I’ve been playing around with MuleStudio from MuleSoft lately, and am very impressed with how easy it is to create integrations with the Eclipse-based IDE. The product comes with a long list of commonly needed endpoint connectors for talking to files, databases, HTTP, IBM WebSphere MQ, or even end systems like SAP.
With the Solace JMS endpoint configured, the rest was “one handed programming.” Dragging and dropping icons and connecting endpoints from the pallete was quick and easy, and before I knew it I was running a REST API for publishing messages to Solace topics and queues.
After that, I wanted to explore further and make a more “cloudy” demo so I picked up on the available Cloud Connectors which include integration components for Amazon, Salesforce.com, Facebook, and Google.
A quick drag and drop and I had a streaming Twitter application that consumes all @SolaceDemo tweets, transforms them into both XML and JSON formatted messages and publishes them to a topic name hierarchy that allows the subscriber to pick which format of messages they want to receive based on topic wildcard subscriptions.
Adding topic subscriptions to attract these messages to queues for persistence is easy using the SolAdmin GUI so I created a queue for xml tweets (xmlQ) and another for the JSON versions (jsonQ) and configured the appropriate topic subscriptions for each.
All that’s left to do is to wire up an analytics engine to pore over the tweet-stream and figure out by sentiment analysis what people are thinking and saying about Solace messaging. A quick search on MuleSoft’s APIhub shows there are at least 42 ways to do that too!