Errors occurs all the time. All you can do is to implement error handling. In this article I will describe how to use introduced layer of abstraction in exceptions area. Prior to Mule 4, developer only could access raw Java exception as Mule is a Java based ESB. This lead to situation where you, as a developer, needed analyse documentation to find exact exception that you would like to handle. Now an Error concept was introduced.
It is a good practice to monitor your service and check whether it is available and/or is performing as expected. In order to do this we need to specify what service’s health term means. In this article I will present two
In one of my previous posts I described Java Component and entry point resolvers as a way to invoke Java Code in Mule 3.x. In this article I will focus on completely new approach in Mule 4. Mule presents brand new Java Module capable of creating new instances, invoking methods on those instances and invoking static methods. Although you can invoke Java using DataWeave 2.0 and Groovy scripting you are losing additional metadata (DataSense). So lets walk through some sample application.
For high-workload application it is important to manage resources efficiently. One of the tricks that can save resource usage is caching. In RESTful services this technic is used in GET methods. However it may by used in other cases when operation of getting particular resource can be reused. In this blog post I will extend previously design rest service by adding caching to two operations. Mule uses Cache Scope component. Apart from describing it I will show you possible obstacles and how to handle them.