘in the cloud,’ what they mean is their photos are stored on servers owned by Google or Apple in a data center somewhere, not floating in the sky.

Which raises a fair question, if the cloud is just servers in a building, why don’t we call it that?

FinOps In The AI Era: A Critical Recalibration

What 475 executives told us about AI and cloud efficiency.

Why Is It Called ‘The Cloud’?

Early network engineers drew the internet as a fluffy cloud symbol in their diagrams — a shorthand for “all the complicated stuff happening between Point A and Point B that nobody wants to draw out.” The name stuck.

Behind that cute symbol is something decidedly less cute: millions of physical servers housed in global data centers. A single AWS facility can span 300,000+ square feet, roughly the size of five football fields, filled with racks of humming servers, redundant power systems, and industrial cooling that keeps everything from melting.

These facilities are owned and managed by cloud service providers (CSPs), companies whose entire business model is building, securing, and operating computing infrastructure at planet scale.

But it wasn’t always this way.

How Did The Cloud Start?

The concept of shared computing goes back to the 1960s, when IBM mainframes let multiple users share a single machine.

But the modern cloud started because Amazon had a problem.

In the early 2000s, Amazon’s engineering teams were rebuilding infrastructure from scratch for every new internal service. It was slow, expensive, and about as efficient as building a new kitchen every time you wanted to make toast. So they created reusable building blocks — storage, compute, databases — that any team could access on demand.

That internal tool became Amazon Web Services (AWS), launching publicly in 2006 with Amazon S3 for storage. Today AWS offers 200+ cloud services and generated $213.4 billion in revenue in 2025, per Amazon’s Q4 2025 earnings report. Microsoft Azure followed in 2010, Google Cloud Platform arrived in 2012, and the rest is history.

The cloud infrastructure market reached $419 billion in 2025, according to Synergy Research Group, growing 30% year-over-year, with generative AI as the primary driver. 

 At CloudZero™, we track this growth in real time through our Cloud Economics Pulse, a monthly snapshot of how cloud spending is shifting across providers and services.

So the cloud is massive and growing fast. But what actually happens when you click “save” or “stream”?

How Does The Cloud Work?

No magic involved. Just physics, fiber optic cables, and a frankly absurd number of computers.

When you open Gmail, stream Netflix, or save a file to Dropbox, four things happen in rapid succession:

  1. Your device sends a request over the internet to the cloud provider’s nearest data center.
  2. A load balancer routes that request to an available server (so no single machine gets overwhelmed).
  3. The server processes the request, fetching data, running code, crunching numbers.
  4. The response zips back to your device, typically in under 100 milliseconds.

Content Delivery Networks (CDNs) make this even faster by caching frequently accessed data at servers closer to you. Cloudflare’s CDN serves content from 330+ cities worldwide, cutting latency by up to 50%.

That covers the request cycle. But where does the actual data live once you’ve uploaded it?

How Is Data Stored In The Cloud?

Cloud storage is a service that lets you save files on remote servers and access them from any device through the internet.

Your data doesn’t live on one disk in one building. Cloud providers replicate it across multiple physical locations for redundancy, because hard drives fail, buildings lose power, and nature occasionally reminds us who’s in charge.

When you upload a file to Amazon S3, AWS automatically replicates it across a minimum of three availability zones within the same region. S3 Standard is designed for 99.999999999% durability, that’s eleven nines. You’re statistically more likely to be struck by lightning while riding a unicorn than to lose a file in S3.

What is cloud storage? It’s network-attached storage infrastructure that provides on-demand access to data through API calls or web interfaces.

There are three main types:

Storage type

What it does

Examples

Average cost

Object storage

Stores unstructured data as objects

Amazon S3, Google Cloud Storage, Azure Blob Storage

~$0.020–$0.023/GB/month

Block storage

High-performance storage for VMs, databases

Amazon EBS, Azure Managed Disks

~$0.05–$0.10/GB/month

File storage

Shared file systems across multiple instances

Amazon EFS, Azure Files

~$0.25–$0.35/GB/month

Costs vary by tier, region, and access frequency. For the full breakdown: cloud storage pricing comparison and GCP storage pricing. (Pro tip from what we see at CloudZero: storage is one of the sneakiest sources of cloud waste, teams spin up volumes for testing and forget they exist. Months later, you’re paying for terabytes of data nobody’s touched.)

