15. Broader tech (bonus)
Topics outside the immediate web-dev + AI scope, but useful to have a working understanding of. Light coverage — just enough to follow conversations and know when to dive deeper.
Entries
| # | Entry | Status | One-line description |
|---|---|---|---|
| 1 | What is “the cloud”? | 🟩 COMPLETE 🟦 LIVING | Renting other people’s computers, demystified — AWS, GCP, Azure |
| 2 | Containers & Docker | 🟩 COMPLETE | ”Shipping the whole environment” — what containers actually are |
| 3 | Operating systems — overview | 🟩 COMPLETE | What an OS does, why Linux dominates servers, the kernel |
| 4 | Mobile development — overview | 🟩 COMPLETE 🟦 LIVING | iOS vs Android, native vs cross-platform (React Native, Flutter) |
| 5 | Game dev — overview | 🟩 COMPLETE 🟦 LIVING | Engines (Unity, Unreal), why games are different from CRUD apps |
| 6 | Low-code & no-code | 🟩 COMPLETE 🟦 LIVING | Tools that let non-coders ship: Bubble, Webflow, Glide, etc. |
Suggested reading order
3 → 1 → 2 → 6 → 4 → 5. The “OS → cloud → containers” arc is the most concept-clarifying.
Cloud and AI infrastructure vendor entries (Phase I)
| # | Entry | Status | One-line |
|---|---|---|---|
| 7 | 🇺🇸 AWS | 🟩 🟦 | Amazon Web Services — world’s largest cloud |
| 8 | 🇺🇸 Microsoft Azure | 🟩 🟦 | Microsoft’s cloud; OpenAI partnership; enterprise-dominant |
| 9 | 🇺🇸 Google Cloud Platform | 🟩 🟦 | Google’s cloud; strong AI with Vertex; Tensor TPUs |
| 10 | 🇺🇸 Oracle Cloud | 🟩 🟦 | Enterprise database → cloud; AI infrastructure |
| 11 | 🇺🇸 IBM watsonx | 🟩 🟦 | Enterprise AI platform; Watson legacy; governance tools |
| 12 | 🇺🇸 Amazon Q | 🟩 🟦 | AWS’s AI assistant for business and development |
| 13 | 🇺🇸 AWS Bedrock | 🟩 🟦 | Managed AI models on AWS; Claude, Llama, Titan in one API |
| 14 | 🇺🇸 Azure OpenAI Service | 🟩 🟦 | GPT-4 and other OpenAI models hosted in Azure data centres |
| 15 | 🇺🇸 Azure AI Foundry | 🟩 🟦 | Microsoft’s AI model hub; deploy any model on Azure |
| 16 | 🇺🇸 Google Vertex AI | 🟩 🟦 | Google’s managed AI platform; Gemini + third-party models |
| 17 | 🇺🇸 Modal | 🟩 🟦 | Serverless GPU compute; run Python that needs GPUs |
| 18 | 🇺🇸 Lambda Labs | 🟩 🟦 | GPU cloud for AI training; competitive pricing |
| 19 | 🇺🇸 RunPod | 🟩 🟦 | Individual developer GPU rental; cheapest entry point |
| 20 | 🇺🇸 Cerebras | 🟩 🟦 | Wafer-scale AI chip; fastest LLM inference; 20-40× GPU speed |
| 21 | 🇺🇸 CoreWeave | 🟩 🟦 | GPU cloud specialist; enterprise AI training; NVIDIA partner |
| 22 | 🇺🇸 Microsoft Recall | 🟩 🟦 | AI “photographic memory” for your PC; controversial; opt-in |
| 23 | 🇺🇸 Copilot+ PCs | 🟩 🟦 | Microsoft’s AI PC standard; on-device AI with NPU |
See also
- 06. Hosting & deployment — the cloud applied to web hosting
- 01. Foundations — Operating systems intro
- 10. AI & LLMs — AI models that run on this infrastructure