Category: Tech Ramblings

Mariano Gonzalez on Wednesday, August 28, 2013

OAuth 2 just got a bit easier

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Ever since Devkit made its first entry into the Mule family, a big variety of OAuth enabled Cloud Connectors were made available. Salesforce, Facebook, Twitter, Dropbox, LinkedIn and Google Apps suite are just some examples of the APIs we’ve connected to using that support.

When we started thinking about the August 2013 release we decided to take it one step forward and make it easier than ever. And now that Mule 3.5-andes is available on CloudHub, you’ll be able to leverage all these improvements into your integrations. On Premise users will also be able to use when the final version of Mule 3.5.0 is released as GA.

When you come from a class based programming language, doing objects in feels weird: Where is the class keyword? How can I do inheritance?

As we are going to see, JavaScript is actually pretty simple. It supports class like definition of objects and single-inheritance out of the box.

But first, a small tip to change your reading experience. By using your browser JavaScript console, you can play with the examples without leaving this page:

  • Chrome: MacOSX Cmd-Alt-J / Windows Ctrl-Shift-J
  • Firefox: MacOSX Cmd-Alt-K / Windows Ctrl-Alt-K
  • Safari: Cmd-Alt-C (only if you enable the Develop menu on Advanced Settings)
Ross Mason on Monday, July 29, 2013

Raspberry Pi gets an API

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In the Internet of things no device is an island. And while Raspberry Pi are pretty cool on their own adding an API makes them a lot more interesting. We have been playing around with Raspberry for a while now and have a small distribution of Mule, called ‘Anypoint Edge’ that happily runs on small embeddable devices like the Raspberry Pi.  These ARM-based devices are taking the world by storm since they are lower powered, low cost and can be embedded into small hubs to control other things like lightbulbs, or be used inside anything from PoS kiosks to gas pumps to cars to medical devices.

I just read yet another amazing achievement in the world of 3D printing: directly printing sand-grain-sized rechargeable batteries. It’s not that manufacturing things at that scale is revolutionary any more, it’s that we can see the path to mass accessibility: anyone will soon be able to do this. Just like desktop publishing, and later the web, and later any of a slew of self-expression and DIY-distribution possibilities like Facebook and YouTube and Twitter, that accessibility and enablement will surely create Yet Another Revolution (TM). No doubt.

Uri on Wednesday, July 24, 2013

Mind Your APX

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There’s a saying that goes something like: to err is human, to really screw up big time takes a computer. But if you really want to have some fun, connect that computer to another computer, and you soon have a veritable nuclear chain reaction. The key to unlocking this energy? The lowly API, a programmer’s best friend, the little enabler that placed Google Maps in the center of mashup mania, drove the Ajax revolution, and is now generating over half of SalesForce.com’s revenues.

Ken Yagen on Monday, July 22, 2013

Climbing mountains faster

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In a recent post, James outlined how MuleSoft is using Lean Startup principles to build Enterprise Software. We have been doing this for a while in our cloud platformsCloudHub, Anypoint Service Registry and Dataloader.io; however, our core enterprise tools and products – Mule ESB, Mule Studio, Anypoint DataMapper, and Mule Management Console have always been on a much longer release cadence. Mule ESB Enterprise is the core platform on which many of our customers build hundreds if not thousands of services and integration processes on, so frequent releases and updates can be expensive for them to consume. Typically we release new Mule ESB enterprise versions every 9 months. As a hybrid product company with multiple products, we need to manage the demands of both the cloud and on-premise. Recently, we decided to make some changes to our development cycles and team orientation. We’re using names of famous  mountain ranges for these new releases, the first is named Andes after the iconic mountain range in South America (relatively) close to our development labs in Buenos Aires, Argentina. The next is Big Horn, Cascade and then Dolomite.

james.donelan on Thursday, July 18, 2013

Lean Startup…meet Enterprise

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There is a lot of talk about the lean startup and whether it works or not. Some proclaim it is critical to the success of any startup and that it is even the DNA of any modern startup. Others claim that it’s unproven, unscientific and gets your product to market in a haphazard way that is ungrounded in quality.

But the lean startup model, when you boil it down, simply says that when you launch any new business or product you do so based on validated learning, experimentation and frequent releases which allow you to measure and gain valuable customer feedback. In other words, build fast, release often, measure, learn and repeat.

users have always felt at home in Mule Studio, but users have often asked for to “play well with others” — specifically, that it support plugin-style into existing Eclipse environments they already use every day.

With Mule Studio 3.4, we have delivered this wish list item. Specifically, users of Eclipse 3.8 can now install Mule Studio as plugins into their existing environments.

The old-fashioned way to do this is via the Eclipse Update Manager, using the update site http://studio.mulesoft.org/3.4/plugin:

Screenshot of Eclipse Update Manager with Mule Eclipse Plugin Install Site

Using the Mule Eclipse Plugin Install Site

It’s pretty common to hear and read about how everything in the IT business is going “as a service…”. So you start hearing about Software as a Service (SaaS), Platform as a Serivce (PaaS) and even Integration Platform as a Service (iPaaS, which is where our very own platform plays on). But what about data?

As Nicolas pointed out in “7 things you didn’t know about DataMapper“, it’s not a trivial task to map a big file to some other data structure without eating up a lot of memory.

If the input is large enough, you might run out of memory: either while mapping or while processing the data in your flow-ref

Enabling the “” function in DataMapper makes this a lot easier (and efficient!).

just enable "streaming"