IBM MQ is robust messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. IBM MQ facilitates the assured, secure and reliable exchange of information between applications, systems, services, and files by sending and receiving message data via messaging queues, thereby simplifying the creation and maintenance of business applications. It delivers Universal Messaging with a broad set of offerings to meet enterprise-wide messaging needs, as well as connectivity for the internet of things and mobile devices.
IBM MQ Advanced for Developers is available at no charge for development purposes for Windows and Linux platforms. There is also a no-charge, 90-day trial for all platforms.
Rapid, seamless connectivity of information with a single, robust, and trusted messaging backbone for dynamic heterogeneous environments.
Secure, reliable message delivery that preserves message integrity and minimizes the risk of information loss.
High-performance and scalable message transfer to meet the demands of today’s enterprise and beyond.
Simplified management and control for better control and usability.
Lower cost of ownership by reducing the cost of integration and accelerating time to deployment.
|Want To Get IBM WMQ Training From Experts? Enroll Now: IBM WMQ Online Training|
|Related Article: Websphere MQ Interview Questions|
When integrating with the WebSphere MQ system, a DataPower service performs messaging system bridging from a variety of protocols to the MQ protocol or from the MQ protocol to a variety of protocols. The service also supports message traffic from the MQ protocol to the MQ protocol and provides transformation, security, authorization, routing, logging, and customization services.
This section describes two example architectures of a typical installation:
In both of these architectures, the DataPower service acts as a WebSphere MQ client only. The service does not act as a WebSphere MQ queue manager.
Figure 1 illustrates the basic architecture implemented when a DataPower service is used to connect an HTTP-based messaging system (typical of a Web Services architecture) to a WebSphere MQ-based system inside the enterprise. The figure illustrates the primary configuration objects created on the appliance as well as the configuration of the MQ Queue Manager to which the service connects and exchanges messages.
Figure 1. The basic architecture for HTTP to MQ messaging
The Front Side Handler object implements HTTP transport connectivity on the client, or front, side of the service. On the back end, the Multi-Protocol Gateway employs MQ-based URLs to determine the WebSphere MQ queue to which requests are forwarded, and also from which replies are pulled.
Conversely, Figure 2 illustrates a DataPower service being used to extend a WebSphere MQ-based messaging system out to a Web Services architecture.
Figure 2. The basic architecture for MQ to HTTP messaging
|Explore IBM WebSphere Message Queue Sample Resumes! Download & Edit!|
Here, the Front Side Handler object polls a WebSphere MQ queue for request messages and places replies from the back-end services on another WebSphere MQ queue. The Front Side Queue Manager object might optionally place messages in an error queue on the WebSphere MQ queue manager. On the back end, a standard HTTP URL is used to determine the destination to which requests are forwarded, and from which answers are received in accordance with the HTTP specification.
Stay updated with our newsletter, packed with Tutorials, Interview Questions, How-to's, Tips & Tricks, Latest Trends & Updates, and more ➤ Straight to your inbox!
|IBM WebSphere Message Queue Training||Jun 03 to Jun 18|
|IBM WebSphere Message Queue Training||Jun 06 to Jun 21|
|IBM WebSphere Message Queue Training||Jun 10 to Jun 25|
|IBM WebSphere Message Queue Training||Jun 13 to Jun 28|
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
Copyright © 2013 - 2023 MindMajix Technologies