What is Cloud Computing?
Cloud Computing is the delivery of computing resources — servers, storage, databases, networking, software, and AI services — over the internet on a pay-as-you-go basis, rather than owning and operating physical infrastructure.
Cloud Computing: Full Explanation
Cloud computing has transformed how organisations build and run technology. Before cloud, running a new application meant buying servers, setting up data centres, and managing all infrastructure in-house — a capital-intensive, slow process. Cloud services like AWS, Azure, and GCP allow organisations to provision the same resources in minutes and pay only for what they use.
The three major cloud platforms — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) — collectively serve over 60% of global cloud workloads. In India, AWS leads market share, followed by Azure (strong in Microsoft-ecosystem enterprises) and GCP (strong in data analytics and AI workloads).
For corporate teams, cloud computing is increasingly inseparable from AI adoption. Modern AI tools and platforms (AWS Bedrock, Azure OpenAI Service, Google Vertex AI) are cloud-native — they require cloud infrastructure to run at scale.
Key Facts About Cloud Computing
- ✓Cloud eliminates large upfront capital expenditure on hardware — shifting to operational expense.
- ✓The three service models are: IaaS (virtual machines, storage), PaaS (managed platforms), and SaaS (complete applications).
- ✓The three major platforms are AWS (widest service range), Azure (Microsoft ecosystem), and GCP (data/AI strength).
- ✓Cloud is the foundation for AI at scale — every major AI model and platform runs on cloud infrastructure.
- ✓Cost optimisation is a core skill: cloud bills can grow unexpectedly without governance and right-sizing.
- ✓India has cloud data centre regions for all three major providers, enabling data residency compliance.
How Cloud Computing Works
Cloud providers own massive data centres worldwide. They virtualise physical resources using hypervisors and container orchestration, allowing thousands of customers to share the same physical hardware with complete isolation.
Customers access resources via APIs, SDKs, web consoles, and CLI tools. Billing is metered: you pay for the CPU seconds, GB of storage, and API calls you consume. Unused resources can be shut down instantly, eliminating waste.
Cloud services are organised into regions (geographic locations — e.g. ap-south-1 for Mumbai) and availability zones (separate data centres within a region for fault tolerance).
Real-World Example: IT Services
A mid-size IT services company in Pune migrated their client delivery infrastructure from on-premise data centres to AWS. Their cloud costs are 35% lower than equivalent on-premise infrastructure, provisioning time for new client environments dropped from 3 weeks to 2 hours, and they can now access AWS AI/ML services (SageMaker, Bedrock) without additional infrastructure investment.
Frequently Asked Questions
What is the difference between AWS, Azure, and GCP?
AWS has the largest market share and widest service catalogue. Azure is the default choice for Microsoft-stack organisations (Office 365, Active Directory, .NET). GCP leads in data analytics (BigQuery) and AI/ML infrastructure (Vertex AI, TPUs). See our detailed AWS vs Azure vs GCP comparison for a full breakdown.
Is my data safe in the cloud?
Major cloud providers invest far more in security than most enterprises can afford on-premise. However, cloud security is a shared responsibility: the provider secures the infrastructure; you are responsible for securing your data, applications, and access controls. Cloud security training is essential for anyone managing cloud resources.
What cloud certification should my team get?
For AWS teams: AWS Cloud Practitioner (foundational) or AWS Solutions Architect Associate. For Azure teams: AZ-900 Azure Fundamentals or AZ-104 Administrator. For GCP teams: Google Cloud Digital Leader or Associate Cloud Engineer. All are aligned with our corporate training programmes.