Running Apache Kafka on Windows OS
Kafka requires Java 8 for running. And hence, this is the first step that we should do to install Kafka.
JMS Messaging Pattern in MuleSoft
JMS messaging pattern is widely used for asynchronous communication. JMS is introduced between the Source and Target systems and the communication happen through messaging only.
JMS Connector with Apache Activemq
Anypoint Connector for JMS (Java Message Service) (JMS Connector) enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.
Mule Events in Mulesoft
A Mule event contains the core information processed by the runtime. It travels through components inside your Mule app following the configured application logic.
Designing an API (Mulesoft API Lifecycle)
The first step in the API lifecycle is design — when the API is created. Designing an API starts with an outside-in perspective, beginning with the “interface/contract” of the API.
Mulesoft API Lifecycle Management
Full API lifecycle management is the process of overseeing an API from its creation to retirement across its full life span.
Parse Template Reference in Mule4
Use a parse template to load the content of a flow-external file into a Mule flow, then use the file as a template into which you can insert data returned as the result of evaluated Mule expressions.
splitBy Examples in DataWeave 2.0
Helper function that enables splitBy to work with a null value.
splitBy function in DataWeave 2.0 (mulesoft)
Splits a string into a string array based on a value of input or matches part of that input string. It filters out the matching part from the returned array.
flatten function in DataWeave 2.0 (mulesoft)
With the help of flatten function multiple arrays are bounded together as single array.