Posts Tagged ‘web performance data

Over the space of two years I have created a series of posts that explore the analytical and statistical concepts that compose the foundation of a solid Web performance strategy.
These mark my attempt to move from a purely technical analysis of providing a solution to the problem at hand. These posts move my approach to [...]

In the first three parts of this series, the focus has been on the business side of the business: Customer Generation, Customer Retention, and Business Operations. The final component of any discussion of why companies measure their Web performance falls down to Technical Operations.
Why is Technical Operations last?
This part of the conversation is the last, [...]

In the first part of this series, using Web performance measurements to generate new customers was the topic. This article focuses on using the same data to keep the customers you have, and make them believe in the value of your service.
Proving the Point
Getting a customer is the exciting and glamorous work. Resources are often [...]

Today’s Web interfaces are all about the Flash (literally). Smooth charting, cool effects, callouts to references — ways to try and simplify complex data collections.
Problem-solving and diagnosis requires a far deeper dive than the flashiest interface could ever provide, because it comes down to the numbers. The actual measurements that make up the flashy chart. [...]

Give almost any human being a hammer, and they will know what to do with it. Modern city dwellers, ancient jungle tribes, and most primates would all look at a hammer and understand instinctively what it does. They would know it is a tool to hit other things with. They may not grasp some of [...]

When I re-introduced my five articles on Web Performance Concepts last night, I had forgotten than I had already written two additional articles in the series.

Web Performance, Part VI: Benchmarking Your Site
Web Performance, Part VII: Reliability and Consistency

Look for Parts VII and IX in the next few days.

Two years ago I created a series of five blog articles, aimed at both business and technical readers, with the goal of explaining the basic statistical concepts and methods I use when analyzing Web performance data in my role as a Web performance consultant.
Most of these ideas were core to my thinking when I developed [...]

Tonight, I received a very lengthy email from a friend of GrabPERF who had some comments and concerns.
The hardest thing I have had to learn to do in my professional life is to listen to criticism, and not take it personally. It is something that does not come naturally to me, as my first reaction [...]

In the world of Web performance, the agreed upon state of Nirvana is the development of an automated system that will isolate, identify, diagnose and resolve (or suggest a resolution) to an issue.  However, the question for me is whether these systems are really useful.
Why do I say that? Because they solve the tactical issues. [...]

I found a great example of a Heavy-Tailed Frequency distribution in my performance data today.

This clearly shows how data in the wild can be distributed in a non-normal fashion. In this case, there is a very heavy weight on the end of the tail, not simply a few straggling outliers.
It has become very unusual to [...]


About this blog

Stephen Pierzchala is one of a cadre of crazy Canucks living in the United States. A 10-year veteran of the Web performance field, Stephen also writes on topics as diverse as branding and reputation, bipolar, and Web technologies.

Contact

stephen@pierzchala.com

+1.508.475.9490

Skype: stephen.pierzchala

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