Rapid Api Quotes

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2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.
Colin Bryar (Working Backwards: Insights, Stories, and Secrets from Inside Amazon)
In a 2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.
Colin Bryar (Working Backwards: Insights, Stories, and Secrets from Inside Amazon)
since transactions on today’s platforms are conducted through application programming interfaces (APIs) rather than person-to-person negotiations, they proceed swiftly, seamlessly, and in incredible volumes, all with barely any human intervention. If a platform achieves scale and becomes the de facto standard for its industry, the network effects of compatibility and standards (combined with the ability to rapidly iterate and optimize the platform) create a significant and lasting competitive advantage that can be nearly unassailable. This dominance lets the market leader “tax” all the participants who want to use the platform, much as levies were imposed in the bygone Republic of Venice. For example, the iTunes store takes a 30 percent share of the proceeds whenever a song, a movie, a book, or an app is sold on that platform. These platform revenues tend to have very high gross margins,
Reid Hoffman (Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies)