Glossary Cloud & DevOps
Cloud & DevOps

What is Cloud Computing?

Cloud computing is the on-demand delivery of computing resources — servers, storage, databases, networking, and software — over the internet on a pay-as-you-go basis.

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Simran

Technical SEO & AI Strategist

What is Cloud Computing?

Cloud computing is the delivery of computing services — including servers, storage, databases, networking, software, analytics, and intelligence — over the internet, offering faster innovation, flexible resources, and economies of scale. Instead of owning and maintaining physical data centers and servers, businesses can rent access to computing resources from cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), paying only for what they use. This paradigm shift has fundamentally transformed how organizations build, deploy, and scale applications.

Types of Cloud Computing Services

Cloud computing is typically categorized into three service models. Infrastructure as a Service (IaaS) provides virtualized computing resources — virtual machines, storage, and networks — giving businesses maximum control over their infrastructure. Platform as a Service (PaaS) offers a managed platform for developing and deploying applications without managing underlying infrastructure. Software as a Service (SaaS) delivers complete software applications over the internet on a subscription basis. Each model offers different levels of abstraction and management responsibility, allowing businesses to choose the right balance of control and convenience.

Why Cloud Computing Matters for Business

Cloud computing delivers transformative business benefits by eliminating upfront capital expenditure on hardware and shifting to operational expense models. Businesses can scale resources up or down instantly based on demand, avoiding over-provisioning or capacity constraints. Cloud providers offer built-in security, compliance, and disaster recovery capabilities that would be prohibitively expensive for individual organizations to implement. For startups and growing businesses, cloud computing democratizes access to enterprise-grade infrastructure, enabling them to compete with larger organizations on technology capability without equivalent investment.

Cloud Deployment Models

Beyond service models, organisations must choose the right deployment model for their needs. Public cloud services are delivered over the public internet and shared across multiple customers, offering maximum scalability and cost efficiency. Private cloud provides dedicated infrastructure for a single organisation, offering greater control and compliance for sensitive workloads. Hybrid cloud combines public and private cloud environments, allowing data and applications to be shared between them — this approach is popular for organisations that need to keep sensitive data on-premises while leveraging public cloud for burst capacity. Multi-cloud strategies use services from multiple cloud providers to avoid vendor lock-in and optimise for specific workload requirements. Each model involves trade-offs between cost, control, security, and complexity.

Cloud Cost Management and Optimisation

While cloud computing eliminates upfront capital expenditure, unchecked usage can lead to unexpectedly high operational costs. Cloud cost management — often called FinOps — brings together finance, engineering, and business teams to manage cloud spending collaboratively. Key practices include right-sizing resources to match actual usage, using auto-scaling to match demand, taking advantage of reserved instances for predictable workloads, and leveraging spot instances for fault-tolerant batch processing. Setting budget alerts and using cloud provider cost explorer tools helps track spending in real time. Tagging resources by project, department, or environment enables accurate cost allocation and chargeback. Regular cost reviews and removing unused resources — such as orphaned storage volumes or idle load balancers — prevent waste and maximise the financial benefits of cloud computing.

Cloud & Infrastructure Checklist

Key execution checkpoints associated with this concept:

Configure automated CI/CD pipelines with linting, testing, and build stages.
Package applications in Docker containers for consistent deployment across environments.
Implement monitoring, alerting, and log aggregation for real-time observability.
Set up automated backup schedules and disaster recovery procedures.

Common Inquiries & Answers

What is the difference between cloud and on-premise hosting?
Cloud hosting runs applications on virtualised servers managed by providers like AWS or GCP, offering auto-scaling, pay-as-you-go pricing, and global CDN distribution. On-premise hosting keeps servers physically on-site, giving full control but requiring upfront hardware investment and ongoing maintenance.
How does containerisation improve deployment?
Containerisation (Docker) packages an application with all its dependencies into a portable unit that runs identically on any environment — developer laptop, staging, or production. This eliminates 'it works on my machine' issues and enables rapid, reliable deployments.
What is the purpose of CI/CD pipelines?
Continuous Integration and Continuous Deployment (CI/CD) automate the build, test, and deployment process. Every code change triggers automated tests and linting, then deploys to production if all checks pass. This reduces manual errors, accelerates releases, and ensures code quality.
What is infrastructure as code (IaC)?
IaC manages cloud infrastructure (servers, networks, databases) through version-controlled configuration files instead of manual setup. Tools like Terraform and AWS CloudFormation let teams provision and replicate environments consistently, reducing configuration drift and human error.
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