IBM MQ is that life saver. Establishing a message queue is an easy job, but it might not be resilient if the network crashes. Losing important messages can be catastrophic and inconvenient at the very least. A queue in any context is a collection of objects lined up in consecutive order.
Think about waiting in line to buy groceries or buy movie tickets. In computing terms, queues are great data structure choices when there are items that need to process one-at-a-time That would be all well and good if all applications produced and used data at the same speed.
However, in the real world, one app may process messages at a leisurely pace while others may generate huge volumes of messages all at the same time. Without a message queue solution, the faster processing messages will cannibalize the slower ones. The beauty of a message queue is that it will store those slower moving messages temporarily until the system processes them at a later time.
Text messages and emails are great examples of data stored in message queues. Message-oriented middleware makes it easier for software and hardware elements to exchange messages. Picking the appropriate message queue product can affect performance. Users may weigh challenges like fault tolerance, persistence, high performance and compatibility with existing hardware and software when making a message queue solution purchase.
IBM MQ sends data between points in its message queue system and makes sure that messages arrive. Every time. This is especially helpful in financial institutions where duplicate messages could seriously impact accounts.
Just imagine if a big deposit or payment processed more than once. IBM MQ treats messages with the criticality they deserve. Files deliver to an application as a single message or a group of messages by splitting the file.
Users can also use messages and message groups to create and deposit files. This is a huge time saver and makes timely use of the file data. IBM MQ can operate in the cloud which accommodates almost any business need or customer preference. Users will want to schedule message delivery to meet business needs and IBM MQ supports various delivery features. Critical and urgent messages receive priority while others with less urgency can get in queue to send later.
The popcorn may have to wait, but the customer will get his ticked based on his urgent need to see the film from the beginning. Long term support, , provides fixes but no new functionality.
When it comes to scalability and performance, IBM MQ has the flexibility to connect apps, systems and services over different platforms, environments and languages.
This means that users can work where they want to—on premises, the mainframe or the cloud. These choices give users the ability to respond to business changes wherever they are so they can capitalize on opportunities and lessen any negative situations.
Systems have to be robust at the same time that they require security and protection. IBM MQ protects enterprise data through authentication and identification to give users extra peace of mind.
IBM MQ is flexible in how it handles security too. Also, encryption at rest is policy-defined, protecting message content. This gives users even more assurance than other options that work only by encrypting the disk itself. Read what others around the world are saying about how IBM MQ has positively impacted their business.
They recommend using this product when you want to send data from one system to another, since MQ will take care of the data conversion. Greg S. I have a basic understanding of what it is a commonly checked area to put and get messages , but what I want to know what exactly is it good at?
How will I know where I want to use it and when? Why not just stick with more rudimentary forms of interprocess messaging? All the explanations so far are accurate and to the point - but might be missing something: one of the main benefits of message queueing: resilience.
Imagine this: you need to communicate with two or three other systems. A common approach these days will be web services which is fine if you need an answers right away. However: web services can be down and not available - what do you do then? So in many cases, using message queues to connect disparate systems is a more reliable, more robust way of sending messages back and forth.
It doesn't work well for everything if you want to know the current stock price for MSFT, putting that request into a queue might not be the best of ideas - but in lots of cases, like putting an order into your supplier's message queue, it works really well and can help ease some of the reliability issues with other technologies. It's an abstraction layer that allows multiple processes likely on different machines to communicate via various models e.
Depending on the implementation, it can be configured for things like guaranteed reliability, error reporting, security, discovery, performance, etc. For example: Suppose you want to processes to communicate, but one of them can die in the middle and later get reconnected. How would you ensure that interim messages were not lost? MQ solutions can do that for you.
Message queueuing systems are supposed to give you several bonuses. Among most important ones are monitoring and transactional behavior.
Transactional design is important if you want to be immune to failures, such as power failure. Imagine that you want to notify a bank system of ATM money withdrawal, and it has to be done exactly once per request, no matter what servers failed temporarily in the middle. MQ systems would allow you to coordinate transactions across multiple database, MQ and other systems.
Needless to say, such systems are very slow compared to named pipes, TCP or other non-transactional tools. If high performance is required, you would not allow your messages to be written thru disk. Instead, it will complicate your design - to achieve exotic reliable AND fast communication, which pushes the designer into really non-trivial tricks. The Message Queue receives the message, places it in the proper queue, and waits for the application to retrieve the message when ready.
As an extension to that; what if your local network and your local pc is down as well?? While you wait for the system to recover the dependent deployed systems elsewhere waiting for that data needs to see an alternative data stream. Otherwise, that might not be good enough 'real time' response for today's and very soon in the future Internet of Things IOT requirements.
FRAM runs at clock speed and FPGA devices can be reprogrammed on the fly adding and taking away however many independent parallel data streams are needed within established constraints of course. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. What is an MQ and why do I want to use it? Ask Question. Asked 11 years, 5 months ago. Active 6 years, 7 months ago.
0コメント