Since we announced our support for Amazon Web Service's Aurora last year, we've had great experiences working with customers who use Aurora as their database system of choice. And not only is Amazon's RDS excellent, so is their team and support.

Recently, we encountered a MySQL bug that was, in turn, having effects on Amazon’s RDS. The MySQL issue involved a problematic query that caused Aurora instances to crash under load; upon discovering this issue, we had the opportunity to work with AWS to identify the error in MySQL and fix it, so that it would avoid an impact on AWS’s systems. It turned out that the query itself posed a potential problem for all monitoring services -- not just VividCortex; fortunately, however, once AWS addresses the bug, the problem will be fixed for all monitoring products that might come across it, …

Back in January 2010, I wrote an article titled Proxy Trace : Tracing the Variables and Functions Available within MySQL Proxy.

That post was basically a lua script I posted which traces the steps of Proxy, outputting comments as it traverses through the various functions, and then outputs the names and values of [most of] the available variables available within Proxy.

That script worked fine with Proxy 0.7.2 and 0.8.0. It also works just fine with Proxy 0.8.1 (though you need to specify your admin settings in 0.8.1) and 0.8.2 (admin values not necessary).

However, I did go ahead and build it out a little further.

I did not add too much, but I did add the following (the full script, trace.lua, is provided at the end of this post):

• Outputs backends.type variable
• Expanded the rows returned outputs (returns more detailed row …

In the past few weeks I've been implementing advanced search at Plaxo, working quite closely with Solr enterprise search server. Today, I saw this relatively detailed comparison between Solr and its main competitor Sphinx (full credit goes to StackOverflow user mausch who had been using Solr for the past 2 years). For those still confused, Solr and Sphinx are similar to MySQL FULLTEXT search, or for those even more confused, think Google (yeah, this is a bit of a stretch, I know).

Similarities

• Both Solr and Sphinx satisfy all of your requirements. They're fast and designed to index and search large bodies of data efficiently.
• Both have a long list of high-traffic sites …