Cloud computing is the delivery of computing services (servers, storage, databases, networking, software, and analytics) over the internet rather than from a physical computer or local server you own and manage. When you save a file to Google Drive, stream a video on Netflix, or send an email through Gmail, you are using cloud computing.
The “cloud” refers to servers hosted in data centers around the world, which you access remotely through your internet connection. As of 2026, the global cloud computing market is valued at over $700 billion and is used by approximately 94% of enterprises worldwide.
Let’s get into more details.
Why Was Cloud Computing Created and Why Does It Matter?
Before cloud computing, every organization that needed computing resources had to buy, install, and maintain its own physical servers. This was expensive, slow to scale, and required dedicated IT staff to manage hardware. If demand suddenly spiked, a product launch, a viral moment, a seasonal rush, you either had too little capacity and your service crashed, or you had bought more servers than you needed and they sat idle most of the year.
Cloud computing changed this by allowing organizations to rent computing resources on-demand and pay only for what they use, exactly when they need it.
A startup can launch a global web application without buying a single server. A retailer can scale up to handle Black Friday traffic and scale back down the next day. A research team can run a massive computation job overnight and pay only for those hours. This pay-as-you-go model and instant scalability are the core reasons cloud computing became the default infrastructure for virtually every technology product built in the last decade.
What Are the 3 Main Types of Cloud Computing Services?
Cloud computing services are divided into three main categories based on how much of the infrastructure stack the provider manages for you.
Infrastructure as a Service (IaaS) gives you raw computing infrastructure (virtual machines, storage, and networking) that you configure and manage yourself. You have the most control but also the most responsibility. AWS EC2 (virtual servers), Google Cloud Compute Engine, and Microsoft Azure Virtual Machines are IaaS products. This is the cloud equivalent of renting the building and furnishing it yourself.
Platform as a Service (PaaS) provides a managed environment where you deploy your application code without managing the underlying servers, operating system, or runtime. The cloud provider handles patching, scaling, and infrastructure management. Heroku, Google App Engine, and AWS Elastic Beanstalk are PaaS products. This is the cloud equivalent of renting a fully furnished office, you bring your work, not your furniture.
Software as a Service (SaaS) delivers complete applications over the internet that you use through a browser or app without managing any infrastructure at all. Gmail, Slack, QuickBooks Online, Salesforce, and Dropbox are all SaaS products. You pay a subscription, log in, and use the software — the entire infrastructure layer is invisible to you.
Who Are the Major Cloud Providers?
Three companies dominate the cloud computing market, with a combined market share of over 65% of global cloud infrastructure revenue.
- Amazon Web Services (AWS): The market leader with roughly 31% share. Launched in 2006, AWS has the broadest service catalog — over 200 services covering computing, storage, databases, AI, machine learning, and more. Used by Netflix, Airbnb, NASA, and millions of other organizations.
- Microsoft Azure: Second largest with roughly 25% market share. Deep integration with Microsoft products (Office 365, Active Directory, Teams) makes it the top choice for enterprise organizations already in the Microsoft ecosystem.
- Google Cloud Platform (GCP): Third with roughly 11% share. Known for its data analytics, AI, and machine learning capabilities — BigQuery (data warehouse), Vertex AI, and Kubernetes Engine (Google invented Kubernetes). Used heavily by data-intensive organizations.
Beyond the top three, Cloudflare dominates the edge computing and CDN space, Oracle Cloud targets database-heavy enterprise workloads, and IBM Cloud serves regulated industries with compliance requirements.
What Are the 4 Cloud Deployment Models?
Cloud computing is deployed in four main configurations depending on who can access the infrastructure and who manages it.
- Public cloud: Infrastructure owned and operated by a third-party provider (AWS, Azure, GCP) and shared across multiple customers. Most cost-effective; most scalable. What most people mean when they say “the cloud.”
- Private cloud: Infrastructure dedicated to a single organization, either hosted on-premises or by a managed provider. Higher cost and more control — used by banks, hospitals, and government agencies with strict data compliance requirements.
- Hybrid cloud: A combination of public and private cloud, with data and applications able to move between them. Organizations keep sensitive workloads on private infrastructure while using public cloud for scalable general workloads.
- Multi-cloud: Using services from two or more cloud providers simultaneously. Common in large enterprises to avoid vendor lock-in and use the best service from each provider.
How Does Cloud Computing Relate to Containers and DevOps?
Cloud computing and modern software development practices are deeply intertwined.
Containers — particularly Docker containers package applications so they run consistently across any cloud environment.
Container orchestration with Kubernetes automates the deployment and scaling of those containers across cloud infrastructure. CI/CD pipelines build and test code automatically, then deploy it to cloud environments without manual steps.
This stack (cloud infrastructure, containers, orchestration, and automated pipelines) is the foundation of how virtually all modern software is built and delivered. Understanding cloud computing basics gives you the conceptual foundation to understand why each of these tools exists and how they fit together.
If you are learning software engineering in today’s time, cloud literacy is not an advanced topic, it is a baseline expectation in the industry.
