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Wednesday 26 September 2018

How To Quickly and Easily Deploy IBM MQ On AWS

Here is a quick tutorial that will help you easily deploy IBM MQ on AWS as a managed service on AWS. Waleed (Woz) Arshad shows you how quick and easy it is to get started.

IBM MQ provides proven, enterprise-grade messaging capabilities, such as point-to-point and publish/subscribe models, to facilitate the flow of information between applications. This service enables you to use IBM MQ as a managed offering. The IBM Cloud handles upgrades, patches, and many of the operational management tasks on your behalf, so you can focus on integrating MQ with your applications. - IBM

"Our lives, both online and offline revolve around data which drives the world's businesses and must be protected at all times," notes an IBM representative. "Data moves via mainframe, Linux or Windows servers, and other platforms on-premises and in the cloud. IBM MQ powers thousands of businesses worldwide and visibly moving terabytes worth of data."

You can obtain a free trial of MQ as a managed service on Cloud on the MQ IBM website.

Tutorial by Woz Arshad, Advisory Offering Manager at IBM in the UK:

We're going to run through how quickly and easily you can deploy a queue manager that's managed by IBM onto AWS. You'll be able to enjoy all of the benefits of a managed service with this queue manager on AWS. These benefits include infrastructure and version maintenance by the IBM cloud team, simple scaling of your service, and being able to connect to on-premise systems and cloud applications with ease.

You begin the process of deploying your queue manager in AWS by logging into the IBM cloud console. There, you create your instance of MQ in US South. After clicking create and defining the queue manager name in its display name you can select which location you want to deploy your queue manager. From the drop-down list select AWS US East and then click create.

Then, by the time you boil the kettle and made yourself a cup of tea you'll have a queue manager deployed and running on AWS with the benefits of a managed service.