Hands-On Tutorial: 5 Steps to Identify Java and .NET Memory Leaks

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I keep getting questions about how to best analyze memory leaks – especially when they are not always reproducible by the developer on the local workstation. If you never experienced a memory leak issue (or you simply don’t admit it) then read up on some real life examples on our blog: Fixing Memory Leak in Java Production Environment or DevOps way to solving Memory Issues. If you want to test this out on your Java or .NET Application follow my steps in this blog, watch my ... More >

Find the Root Cause Faster with Dynatrace 6.1

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I am pleased to announce that Dynatrace 6.1 Beta is now available for everyone that is interested in building better performing applications. Dynatrace 6.1 includes many enhancements requested by our 83k+ user community. We took the feedback we received from our users and invested heavily in Ease of Use and more Automatic Diagnostics. Follow these steps to setup Dynatrace for a typical Java Web Application – or watch my YouTube Tutorials (for Java, .NET and PHP) – to see ... More >

How 15 Minutes Spent on Optimizing Performance Could Save you Millions in Lost Revenue

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Whether you are well established e-Commerce brand such as Nordstrom, JCPenny, or Costco, or a small business with a web shop, it’s never too late to do your end user performance homework. Robert, who developed and runs a “smaller” ASP.NET MVC based web shop, started getting individual user complaints about performance and usability problems. A simple online Performance Test  revealed that the site was not among the fastest when compared to other players in the ... More >

Web and App Server Monitoring Basics: Trending Transaction Performance and Throughput

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On our about:performance blog we talk a lot about problem patterns such as too many database statements, wasteful memory management leading too much garbage collection, web performance worst practices or performance of cloud and virtualized environments. I was recently intrigued by a couple of screenshots my colleague Reinhard showed me which give a perfect overview of load and response time behavior based on a set of very basic performance metrics. For me the following ... More >

Playbook for Performance at Velocity New York 2014

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Last week at Velocity Conference - New York I had the opportunity to sit in keynote address by Mikey Dickerson on the topic "One Year After healthcare.gov: Where Are We Now?" Mikey Dickerson is the Administrator/Deputy CIO of USDS. In October, 2013 he took a leave of absence from Google to join what became known as the “ad hoc” team that rescued healthcare.gov after its disastrous launch on October 1. Mikey talked about how healthcare.gov was built/launched with no ... More >

Bad Deployments: The Performance Impact of Recursive Browser Redirect Loops

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100% Coverage I just recently wrote a blog about BOTs causing unwanted traffic on our servers. Right after I wrote this blog I was notified about yet another “interesting” and unusual load behavior on our download page which is used by customers to download latest product versions and updates: If you see such a load behavior you typically assume that you just released a new product version or maybe an update to our agents and many people are downloading it like crazy. ... More >

Detecting Bad Deployments on Resource Impact and Not Response Time: Hotspot Garbage Collection

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This story came in from Joseph - one of our fellow dynaTrace users and a performance engineer at a large fleet management service company. Their fleet management software runs on .NET,  is developed in-house, is load tested with JMeter and monitored in Production with dynaTrace. A usage and configuration change of their dependency injection library turned out to dramatically impact CPU and memory usage while not yet impacting end user experience. Lessons learned: resource ... More >

How to Optimize the Good and Exclude the Bad/ Bot Traffic that Impacts your Web Analytics and Performance

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This blog is about how a new generation of BOTs impacted our application performance, exploited problems in our deployment and skewed our web analytics. I explain how we dealt with it and what you can learn to protect your own systems. Another positive side-effect of identifying these requests is that we can adjust our web analytic metrics we report to management. Tools like Google Analytics can’t exclude all of these requests as they cannot always be identified by IP ... More >

Data Driven Performance Problems are Not Always Related to Hibernate

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Data-driven performance problems are not new. But most of the time it’s related to too much data queried from the database. O/R mappers like Hibernate have been a very good source for problem pattern blog posts in the past. Last week I got to analyze a new type of data-driven performance problem. It was on an application processing rather complex online documents. A representative document that takes 42s in testing takes almost 5.5 minutes in production – that’s roughly 8 ... More >

How to Spruce up your Evolved PHP Application – Part 2

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In the first part of my blog I covered the data side of the tuning process on my homegrown PHP application Spelix: database issues, caching on both the server and the client. By just applying these insights I could bring Spelix to a stage where the number of users could be increased by more than 150%, and user experience could be improved to make existing users eager to work with the system. By having more users contributing and delivering input, Spelix became more and ... More >