10.000 times thanks to everybody who visited this website.
Thanks to everyone who came here …
…. by typing the wrong url address
…. has found what they were looking for
…. posted a comment or shared these information
…. smiled or laughed after having read some articles
…. tried to understand what I wanted to say with my English
That has been a goal which I’ve never thought to reach before starting writing this blog.
Stay connected , I’ll go on with others articles.
Mule can work in multiple instances as single unit in the same flow. This allow a large scalable system and avoid the single point of failure of the system.
In one word we are speaking about the cluster. In this article I’d like to show you how configure a active-passive cluster with quartz connector.
Continue reading “Mule – Quartz active/passive configuration”
In the previous post I spoke about how create a business model process using jBPM engine in Eclipse.
In this post I’ll show you how integrate the business process with Mule flow.
Continue reading “Mule 3.3 – jBPM Model Part 2”
In this post I’d like to describe the integration between Mule (Release 3.3) and Business Process Model (BPM). I’m using a Jboss implementation named jBPM.
BPM is a very huge argument, we’ll try to speak about it and look at used in Mule ESB. This wouldn’t be a post about entire BPM. I’ll not so able to speak about it.
Continue reading “Mule 3.3 – jBPM Model Part 1”
A common pattern that I have to face is, once processed the contents, share it between different application.
This pattern is typical something like:
- Read contents from database;
- Serialize contents;
- Expose contents through http.
Continue reading “Mule 2.2.1 – Http + Serialization”
In my previous post I’ve shown how create Derby instance and use it in Mule configuration file.
Now it’s time to write mule inbound/outbound message and access to it from http browser.
Continue reading “Logging mule flow with DerbyDb – Part 2”
In one of my project I had needed to keep tracking the mule flow with deeper details than log4j logger.
I wasn’t happy to read a lot of rows at file log in multi-thread enviroment like Mule. So, I decided to use DerbyDb in embedded mode to log the flow of the message in more friendly way and access it by http connector.
I’m going to split this task in two posts. At this first part I’m describing how create Db Derby, integrate it in mule enviroment and, finally, write log message as record.
Continue reading “Logging mule flow with DerbyDb – Part 1”