IBM MQ

In the context of Internet of Things (IoT) applications, IBM MQ plays a pivotal role in managing the substantial data streams emanating from interconnected devices. Its primary function is to guarantee the dependable transmission and processing of data, catering to a diverse range of IoT use cases, including but not limited to smart city initiatives, healthcare monitoring systems, and industrial automation solutions. In the telecommunications sector, IBM MQ is employed for message routing, call detail record (CDR) processing, and network management to ensure real-time data exchange and fault tolerance. When managing the supply chain and logistics, IBM MQ is used to ensure timely and accurate communication between different entities, including suppliers, warehouses, and transportation providers. IBM MQ can be cost-prohibitive for smaller organizations due to licensing and maintenance costs. In such cases, open-source or lightweight messaging solutions may be more appropriate. For scenarios requiring extremely low-latency, real-time data exchange, and high throughput, other messaging technologies, like Apache Kafka, may be more suitable due to their specialized design for such use cases.

Message delivery guaranteed, IBM MQ supports the communication of exchange of information between the system and service via the queue. Also, they don't need to modify the existing application. Security risk while delivering the message, Performance problems sometimes it increased response rate, sometimes expected heavy use of resources.

I rate it 10 because the messaging formatting is good. it has reduced our issues on swift, as duplicates have been reduced as result of proper message formatting

If you have high volumes of messages to handle with performance contraint this tool is partculiary recommended. Furthermore it's easy to setup and to use. Good monitoring tooling and reply capability in case of error

In my line of work we just use it to automate data entry into multiple applications and it works very well for this task.

Suited:

• As we have critical data such as payments which needs to be managed across a number of platforms.
• MQ ensures guaranteed delivery of this data.
• Setting up a new application to use MQ is a relatively simple process.
• To track data both internally and externally you can set MQ up to send back acknowledgement . Very useful if one party say they have not received some data.

Not suited.

• If an application has a requirement to get information from a database without any concerns of losing data . Using JDBC connecting directly to the database can reduces the number of jumps the application needs to make to get to the database.

• If an application wants to store information and then send as a large batch file it is not recommended to use MQ. MQ applications should be used for data which needs to be sent immediately. MFT (MQ file transfer) however can utilise MQ for file transfers

Some scenarios where IBM MQ is well suited are - Financial Transaction Processing, and Order processing, Airline reservations, stock trading etc.because of its high availability and reliable message delivery
Some scenarios where its not suited - Small scale applications because of the cost and integration effort perspective. Event streaming and processing is something where Apache Kafka is preferred.

IBM MQ is a messaging platform that decouples applications, provides guaranteed delivery, and offers high performance, scalability, security, and flexibility. It can be used to improve IT business processes in a variety of projects. We used it on several scenarios, such as application integration, microservices architecture, and event-driven architecture, this last one was the most useful, because we don't have to have processes checking for changes, we suscribe to the event and everything works smoothly

IBM MQ is an extremely capable high throughput, resilient/reliable, secure messaging provider. IBM MQ works extremely well as an asynchronous bridge between synchronous application endpoints. I cannot think of a scenario where asynchronous messaging is a requirement and IBM MQ is not an appropriate solution, it's a thoroughbred!

it suits well when we wanted to implement message queue system and configuration can be done pretty fast .

Communication delivery is its bread and butter and it does it very well. For less appropriate, although you can do sql request/response via the MQ software it is going to add unnecessary layers to a sql communication.

1/ pub/sub scenario: Gave a solution to application team to use the pub/sub model . application was a sterling connector and had many subscribers.

2/ JMS delay : With the MQ version 9.2 the concept of JMS 2.0 and it's usage of delay delivery mechanisim was carried out . Client wanted this feature from their standalone which connects to our queue manager . by chaning the defbind to OPEN ( on cluster queues ) the functionality worked very well .

If you know more about the capabilities of IBM MQ you will choose it. Most colleagues do not know MQ well enough use it at all.

IBM MQ is perfect for transferring critical swift data with our connected banks, it delivers consistently and reliably. In my opinion, it is not suited for small scale or less frequent data delivery

Its superb in sending messages from application. A to B, where the single (persistent) message will only be send once, and with all kinds of scenarios/ (machines poweroff / datacentre down) etc etc, this single one message will arrive on destination.

In my experience with IBM MQ excellent security tools for your system, once integrated with the system fully secure your data and application exchange your information to others with flexibility. Data exchange included encryption and decryption features as well.
Highly recommended product to others.

It has worked for our organisation from the first moment, we had a somewhat broken or distant internal communication as we did not have a tool for these things, when IBM MQ arrived everything started to flow correctly, we are always in contact and we could send all the necessary information at any time of the day. I also like the fact that it can be compatible with other platforms and brockers.

In today's event and the data-driven world, it is a common question when to use messaging system like IBM MQ and when something like Kafka.
IBM MQ is very well suited for point-to-point communications.
Having ACID properties IBM is well-suited for transaction processing.
In other cases such as Big Data, Analytics, and Event streaming IBM MQ is not the ideal choice. For those use cases, you are better with something like Kafka.

IBM MQ is a highly reliable and efficient software with guaranteed data delivery. It is an amazing way for centralizing your internal messaging and communications. IBM WebSphere was an invaluable part of our business operations. It allows you to sort through millions of messages and transactions in of the least amount of time possible.

Before using IBM MQ on Cloud we facing different types of issues like we were Facing some related deployment and configurations issues. Now, we can easily and simply connect an application to a queue manager. We can run our application in a number of ways, deployed in the cloud for instance for validation purposes And convenient for configurations

It is well suited for high speed communication, secure messaging and prevention of data attack. It is also good for organization of tasks and receiving of transactions.

I am in love with this version of IBM MQ, which is powerful, solid, and has the amount in the CORE of processor necessary to break into any project at the necessary height. I recommend testing it rather than acquiring it because I know that not all companies treat their problem solutions with the same need.

I can recommend it highly, I am satisfied with the fact that it has endured a lot of work, it was something essential that I believed not would play in my favor but in this case, I leave myself with my mouth open.

I think that it is not a program for start-ups, the price may not compensate immediately, especially for industries that have just explored the market and environment. It is rather for advanced work teams that know how to work together, know each other, and want to update their old servers, with greater speed, space, and agility to their robust applications.

For what I explained above about the technical language, I think it deserves a 7 but if that were fine-tuned it would be a 10. IBM MQ works very well with high-volume programs, multiple programs, programs from different systems, etc. It is a very good investment to generate productive scaling and it is recommended to use it with technical support from it.