A common question that comes up is “what did my IBM MQ application program do?“
For example, we expected messages to be on this queue, but they are not there. What happened?
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The world is waking up to the importance of tracing and tracking techniques, something experienced operations staff have used for decades.
In IT terms the idea of following the pathway (the act of tracing) that a user takes through a complex business system is the cornerstone of the analysis that is performed by security and operations teams every day.
As we prepare for the first rounds of business to open across the nation, we’re all expecting a number of things to happen in parallel, including:
We have seen a lot of usage of MQ Internet Pass-Thru gateway, MQIPT. MQIPT was originally released as a support pack (MS81) and is delivered as a standard feature of MQ (MQ 9.1.4). The support pack will no longer be supported after September 2020.
Note, that it is possible to use MQIPT from 9.1.4 and later with earlier versions of MQ.
1. Poor thread model where there is too much inter-thread synchronization or blocking on a common resource. Many developers overuse synchronized sections which slows down overall throughput.
2.
Click here to watch this parable as a video
When you hear people talking about messaging middleware (or messages in general), you frequently hear the term “payload” being used to describe the message content.
Recently I have setup test environments on both the IBM MQ and Confluent Kafka cloud offerings. For both of these the setup was quick and simple.
Since many applications today are using client connections, switching from a locally hosted service to a cloud offering was as simple as changing the connection URL.
There are some excellent sources of data on the spread of the COVID19 virus around the world, and across the different states and counties.
But how can you use this data to understand what is happening and how it can be expected to change over time?
When developers create a middleware messaging connection between apps, they may choose to do so without encryption, to keep things fast and simple.
Often apps rely on middleware level encryption which secures data in transit between middleware hubs (brokers).