Just when you thought it couldn’t get any better, it got better. Dataloader.io, the most popular Salesforce data loading solution on the AppExchange now supports importing and exporting of files to and from Dropbox!

dataloader.io and dropbox

Data loading aficionados can now quickly and easily import or export data directly to and from their Dropbox account. By simply entering your Dropbox credentials, users can make Dropbox their source for CSV files. Similarly, exporting to Dropbox is as easy as choosing Dropbox as your connection and destination folder from a tab. Then, by following the standard steps to import and export data with dataloader.io, you’ll be up and running in no time – it’s that simple!

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 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)

In his “To ESB or not to ESB” series of post, Ross Mason has identified four common architectures for which Mule is a great fit: ESB, Hub’n'Spoke, API/Service Layer and . In this post we are going to detail an example for the latter architecture. We will use Mule to build a scalable image resizing service.

Here is the overall architecture of what we intend to build:

As you can see, we allow end users to upload images to a set of load balanced Mule instances. Behind the scene, we rely on Amazon S3 for storing images waiting to be resized and Amazon SQS as the queuing mechanism for the pending resizing jobs. We integrate with any SMTP server for sending the resized image back to the end user’s email box. As the number of users will grow, we will grow the processing grid simply by adding more and more Mule instances: indeed, each instance is configured exactly the same way so the solution can easily be scaled horizontally.

Read on to discover how easy Mule makes the construction of such a processing grid…

Ross Mason on Monday, July 29, 2013

Raspberry Pi gets an API


In the Internet of things no device is an island. And while Raspberry Pi devices 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 ‘ 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


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.

You may have read about our mountain trek, new release cycle, and the increased pace of delivering. We’ve  climbed our first mountain and we’re happy to announce the availability of our first release in our trek: Andes! This delivers major usability improvements around our platform, new connectivity to applications such as Marketo and ZenDesk, and expanded API management capabilities. We’ll summarize what’s new for you here and we’ll be doing deeper dives over the coming days for you to learn more.

Ken Yagen on Monday, July 22, 2013

Climbing mountains faster


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


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.

john.demic on Tuesday, July 16, 2013

Getting started with JPA and Mule


Working with managed entities in Mule applications can be difficult.  Since the session is not propagated between message processors, transformers are typically needed to produce an entity from a message’s payload, pass it to a component for processing, then serialize it back to an un-proxied representation for further processing.

Transactions have been complicated too.  Its difficult to coordinate a transaction between multiple components that are operating with JPA entity payloads.  Finally the lack of support for JPA queries makes it difficult to  load objects without working with raw SQL and the JDBC transport.