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In the Cloud, you have to trust your instruments...

Michael Kopp

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Top Stories by Michael Kopp

Anyone who ever monitored or analyzed an application uses or has used averages. They are simple to understand and calculate. We tend to ignore just how wrong the picture is that averages paint of the world. To emphasis the point let me give you a real-world example outside of the performance space that I read recently in a newspaper. The article was explaining that the average salary in a certain region in Europe was 1900 Euro's (to be clear this would be quite good in that region!). However when looking closer they found out that the majority, namely 9 out of 10 people, only earned around 1000 Euros and one would earn 10.000 (I over simplified this of course, but you get the idea). If you do the math you will see that the average of this is indeed 1900, but we can all agree that this does not represent the "average" salary as we would use the word in day to day li... (more)

How Garbage Collection Differs in the Three Big JVMs

(Note: If you’re interested in WebSphere in a production environment, check out Michael's upcoming webinar with The Bon-Ton Stores) Most articles about Garbage Collection ignore the fact that the Sun Hotspot JVM is not the only game in town. In fact whenever you have to work with either IBM WebSphere or Oracle WebLogic you will run on a different runtime. While the concept of Garbage Collection is the same, the implementation is not and neither are the default settings or how to tune it. This often leads to unexpected problems when running the first load tests or in the worst case... (more)

Eating Our Own Dog Food – 2x Faster Hadoop MapReduce Jobs

For a while now I have been writing about how to analyze and optimize Hadoop jobs beyond just tweaking MapReduce options. The other day I took a look at some of our Outage Analyzer Hadoop jobs and put words into action. A simple analysis of the Outage Analyzer jobs with Compuware APM 5.5 identified three hotspots and two potential Hadoop problems in one of our biggest jobs. It took the responsible developer a couple of hours to fix it and the result is a 2x improvement overall and a 6x improvement on the Reduce part of the job. Let's see how we achieved that. About Outage Analyze... (more)

Application Performance Monitoring in Production

Setting up Application Performance Monitoring is a big task, but like everything else it can be broken down into simple steps. You have to know what you want to achieve and subsequently where to start. So let’s start at the beginning and take a top-down approach Know What You Want The first thing to do is to be clear of what we want when monitoring the application. Let’s face it: we “do not want to” ensure CPU utilization to be below 90 percent or a network latency of under one millisecond. We are also not really interested in garbage collection activity or whether the database ... (more)

Cloud Computing: Cloud Expo in NYC is Coming!

Another year and another Cloud Expo in New York. This year I will be giving two different presentations. The first is on Application Performance Monitoring in the Clouds. In this talk I will cover the five top lessons we have learned about performance and cloud applications. The second is about Performance Management in ‘Big Data' Applications. Most articles that I found on performance and Big Data are about the performance options on the Big Data product itself, but tend to be pretty light on the application itself. In this talk I will cover the two sides of BigData (Hadoop Ma... (more)