Now that you understand what the cloud is and how it stores your data, the next question is: why should you use it in the first place?

What Are The Benefits Of Cloud Computing?

Companies adopt the cloud because it transforms technology from a capital expense (buy servers, pray they’re the right size) into an operating expense that scales with demand. See: CapEx Vs. OpEx In The Cloud: 10 Key Differences.

If you’re weighing the advantages and disadvantages of cloud computing, here’s the short version: the advantages of cloud computing overwhelmingly win for most workloads. The main disadvantage? It’s easy to overspend if you’re not watching, but we’ll cover that later.

Here’s what the upside of using the cloud looks like in practice:

1. Pay only for what you use

No upfront hardware purchases. No paying for servers that sit idle at 2% utilization on weekends. Cloud pricing works like your electricity bill, though admittedly, your electricity bill has never surprised you with a $47,000 line item for “data egress.”

2. Scale instantly

Need more capacity for Black Friday? Scale up in minutes. Traffic drops in January because everyone’s broke from the holidays? Scale back down. This elastic scaling eliminates the guessing game of capacity planning.

3. Launch faster

Provision infrastructure in minutes instead of weeks. Gartner notes that cloud use cases are expanding rapidly, driven by AI adoption, application modernization, and the shift to distributed, cloud-native environments — with 90% of organizations expected to adopt hybrid cloud by 2027.

4. Work from anywhere

Your files, applications, and databases are accessible from any internet-connected device. The cloud is the reason “remote work” became a thing and not just a euphemism for “checking email from the couch.”

5. Built-in disaster recovery

Cloud providers replicate data across multiple geographic regions automatically. If one data center has a bad day, your application keeps running on another one halfway around the world, no manual failover required.

6. Offload maintenance

Cloud providers handle security patches, hardware upgrades, and infrastructure management. Your team focuses on building products, not babysitting servers.

Those benefits sound great in theory, but the cloud isn’t one-size-fits-all. How much responsibility you take on depends on which delivery model you choose.

Cloud Delivery Models: What Are The Four Cloud Computing Services?

There are four cloud computing services models, and the difference is simple: how much of the technology stack do you want to manage yourself?

1. What is Infrastructure-as-a-Service (IaaS)?

IaaS is a cloud model where you rent servers, storage, and networking on demand and manage everything else yourself.

Maximum control, maximum responsibility. It’s like leasing an empty commercial kitchen: you bring the recipes, the ingredients, and the chef. The landlord just keeps the lights on.

Examples: AWS EC2, Google Compute Engine, Azure Virtual Machines, DigitalOcean.

2. What is Platform-as-a-Service (PaaS)?

PaaS provides a managed environment where developers build and deploy applications without managing the underlying infrastructure.

PaaS is the kitchen that comes fully equipped — ovens, fridges, countertops ready to go. You just cook.

Examples: Heroku, Google App Engine, AWS Elastic Beanstalk.

3. What is Software-as-a-Service (SaaS)?

SaaS delivers fully functional applications over the internet that you access through a browser without installing anything.

BetterCloud’s 2024 State of SaaSOps report found the average organization runs 106 SaaS apps, down from a peak of 130 in 2022 as IT teams consolidate redundant tools.

That’s a lot of browser tabs. For a deeper look at how these are built: SaaS architecture explained.

Examples: Gmail, Salesforce, Slack, Zoom, HubSpot, Dropbox.

4. What is serverless computing / Functions-as-a-Service (FaaS)?

Serverless computing runs your code on demand without you provisioning or managing any servers, and you pay only for execution time.

You write a function, upload it, and the platform executes it only when triggered, by an API call, a file upload, or a database event. Zero idle costs.

AWS Lambda charges $0.20 per million requests. Read more about what serverless is and why it’s reshaping how developers build applications.

Delivery models determine how much of the stack you manage. But there’s a separate decision: where your cloud resources live and how they’re organized.

