Busy Architect’s Guide to the Cloud Offerings
summary
Overview of practical cloud tradeoffs: compares Amazon Web Services, Azure and Google Cloud, plus Heroku, Salesforce, Parse and Meteor; highlights Docker, S3, regional latency and vendor SDKs; shows that cloud buys economies of scale but creates architecture shifts from lift-and-shift to serverless vs lift-and-shift; gives a concrete cautionary war story where spinning up 10,000 micro instances leads to a $2 million bill; notes vendor controls like billing limits and an announced S3 URL change and stresses turning instances off, testing, and data locality.
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chapters (33)
- 0:00Introduction
- 2:14Core Terms
- 4:55Economies of Scale
- 6:58Get More Easily
- 10:05Dirt
- 14:39Cloud Models
- 17:47Platform as a Service
- 20:55What is the Cloud
- 23:12The fallacies of distributed computing
- 24:58Multitenant vs singletenant
- 27:45Elasticity
- 30:14Regionalization
- 31:53Service Level Agreement
- 34:25Cloud vs Private
- 35:55Blobs and Tables
- 38:16Playing to the Cloud
- 40:19What else do you need
- 41:07Debugging
- 42:59Basic Overview
- 44:34Services
- 46:57Command Line Tool
- 48:06Machine Learning
- 49:23Azure Documentation
- 50:49Forscom
- 51:42Heroku
- 52:08App Harbor
- 52:38Cloud Meteor
- 52:49Meteor JS
- 53:23Key Idea
- 53:50What you dont get
- 54:31A terrible thing
- 54:41Parse
- 55:27Conclusion
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