Are you a Windows app developer or an online entrepreneur exploring options of creating apps for Windows platform? This article is for you to explore an important aspect of app development.
Message queuing is a development tool and message infrastructure for creating distributed message apps for MS Windows. A message queuing service sends messages to queues – which act as temporary storage locations – from which the messages can move to their final destinations if the conditions allow.
Message queuing has several benefits, including:
- Efficient routing
- Improved security
- Priority-based messaging
- Support for messages within transactions
- Guaranteed message delivery
Here are some reasons why queues are an important component of any application or architecture:
When processing data, sometimes a process fails. Unless it is persisted data, it will be lost forever. A queue lessens this by persisting data until the data has been processed fully. The put-get-delete paradigm that many queues use needs a process to indicate that processing is finished so that the message can be removed from the queue.
This ascertains that your message is kept safe until you are done with it.
Since message queues decouple processes, it is very easy to scale up the rate at which messages are processed or put in the queue – you just need to add another process. You do not need to change any code or tweak configurations. Scalability simply adds more power.
It is quite difficult to predict the future needs of a project at the beginning. When you introduce a layer between processes, a message queue creates an inherent databased interface that the processes will implement. This will allow you to modify and extend the processes independently by making sure that they adhere to similar interface requirements.
When some of your architecture fails, your whole system does not need to go down. Because a message queue decouples processes, if a process that is dealing with messages from the queue fails, they can still be added to it for processing when the system recovers. The ability to accept requests that will be processed later is the difference between a frustrated and inconvenienced customer.
In most situations, the order that data is processed in is important. Messaging queues are implicitly ordered and able to provide guarantees that data can be processed in a particular order. Some of these services provide FIFO (first in first out), ensuring that the order in which messages are placed in a queue is the same order that they will be retrieved.
The redundancy that message queues provide ensures that a message is processed eventually, if a process is reading the queue. Regardless of the number of processes that are pulling data from the queue, each message can only be processed once. This is possible because the act of retrieving a message reserves it and removes it from the queue temporarily.
Unless a client states that it is done with that message, it will be placed back on the queue for processing after a configurable time.
Understanding data flow
In a distributed system, having an overall sense of how long an action takes to complete and why is a big problem. The rate at which message queues are processed can help you to identify the areas that data flow is not optimal as well as the under-performing processes.
Many times, you will not want or need to process messages right away. Message queues allow for asynchronous processing, meaning that you can add a message to a queue without having to process it immediately. This makes it possible to queue as many messages as you want then process them at your leisure.
These reasons should be more than enough to convince you to start using a message queuing service.