Cloud Deployment Types: Public, Private, Hybrid, And Multi-Cloud

How you deploy cloud resources matters as much as which services you use. There are four approaches, and most organizations use more than one.

What is the public cloud?

A public cloud shares infrastructure among multiple organizations, reducing costs through economies of scale.

It’s the apartment building of computing, shared infrastructure, lower costs, someone else handles the plumbing. AWS, Azure, and GCP are all public cloud platforms.

What is the private cloud?

A private cloud dedicates all computing resources exclusively to a single organization.

No neighbors, no shared walls. Companies use private clouds for regulatory compliance (HIPAA, PCI DSS) and to keep sensitive data under tighter control.

What is a hybrid cloud?

Hybrid cloud combines public cloud services with private cloud or on-premise infrastructure, connected through networking.

A hospital might store patient records in a private cloud for compliance while running its public-facing website on AWS. Gartner predicts that 90% of enterprises will adopt a hybrid cloud approach by 2027. It’s not a compromise, it’s putting each workload where it performs best.

What is a multi cloud?

Multi cloud means using two or more public cloud providers simultaneously to run different workloads.

Maybe your AI models train on GCP, your core app runs on AWS, and your European data stays on Azure for GDPR compliance. This cloud agnostic approach prevents vendor lock-in and gives you access to each provider’s strengths, but managing costs and operations across multiple clouds is genuinely complicated without the right tooling.

Multi-cloud and hybrid cloud overlap frequently. For a deeper dive: multi-cloud management tools and our cloud management guide.

For more on planning your approach, see our cloud strategy guide.

Of course, not every workload belongs in the cloud. Many organizations, especially those CloudZero works with in regulated industries, run a mix of cloud and on-premise infrastructure. 

Understanding the trade-offs is critical.

Cloud Vs On-Premise: What’s The Difference?

This is the question every CTO eventually faces. Here’s the honest comparison:

Factor

Cloud

On Premise

Upfront cost

Low (pay-as-you-go)

High (hardware + installation)

Ongoing cost

Variable (usage-based)

Fixed (power, staff, maintenance)

Scalability

Minutes

Weeks to months

Control

Shared responsibility

Full ownership

Security

Provider secures infrastructure; you secure configuration

You secure everything

Maintenance

Provider handles updates

Your IT team handles all of it

Disaster recovery

Built-in multi-region replication

You build and maintain your own

Best for

Variable workloads, fast-growing teams

Strict compliance, legacy apps, air-gapped environments

Most organizations use a mix of both. The question isn’t “cloud or on-premise?” but “which workloads go where?”

One of the biggest factors in that decision is security, and it’s also the concern we hear most often from teams evaluating the cloud for the first time.

Is The Cloud Safe?

Short answer: yes, if you do your part.

Cloud computing security follows a shared responsibility model. The provider secures the physical infrastructure — the buildings, the hardware, the networking. You’re responsible for configuring access controls, encrypting data, and not leaving your S3 buckets open to the entire internet (which happens more often than anyone wants to admit).

Major cloud providers invest billions in security. All three hyperscalers hold SOC 2, ISO 27001, HIPAA, and FedRAMP certifications. AWS alone employs thousands of security engineers dedicated to protecting customer infrastructure around the clock.

But here’s the uncomfortable truth: IBM’s Cost of a Data Breach report found that cloud misconfigurations were one of the top three most common initial attack vectors — alongside stolen credentials and phishing, with the average breach costing $4.88 million overall. The cloud is secure; human error is not.

To keep your cloud environment locked down: enable multi-factor authentication everywhere, follow the principle of least privilege, encrypt data at rest and in transit, audit configurations with cloud monitoring tools, and monitor for spending anomalies (which often signal unauthorized usage).

At CloudZero, we’ve seen cases where unexpected cost spikes were the first indicator of a security breach, someone spinning up crypto-mining instances on a compromised account. Cost visibility isn’t just a finance tool; it’s a security layer.

With security covered, the next question is which provider to trust with your workloads.

What Are The Top Cloud Service Providers?

Three cloud computing platforms dominate the market, holding approximately 63% of global cloud infrastructure revenue (Synergy Research Group, Q3 2025).

