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Optimizing Developer Efficiency
Jonathan LeBlanc
Head of Developer Evangelism (North America)
Github: http://github.com/jcleblanc
Slides: http://slideshare.net/jcleblanc
Twitter: @jcleblanc
Through API Design
In the beginning…there was SOAP
SOAP
In the Beginning…there was SOAP
Then the enlightenment happened
Then the Enlightenment Happened
The natives got RESTless
All Aboard the REST Train!
The witch hunt never RESTed
People began to treat REST like a religion
People Treated it as a Religion
The principles of REST are a guide
REST Principles are a Guide
Developer efficiency task 1
Lowering perceived latency for developers
Lowering Perceived Latency
Developer efficiency task 2
Use HTTP properly – standard request and
response types
Use HTTP Properly
Developer efficiency task 3
Building in automation – using HATEOAS
Building in Automation
Developer efficiency task 4
Offload complexity to the implementing
provider
Offload Complexity

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Optimizing Developer Efficiency Through API Design

Notas del editor

  1. In the days of XML, when REST was in its infancy
  2. Then REST came alongHey, my life doesn’t need to suck when I’m using other people’s stuff
  3. Companies jumped on the bandwagon without understanding what they were talking about (yeah we support REST – GET / POST). If you say that you can march your ass right on home
  4. As we redesigned our APIs, the REST standards became a guide for us. Developer ease became a guiding standardThat’s the point, you’re not tying to develop the perfect system, you’re trying to develop the perfect system for your users
  5. Lowering percieved latency for developers
  6. Use HTTP properly – standard request and response types
  7. Building in automation, using HATEOAS
  8. Offload complexity to the implementing provider