QueueExplorer Professional
Professional edition is useful if you have many servers, or many queues per server, or if you want to extract business data from messages and do something useful with that. For instance you may want to see order price for all messages in a queue, filter out those bigger than $1000, etc.
Optimized for multiple servers
Extract data from messages using XPath, JSON, or Regex
Tabbed interface for working with multiple resources at once
Optimized for multiple servers
QueueExplorer Professional can work with multiple MSMQ/RabbitMQ/ActiveMQ servers or Azure Service Bus namespaces at once. Servers can be organized in hierarchical groups for easier management. Servers and groups are automatically saved when program exits and restored on next run, or you can manually Save/Load projects and pass them to other QueueExplorer workstations.
Extract data from messages using XPath, JSON, or Regex
You can extract specific business data from a message and display it as a new column. These columns can then be sorted or filtered. For example you can display most expensive order in a queue first, even if there are hundred messages before that one.
Custom columns are remembered as a part of queue view. That way you can have different business data displayed as you move from queue to a queue.
Custom queue folders
Create your own folders to organize queues. You can select or drag/drop individual queues or specify wildcard matches. Wildcards are great when you want to include all queues of some type (e.g. error, deadletter, etc.) since this kind of folder automatically includes newly created queues as they show up in the future.
Queue Views
Queue views allow user to configure how messages are filtered, which columns are displayed, etc. on queue by queue basis. So when you switch to a queue these settings will be automatically applied.
Tabbed interface for working with multiple resources at once
QueueExplorer Professional can open multiple machines and queues in tab interface, making it easy to work with multiple resources at the same time.
