IBM MQ prevents duplication or loss of messages

IBM MQ is one of the most popular messaging middleware solutions. The one-time message queue is a way to avoid duplicate messages.

A digital platform can receive billions of messages every day, with real-time updates considered the standard by customers and enterprises.

Ensuring that messages are not duplicated or lost in the process is an arduous task, and one that is central to IBM MQ, an enterprise-level messaging solution that has been in the market for more than 25 years.

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With IBM MQ, messages are delivered once, which is essential to avoid duplication or loss. If the server is not ready to receive a message, MQ will wait until this is the case, via the Message Queue Interface. Other message-focused middleware products may send regardless of server activity resulting in loss, while others may send a follow-up message if the original is not received, sometimes causing duplicate results.

Another value of the queuing system is for programs that run independently and may not always be online, such as Internet of Things (IoT) devices and smart sensors. This reduces the amount of time it takes for sensors to be online, potentially improving hardware life.

IBM MQ can be deployed for multiple operating modes, such as:

  • Point-to-point – Sender sends to queue and receiver receives queued.
  • Publish/Subscribe – Application publishes a message which is then sent to all subscribers of the application.
  • File Transfer – Managed File Transfer manages the transfer of files to messages.
  • Telemetry – IBM has its own MQ Telemetry solution that extends the MQ environment to IoT and other devices that reside at the edge of a network.

Every message sent is secured using Transport Layer Security (TLS). IBM also integrates Advanced Message Security (AMS) into its MQ Advanced for those who need it, which encrypts a message and only allows certain applications to access it.

IBM MQ supports a wide range of applications, systems and services and enables organizations to transfer data from on-premise to the cloud, delivering real-time data back to headquarters across all types of data points, such as application usage, warehouse inventory and transaction volume .

With IBM MQ, organizations also have access to a highly scalable solution that already runs petabytes of data for some of its customers on MQ. In recent updates, IBM has also enabled containerized implementation of MQ, allowing businesses to choose the services they want to use.

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