Previously I wrote about the difference in technology today compared to when MQ first came out. One of the areas that is most notable is network speed and how that relates to I/O as well as reliability.

Previously I wrote about the difference in technology today compared to when MQ first came out. One of the areas that is most notable is network speed and how that relates to I/O as well as reliability.
1. Performance analysis for 3rd party Java software
2.
I recently had a technical problem to solve that had me stumped. My first reflex was to read the available documentation, hoping to find an answer. I didn't find what I was looking for.
I thought I’d share our experiences of running Solr in production. So far Solr 6.6.6 has been very stable provided GC, memory and other system resources are carefully managed. Here are some of the technical details which I hope will be useful to anyone considering this platform.
It is amazing how MQ has managed to stay relevant over all of these years. Looking back to when it first came out in the 1990's, we were dealing with 2400 baud modems connected to remote locations running a number of different technologies, over spotty telephone lines using token ring protocols.
While we all continue to shelter in place, many companies are now going through the process of getting ready to reopen offices. Here in New York the government has put in place a rigorous reopening plan (one that I suspect is similar to that of most other countries and states).
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.
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?