The architecture of Mule is driven by the principles of Industrial Best Practice as outlined in the well-known Enterprise Integration Patterns which have identified the most common building blocks for every integration problem. These building blocks are what make up Mule Flows, the executable units inside Mule Applications. No matter what the problem, wiring them together into an integration solution is extremely easy and by exploiting the power of Mule’s native support for the Drools Rules Engine, the Integration Developer has a very powerful set of tools to tackle even the most complex of integration problems with the greatest of ease. With this post I hope to be able to demonstrate this to you!
Complex event processing engines are a natural fit for event driven platforms like Mule. Native CEP support has been available in Mule since version 3.2 by way of the Drools Module. The Esper Module now offers an alternate way to leverage CEP in your integration applications. Esper is a robust, performant, open source, complex event processing engine. Let’s take a look at how to use Esper with Mule and then see how it compares to Drools’ CEP support.
Complex Event Processing (CEP) with Esper and Drools”>(more…)
Mule 3 has many routing processors and expression evaluators that can be used to implement routing logic. However, sometimes business rules may be too complex. For example, one of our customers is a large logistics company which uses Mule for their warehouse routing. To handle their complex set of rules, they decided to use Mule with jBPM and Drools.
This example illustrates use of Drools and jBPM inside Mule, by implementing very simple order sorting and warehouse routing use case. In this scenario all orders with weight greater than 50lbs should be routed to the warehouse A, and orders with weight equal to 50lbs or less should be routed to the warehouse B.
Mule 3.2 is right around the corner and it is shaping up as the best Mule release ever.
Some highlights include:
- High availability clustering for mission critical environments
- A business event analyzer to gain deep visibility into business events for root cause analysis and compliance
- Drools integration for business rules and complex event processing
In part 1 of this post, I gave an overview of BPM, Rules, and CEP and the way they compliment an integration platform such as Mule. Now let’s take a look at what Mule has to offer for integrating with some of these tools.
One of the more common usages of Mule is as the integration piece of a larger SOA architecture. Mule has traditionally never attempted to offer a complete SOA suite/stack of products as some of its larger competitors do, but has rather focused on the thing it does best, which is integration. Other aspects of an SOA architecture (messaging backbone, data storage, governance, etc.) are generally provided by other best-of-breed solutions for those areas, and Mule allows you to integrate with as many different options as possible.