Real world use of JMS/message queues? [closed]

JMS (ActiveMQ is a JMS broker implementation) can be used as a mechanism to allow asynchronous request processing. You may wish to do this because the request take a long time to complete or because several parties may be interested in the actual request. Another reason for using it is to allow multiple clients (potentially written in different languages) to access information via JMS. ActiveMQ is a good example here because you can use the STOMP protocol to allow access from a C#/Java/Ruby client.

A real world example is that of a web application that is used to place an order for a particular customer. As part of placing that order (and storing it in a database) you may wish to carry a number of additional tasks:

• Store the order in some sort of third party back-end system (such as SAP)
• Send an email to the customer to inform them their order has been placed

To do this your application code would publish a message onto a JMS queue which includes an order id. One part of your application listening to the queue may respond to the event by taking the orderId, looking the order up in the database and then place that order with another third party system. Another part of your application may be responsible for taking the orderId and sending a confirmation email to the customer.

Use them all the time to process long-running operations asynchronously. A web user won't want to wait for more than 5 seconds for a request to process. If you have one that runs longer than that, one design is to submit the request to a queue and immediately send back a URL that the user can check to see when the job is finished.

Publish/subscribe is another good technique for decoupling senders from many receivers. It's a flexible architecture, because subscribers can come and go as needed.

I've had so many amazing uses for JMS:

• Web chat communication for customer service.

• Debug logging on the backend. All app servers broadcasted debug messages at various levels. A JMS client could then be launched to watch for debug messages. Sure I could've used something like syslog, but this gave me all sorts of ways to filter the output based on contextual information (e.q. by app server name, api call, log level, userid, message type, etc...). I also colorized the output.

• Debug logging to file. Same as above, only specific pieces were pulled out using filters, and logged to file for general logging.

• Alerting. Again, a similar setup to the above logging, watching for specific errors, and alerting people via various means (email, text message, IM, Growl pop-up...)

• Dynamically configuring and controlling software clusters. Each app server would broadcast a "configure me" message, then a configuration daemon that would respond with a message containing all kinds of config info. Later, if all the app servers needed their configurations changed at once, it could be done from the config daemon.

• And the usual - queued transactions for delayed activity such as billing, order processing, provisioning, email generation...

It's great anywhere you want to guarantee delivery of messages asynchronously.