Software at Scale
summary
Argues that modern internet scale forces new, open solutions: early software sharing (the Share Group), IBM unbundling in 1969, then Amazon (1994), Google (1998) and Facebook (2004) create problems that require many machines not bigger ones. Highlights Google papers that spawn Hadoop (MapReduce + GFS), cost and talent drive adoption, and shows Oracle’s software revenue mix falling from 71¢ to <38¢ of each dollar for new licenses, so monetization shifts to services and raises lock‑in risks.
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chapters (11)
- 0:00Introduction to scale
- 1:04The history of software
- 3:22Commercial software era
- 5:13The internet revolution
- 7:01Learning from unknowns
- 9:24Solving for scale
- 12:33Incentives for openness
- 17:35Open source as the default
- 20:45The difficulty of selling
- 25:17Shift to services
- 26:55Future of open source
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