Cloud Computing Fundamentals
Cloud computing is the foundation of modern DevOps. Understanding the service models (IaaS, PaaS, SaaS), deployment models, and the operational model of the three major cloud providers is essential for every DevOps engineer.
Cloud Service Models
- IaaS (Infrastructure as a Service): Raw virtual machines, storage, networking. You manage OS, runtime, and app. Examples: AWS EC2, Azure VMs, GCP Compute Engine
- PaaS (Platform as a Service): Managed runtimes and databases — you only manage code. Examples: AWS Elastic Beanstalk, Google App Engine, Heroku, Railway
- SaaS (Software as a Service): Complete software delivered via internet. You manage nothing. Examples: GitHub, Slack, Datadog, Salesforce
- Serverless (FaaS): Run functions without managing servers. Pay per invocation. Examples: AWS Lambda, Google Cloud Functions, Azure Functions
- Containers as a Service: Managed container orchestration. Examples: AWS ECS/EKS, Google GKE, Azure AKS
Cloud Provider Comparison
// The three major cloud providers (2026 market share)
const cloudProviders = {
AWS: {
marketShare: "31% (leader)",
strengths: ["Widest service catalog (200+ services)", "Largest ecosystem and community", "Most mature IAM and security features", "Best DevOps tool integration (CodePipeline, CodeBuild)"],
popularServices: ["EC2", "S3", "RDS", "Lambda", "EKS", "CloudFront", "Route53"],
certification: "AWS Solutions Architect (SAA-C03) — most valuable",
bestFor: "Most use cases, especially startups and enterprises",
},
GCP: {
marketShare: "11% (growing fast)",
strengths: ["Best Kubernetes (Google invented K8s)", "Superior data/ML services (BigQuery, Vertex AI)", "Best global networking infrastructure", "Anthos for hybrid/multi-cloud"],
popularServices: ["GKE", "Cloud Run", "BigQuery", "Cloud SQL", "Pub/Sub", "Cloud Spanner"],
certification: "GCP Professional Cloud Architect",
bestFor: "ML/AI workloads, analytics, Kubernetes-heavy teams",
},
Azure: {
marketShare: "22%",
strengths: ["Best Microsoft integration (Active Directory, .NET, SQL Server)", "Hybrid cloud (Azure Arc, on-premises)", "Strong enterprise sales relationships"],
popularServices: ["Azure VMs", "AKS", "Azure SQL", "Azure AD", "Azure DevOps", "Cosmos DB"],
certification: "AZ-104 Administrator / AZ-305 Architect",
bestFor: "Microsoft shops, enterprises with Windows/SQL Server",
},
};Quick Quiz
Tip
Tip
Practice Cloud Computing Fundamentals in small, isolated examples before integrating into larger projects. Breaking concepts into small experiments builds genuine understanding faster than reading alone.
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Practice Task
Note
Practice Task — (1) Write a working example of Cloud Computing Fundamentals from scratch without looking at notes. (2) Modify it to handle an edge case (empty input, null value, or error state). (3) Share your solution in the Priygop community for feedback.
Common Mistake
Warning
A common mistake with Cloud Computing Fundamentals is skipping edge case testing — empty inputs, null values, and unexpected data types. Always validate boundary conditions to write robust, production-ready devops code.
Key Takeaways
- Cloud computing is the foundation of modern DevOps.
- IaaS (Infrastructure as a Service): Raw virtual machines, storage, networking. You manage OS, runtime, and app. Examples: AWS EC2, Azure VMs, GCP Compute Engine
- PaaS (Platform as a Service): Managed runtimes and databases — you only manage code. Examples: AWS Elastic Beanstalk, Google App Engine, Heroku, Railway
- SaaS (Software as a Service): Complete software delivered via internet. You manage nothing. Examples: GitHub, Slack, Datadog, Salesforce