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Mobile APIs: Optimizing APIs for
Many Devices
12.15.11 @ 11:05 PST
VOIP or Dial-in (see chat)

groups.google.com/group/api-craft
Greg Brail       Sam Ramji    Brian Pagano
@gbrail          @sramji      @brianpagno
Your hosts
@gbrail   @sramji   @brianpagano
groups.google.com/group/api-craft




                                    4
youtube.com/apigee




                     5
Mobile APIs: Optimizing APIs for
Many Devices
Devices are slow




Parsing XML is (usually) insignificant on servers today.
Not so on a phone!




(Yes, I realize that devices are getting faster)
Networks are slow




Theoretically they are fast

Once you start walking /driving /cycling / skydiving around that
changes
Programmers are in a hurry




XML? What’s that?

Forget about SOAP and SAML
Public APIs are inconsistent




Twitter can respond in one second or five

   That adds to your user experience
   Lots of APIs are lots slower
Private APIs are slow



Internal systems were designed for a few servers.
Now we throw a few thousand mobile devices at them.

We have seen response times like:
   500 milliseconds
   5 seconds
   30 seconds…
Most APIs talk too much



My default Twitter timeline:
   45K in JSON, 64K in XML

Private APIs are usually worse
    Designed for internal systems and fast networks
    We have seen 5K, 36K, 100K and up
App Developers




None of this is good for you
The API Team




If you can’t make the API friendlier to app developers,

       …the developers will take matters into their own hands
Tools in your arsenal




Data transformation and masking
Compression
Caching
Distribution


      These work for both the app developers and the API team
Data transformation and masking
Convert XML to JSON
Offer a “mobile version” via parameters
       …returns fewer data fields
Implement a “partial response” architecture
       …select fewer elements via parameters
Be ruthless!
       …can always offer the “full data set” via another API
Compression
Built in to the HTTP protocol
Supported by most clients
Not enabled by many servers – why not?
My Twitter timeline:
       45K JSON  gzip  6K
       64K XML  gzip  6.5K
Caching
Cache complete API responses
   …in addition to your app server / database cache
A good Pragmatic REST URL structure makes this easier
Distribution
Put caches of API responses all over


       Use a CDN if you can
       Return links to it if you can’t
Takeaways

Mobile clients are different than servers

JavaScript apps are different than servers

So don’t forget that when you implement your API!
THANK YOU
Questions and ideas to:
@gbrail
@sramji
@brianpagano

groups.google.com/group/api-craft

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