Amazon Web Services (AWS)

The largest cloud service provider at ~31% market share. AWS offers 200+ services spanning compute, storage, databases, machine learning, and more. It operates 34 regions and 108 availability zones globally.

Microsoft Azure

~20% market share. Azure is deeply integrated with the Microsoft ecosystem — Windows Server, Active Directory, Office 365, Power Platform. If your organization already runs on Microsoft, Azure is the path of least resistance.

See our AWS vs Azure pricing guide for a head-to-head comparison.

Google Cloud Platform (GCP)

~12% market share. GCP leads in data analytics (BigQuery), machine learning (Vertex AI), and Kubernetes — which Google created and offers through Google Kubernetes Engine (GKE).

Other Providers

Alibaba Cloud holds ~4% globally and dominates Asia-Pacific. Oracle Cloud (OCI) targets enterprise Oracle database workloads. IBM Cloud specializes in hybrid cloud and regulated industries. DigitalOcean serves developers and small businesses with simpler pricing.

Choosing a provider is one thing. Understanding what you’ll actually pay is another, and this is where most teams get tripped up. Each provider has its own pricing model, its own discounting structures, and its own way of making the bill nearly impossible to decipher. (At CloudZero™, we built our entire platform around solving this problem.)

How Much Does Cloud Computing Cost?

The honest answer: it depends. But here are real benchmarks so you’re not flying blind:

Metric

Number

Source

Average enterprise cloud spend

~30% spend over $50M/year

FinOps Foundation 2025

Average cloud waste

28% of total spend

CloudZero State of Cloud Cost

Cheapest VM (AWS)

Starting at ~$0.0042/hour (t4g.nano, Linux, us-east-1)

AWS

Standard object storage

$0.023/GB/month (S3 Standard)

AWS

Data transfer (outbound)

$0.09/GB (first 10TB, tiered pricing after)

AWS

Serverless computing execution

$0.20 per million requests (+ compute duration)

AWS

The biggest cost driver isn’t unit pricing, it’s utilization. Companies that actively practice FinOps save 20–30% annually without reducing capability (FinOps Foundation, State of FinOps 2025). 

Across the $14 billion in cloud spend CloudZero monitors, we consistently see the same pattern: the companies with the lowest cost-per-customer aren’t the ones spending less, they’re the ones who can actually see what each dollar buys.

For the complete cost picture: the cost of cloud computing.

Those numbers are eye-opening, but the real story isn’t what cloud computing costs. It’s how much of that spend is avoidable.

How To Control And Optimize Your Cloud Costs

The cloud makes it dangerously easy to overspend. Spinning up resources takes seconds; remembering to turn them off takes… well, most companies never do. That’s how cloud waste silently eats through budgets across the industry.

Native cloud tools (AWS Cost Explorer, Azure Cost Management) show you what you spent. They don’t tell you why, or connect that spending to anything your business actually cares about.

“The companies that win at cloud economics aren’t the ones spending less — they’re the ones who understand what they’re spending and why. Cost visibility is the foundation of every other optimization.” — Erik Peterson, CTO and Co-founder of CloudZero

CloudZero solves this by mapping cloud costs to business dimensions: cost per customer, feature, product, team, environment etc. It works across AWS, Azure, GCP, Kubernetes, Snowflake, Databricks, Datadog, and 30+ other services through a unified data model, without requiring perfect tagging.

What this looks like in practice:

  • Allocate 100% of spend, including shared costs and untaggable resources, using a code-driven approach
  • Track unit economics — know what each customer, product, or feature costs so you can make pricing and margin decisions with real data

  • Detect anomalies instantly — catch unexpected spend spikes before they blow through budgets

  • Forecast and budget by team — set guardrails and track actual vs. projected spend in real time

CloudZero is the cloud cost intelligence platform trusted by companies managing over $14 billion in cloud spend, including Coinbase, Duolingo, Grammarly, Toyota, Nubank and more. to see CloudZero in action. You can also get a free cloud cost assessment to find where you’re overspending.

Cloud Computing FAQs

FinOps In The AI Era: A Critical Recalibration

What 475 executives told us about AI and cloud efficiency.