AWS vs Azure vs Google. Does it Even Matter? Which to Use and Why
summary
Compares concrete tradeoffs: AWS edge and reach wins for global regions, availability-zone backbone and raw service depth; complex AWS tooling gives the most control but steeper learning and opaque billing; BigQuery + Firebase is fastest for analytics and game data pipelines; Azure + PlayFab is the simplest for game services, fast to onboard and strong on fraud/revenue tooling and Microsoft license credits; Google tends to be cheapest, AWS most configurable, Azure easiest to operate.
AI-written summary · about
chapters (8)
- 0:00Introduction and criteria
- 2:37Cloud infrastructure
- 5:14Service and deployment models
- 7:35Core service capabilities
- 11:09Networking, tools, and analytics
- 12:50Game development services
- 14:18Cost management and pricing
- 16:25Final selection strategy
related talks
03h 00mAWS vs GCP vs Azure
33mCloud Storage Choosing the Best
48mComparing Azure and AWS
11mCloud confused - differences between public cloud vendors
56mBusy Architect’s Guide to the Cloud Offerings
41mThe Hitchhiker's Guide to the Cloud
48mLambdas, Functions, Clouds, Oh My
38mWhat's Next after Cloud Meets Big Data
