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Deep-dive coverage organized by cloud provider and tooling. Each platform hub collects breakdowns, comparisons, and hands-on guides in one place.
The broadest cloud platform — compute, storage, databases, and 200+ services.
Enterprise cloud with deep Microsoft 365 and Entra identity integration.
Data, AI, and Kubernetes-native infrastructure from the company behind K8s.
OCI — enterprise databases, a generous free tier, and high-performance compute.
CDN, DNS, Zero Trust, and edge compute with Workers and R2 storage.
In-depth coverage of cloud platforms and infrastructure tooling — researched, cited, and written to help teams build and operate safely.
The starting point: what cloud computing is, and how the IaaS, PaaS, and SaaS service models differ in what you manage versus what the provider runs.
How security duties split between the cloud provider and the customer, and how that line shifts across IaaS, PaaS, and SaaS.
What regions and availability zones are, how they affect resilience and latency, and why data residency matters for compliance.
Amazon's cloud platform: core compute, storage, and database services, how its pricing models work, and its global region footprint.
Amazon's resizable cloud compute: instance types, On-Demand vs Savings Plans vs Spot pricing, and use cases.
Object storage explained: buckets, the storage classes from Standard to Glacier Deep Archive, durability, and pricing.
Serverless, event-driven compute: triggers, the request + GB-second pricing model, and the free tier.
Microsoft's cloud platform: its service catalog, subscription and pricing structure, and how it fits into the wider Microsoft ecosystem.
On-demand cloud VMs: families and sizes, OS support, and pay-as-you-go vs Reserved vs Spot pricing.
Object storage: the Hot, Cool, Cold and Archive tiers, redundancy options, and how pricing works.
Google's cloud platform: its core compute, data, and Kubernetes services, plus how its pricing approach compares with other providers.
Google Cloud's VMs: machine families, per-second billing, committed-use and Spot discounts, and the free tier.
Serverless data warehouse: how queries and storage are priced, on-demand vs Editions, and the free tier.
Oracle's cloud platform: its compute and database services, free tier, and where it fits relative to the larger hyperscalers.
Cloudflare's edge platform: its CDN, DNS, Zero Trust security products, and the Workers compute platform, and how they fit a modern stack.
Edge serverless on V8 isolates: no cold starts, free vs paid pricing, and what you can build.
Services, pricing models, ecosystem and global reach compared, with guidance on which cloud fits your team.
Object storage compared: storage classes, redundancy, minimum durations and egress pricing.
Cloud data warehouses compared: pricing meters, serverless options and free tiers.
VMs vs serverless on AWS: how each is priced, and when to choose persistent compute over functions.
Complementary, not rivals: Docker builds and runs containers; Kubernetes orchestrates them at scale.
Infrastructure as code compared: HCL vs real programming languages, state, providers and pricing.
Pods, Services, Deployments, and kubectl: the complete beginner's guide to container orchestration in 2026.
HCL syntax, providers, state, modules and your first AWS deployment: a hands-on guide for IaC newcomers.
AWS, Azure, and GCP certification paths ranked by value, difficulty, and career impact. Beginner to architect.
Skills, tools, portfolio projects, and job search strategies for landing your first cloud engineering role in 2026.