☁️
Cloud Computing
12 Parts · 39 Chapters
🗺️Territory Map▾
Ch 0 — The Map of Cloud Computing
🎯⚡
☁️Cloud Fundamentals▾
Ch 1 — What Is Cloud Computing?
🎯
Ch 2 — Service Models: IaaS, PaaS, SaaS
⚡
Ch 3 — Deployment Models
Ch 4 — Regions, Zones & Edge
⚡
💻Virtualization & Compute▾
Ch 5 — Virtualization & Hypervisors
🎯⚡
Ch 6 — Virtual Machines
Ch 7 — Instance Types & Pricing
⚡
Ch 8 — Autoscaling & Elasticity
⚡
🌐Cloud Networking▾
Ch 9 — VPCs & Subnets
⚡
Ch 10 — Load Balancing & DNS
Ch 11 — CDNs & Edge
⚡
Ch 12 — Hybrid Connectivity
💾Cloud Storage▾
Ch 13 — Block, File & Object Storage
⚡
Ch 14 — Storage Tiers & Lifecycle
Ch 15 — Backup, Snapshots & DR
📦Containers & Orchestration▾
Ch 16 — Containers
🎯⚡
Ch 17 — Kubernetes Fundamentals
🎯⚡
Ch 18 — Service Mesh & Ingress
Ch 19 — Managed Kubernetes
⚡Serverless & PaaS▾
Ch 20 — Serverless Functions
🎯⚡
Ch 21 — PaaS & App Platforms
Ch 22 — Event-Driven Architecture
🧠Cloud Data & AI▸
🔒Security, Identity & Compliance▸
🛡️Reliability & Operations▸
💰Cost & FinOps▸
🚀Multi-Cloud & Frontier▸
Chapters read0/39
☁️ Infrastructure path

Cloud Computing

A visual route from primitives and networks to resilient, observable platforms.

12 parts39 chapters39 terms
☁️
IaaSVPCAPIK8sSLO
Infrastructure → platform → production
Version 1.0 · 2026

12 parts · 39 chapters · From Data Centers to Planetary-Scale Platforms

39
Chapters
12
Parts
9
Quizzes
39
Terms
📍 Choose a Learning Path
Beginner Path
Foundations, service models, virtualization
Engineer Track
Networking, containers, K8s, serverless
Architect Route
Security, reliability, cost, multi-cloud
AI/Data Track
Data lakes, cloud AI, platform engineering
🗺️Part 0 — Territory Map
⚡🎯
Ch 0
The Map of Cloud Computing
From physical racks to planetary-scale software systems
☁️Part 1 — Cloud Fundamentals
🎯
Ch 1
What Is Cloud Computing?
The NIST definition and the five essential characteristics
⚡
Ch 2
Service Models: IaaS, PaaS, SaaS
How much of the stack you manage vs. the provider manages
Ch 3
Deployment Models
Public, private, hybrid, and multi-cloud — and when each wins
⚡
Ch 4
Regions, Zones & Edge
The physical geography of cloud and why it matters
💻Part 2 — Virtualization & Compute
⚡🎯
Ch 5
Virtualization & Hypervisors
How one physical server becomes hundreds of isolated machines
Ch 6
Virtual Machines
Isolated compute with a full OS — the workhorse of IaaS
⚡
Ch 7
Instance Types & Pricing
Families, sizes, and the four pricing models
⚡
Ch 8
Autoscaling & Elasticity
Matching capacity to demand — the core promise of cloud
🌐Part 3 — Cloud Networking
⚡
Ch 9
VPCs & Subnets
Your private, software-defined network inside the cloud
Ch 10
Load Balancing & DNS
Distributing traffic and resolving names at planetary scale
⚡
Ch 11
CDNs & Edge
Caching the internet close to users
Ch 12
Hybrid Connectivity
VPN, Direct Connect, and private interconnects
💾Part 4 — Cloud Storage
⚡
Ch 13
Block, File & Object Storage
The three storage primitives — and when each fits
Ch 14
Storage Tiers & Lifecycle
Hot, cool, cold, archive — matching cost to access
Ch 15
Backup, Snapshots & DR
Durability is not backup. Replication is not DR.
📦Part 5 — Containers & Orchestration
⚡🎯
Ch 16
Containers
Namespaces, cgroups, and OCI images
⚡🎯
Ch 17
Kubernetes Fundamentals
Declarative orchestration — the OS of the cloud
Ch 18
Service Mesh & Ingress
mTLS, retries, traffic shifting — without changing app code
Ch 19
Managed Kubernetes
EKS, GKE, AKS — what the cloud runs for you
⚡Part 6 — Serverless & PaaS
⚡🎯
Ch 20
Serverless Functions
Event-driven compute with no servers to manage
Ch 21
PaaS & App Platforms
Heroku, App Runner, Cloud Run, Beanstalk
Ch 22
Event-Driven Architecture
Queues, streams, pub/sub, and event buses
🧠Part 7 — Cloud Data & AI
Ch 23
Managed Databases
RDS, DynamoDB, BigQuery, and the trade space
Ch 24
Data Lakes & Lakehouses
Object storage + open table formats = analytics at scale
Ch 25
Cloud AI/ML Services
From raw GPUs to fully managed model endpoints
🔒Part 8 — Security, Identity & Compliance
⚡🎯
Ch 26
IAM & Identity
Who can do what, on which resource, under which conditions
Ch 27
Network Security
Security groups, WAF, private endpoints, zero trust
Ch 28
Compliance & Governance
SOC 2, HIPAA, GDPR, FedRAMP — and how to actually comply
🛡️Part 9 — Reliability & Operations
⚡
Ch 29
Reliability Engineering in Cloud
SLIs, SLOs, error budgets, and graceful degradation
🎯
Ch 30
Observability
Logs, metrics, traces, and the three pillars
Ch 31
CI/CD & Infrastructure as Code
Ship safely, repeatedly, and reversibly
💰Part 10 — Cost & FinOps
⚡🎯
Ch 32
Cloud Cost Model
The seven cost drivers of every cloud bill
Ch 33
FinOps
Making cloud cost a first-class engineering metric
🚀Part 11 — Multi-Cloud & Frontier
Ch 34
Multi-Cloud & Portability
The promise, the cost, and the reality
Ch 35
Edge & 5G
Compute where the user is — not where the datacenter is
Ch 36
Sustainability & Green Cloud
Carbon-aware computing is becoming a procurement requirement
Ch 37
Platform Engineering
Building the internal developer platform that makes cloud usable
Ch 38
The Cloud Frontier
Where cloud is heading in the next decade