Parallel Multicasting in Mule Made Easy
A common integration scenario is where a single message needs to be sent through multiple routes. Take for example a case in which you're
Batch Module Reloaded
With Mule's December 2013 release we introduced the new batch module. We received great feedback about it and we even have some CloudHub users
Batch processing performance in the cloud
Today I will introduce our performance test of the Batch Module introduced on the Mule's December 2013 release. I will guide you through the test
Data Synchronizing made easy with Watermarks
We've all been there. Sooner or later, someone asks you to periodically synchronize information from one system into another. No shame to admit it, it
When ETL met the ESB: Introducing the Batch Module
We are all very proud to announce that Mule's December 2013 release shipped with a major leap forward feature that will massively change and
NoSQL and Big Data connectors for Mule
In the past few months, you may have noticed that we have regularly announced the release of new Mule connectors for NoSQL data-stores. Two
Aggregation with Mule – “Fork and join pattern”
In your daily work as an integration developer you're working with different kinds of patterns, even if you're not aware of it. Since Mule
Mule at the Edge of the network
Mule is already running on premise and in the cloud and is soon bound to run virtually everywhere thanks to a new project called
How to build a Processing Grid (An Example)
In his "To ESB or not to ESB" series of post, Ross Mason has identified four common architectures for which Mule is a great
Getting started with JPA and Mule
Working with JPA managed entities in Mule applications can be difficult. Since the JPA session is not propagated between message processors, transformers are typically