In part 1 of this series, we discussed the different deployment models that we have used in the past to deploy containerised Mule applications on OpenShift Container Platform. Here we expand on the topic by discussing best practices around build and deployment such applications.

Container Base Image

In a...

At Deloitte Platform Engineering, we have been building containerised platforms for a few years now. Red Hat OpenShift Container Platform has been our weapon of choice in many of these instances, complementing a solid Kubernetes foundation.

A significant part of this work also consists of building and deploying...

DataWeave is the primary transformation language in Mule. What is interesting about DataWeave is that it brings together features of XSLT (mapping), SQL (joinBy, splitBy, orderBy, groupBy, distinctBy operators), Streaming, Functional Programming (use of functions in DataWeave code) to make it a power-packed data...

In a previous blog post, Rashmi showed us how to synchronise logs from CloudHub to an external logging system. This follows an increasing demand to utilise MuleSoft Anypoint CloudHub logs, events, and dashboard statistics as part of a broader monitoring strategy which aims to:

• Aggregate information in a central...

Overview

It is a common use case to export the application logs out of CloudHub to a target system for example Loggly or SPLUNK Enterprise because these products have rich capabilities and support of representing the operational information to different audiences.

This article presents some of the available options...

The ability to control how Mule creates and manages spring application context is a very useful feature. On a recent client engagement, I had to perform an identical integration operation but from a variable number of sources (different for each environment).

In Mule, this can be accomplished by:

1. Adding duplicate...

The Mule 3.6 release brought a comprehensive and very welcome refresh of XML capabilities, including cutting-edge XSLT support via the Saxon 9.6 HE library. Unfortunately one feature lost in this overhaul was Saxon’s easy mechanism for using Java methods as XSLT extension functions. Here’s how we made it easier to use...

The groovy script transformer component is a very powerful piece of Mule. I use it for almost every message transformation that I need to make. Its XML and JSON libraries reduce message format conversion down to little more than building a map, while closures give you some powerful processing tools for handling...

With all the drag-and-drop goodness of AnyPoint Studio these days, it’s easy to forget that under the hood Mule ESB remains a very powerful, configurable and extendible framework. This power comes in handy when you’re faced with demanding file processing requirements in advance of Mule’s out-of-the-box functionality.

If you followed my previous rambling, you might feel like we are due for some hands-on Dockering. So let’s get technical!

There are plenty of Docker “tutorials” out there. They show you step-by-step what to do, but I believe that, more often than not, they fail to tell you why. And by the time you finish these...