Practical uses
- Host a scalable web application.
- Build a big data processing pipeline.
- Deploy ML services in production.
Pros and cons
What AWS does especially well — and the limits to anticipate.
Pros
- Most mature and feature-rich ecosystem.
- Nearly unlimited scalability.
- Many integrated services (AI, ML, big data).
- Large third-party marketplace.
- Enterprise support available.
Cons
- Pricing is complex and hard to predict.
- Steep learning curve.
- Bills can spiral without optimization.
- Strong vendor lock-in.
- Limited free support.
AWS: when it makes sense.
AWS suits complex, scalable projects; for simple needs, more transparent alternatives may be preferable.
Keep if
You need scalable cloud infrastructure.. You're building complex multi-service solutions.
Challenge if
You want simple and predictable billing.. Your infrastructure is very simple.
