Organizations / Events
Computer Measurement Group (CMG)
ACM SIGMETRICS, the ACM
Special Interest Group (SIG) for the computer/communication system performance community
IFIP Technical Committee 7: System Modeling and Optimization
Velocity Web Performance and Operations Conference from O'Reilly Media
New York Web Performance Group and other Web Performance Meetup Groups
Surge, a scalability and performance conference
@Scale, a series of technical conferences for engineers who build or maintain systems that are designed for scale.
Wikipedia about Performance Engineering
SPE·ED Dr. Connie U. Smith's site about Software Performance Engineering (SPE) and SPE·ED - a tool support the SPE methods and models, including SPE publications
CMG conference proceedings from 1976 through 2010 a unique collection of papers about capacity planning, performance engineering, and performance management
High Scalability Blog "Building bigger, faster, more reliable websites"
Performance By Design blog by Mark Friedman
Software Performance Engineering blog by Walter Kuketz
Thinking Clearly about Performance by Cary Millsap
Performance Engineering for Systems in the Early Stages by Sudha Paidipati,
an overview in line with Dr. Smith's approach.
Performance, or Engineering? by Daniel A. Menascé
Performance Engineering Parables by Chris Papineau
Process Maturity Model by Michael Maddox
De-Mystifying Software Performance Optimization by Paul Del Vecchio
Towards Component-Based Software Performance Engineering by Antonia Bertolino and Raffaela Mirandola
UML Profile for Schedulability, Performance, and Time Specification Version 1.1
Performance Programming: Theory, Practice and Case Study
A tutorial by Rajat Garg, Ilya Sharapov and Alistair Rendell presented at SC2002
mBrace Part I
- A pragmatic model driven approach for performance engineering of transaction processing systems
by Michael Kok
Exploring roles for the UML diagrams in software performance
engineering by Jose Merseguer and Javier Campos
Performance Anti-Patterns by Bart Smaalders
Software Performance Anti-Patterns discussion
Detecting Performance Antipatterns in Component Based Enterprise Systems by Trevor Parsons and John Murphy
Modern Enterprise Performance Analysis Antipatterns by Ben Evans
1202 Performance Performance by Design, Andrew Lee's site
for Free by Andrew Lee
Infosys Performance Engineering White Papers
Peeling the Layers of the "Performance Onion" by John Murphy, Andrew Lee and Liam Murphy
Introducing Performance Engineering by means of Tools and Practical Exercises
Performance Engineering Lab Dublin publications
Highly Scalable Blog, articles on highly scalable software engineering
Performance Engineering of Software Systems, MIT Open Courseware
Beyond performance testing: How fast is fast enough by Scott Barber
Get performance requirements right - think like a user by Scott Barber
How To: Consolidate Various Types of Performance Acceptance Criteria
Worth the Wait? by Peter Bickford
Quality is in the eye of the beholder:
Meeting users' requirements for Internet quality of service by Bouch, A., Kuchinsky, A. and Bhatti, N.
When Is Your Web Site Fast Enough? by Chris Loosley
Response Times: The Three Important Limits,
excerpt from Chapter 5 of Usability Engineering, 1994 by Jakob Nielsen
Website Response Times by Jakob Nielsen
Response time in man-computer conversational transactions,
1968 paper by Robert Miller quoted by almost all later research
Understanding How Users View Application Performance by Peter Sevcik
How Fast Is Fast Enough by Peter Sevcik
Acceptable Response Times by Chris Loosley
Apdex web site "Apdex is a numerical measure of user satisfaction with the performance of enterprise applications, and reflects the effectiveness of IT investments in contributing to business objectives."
eCommerce Web Site Performance Today report by Forrester Consulting on behalf of Akamai Technologies, 2009.
Community Modeling Language (UCML 1.1™) for Performance Test Workloads by
SEI Load Test
Planning Process by Mark McWhinney
Characterization by Daniel A. Menascé
Performance Requirements by Manish Pande and Rajeshwari Ganesan
Quality Attribute Scenarios in Practice from Software Architecture in Practice
Quantifying Quality Requirements Using Planguage by Eric Simmons
Using the Analytic Hierarchy Process (AHP) To Identify Performance Scenarios for Enterprise Applications
by Nidhi Tiwari
Addressing Performance Requirements Using a Goal and Scenario-Oriented Approach by Zhiming Cai and Eric Yu
for Estimating the Number of Concurrent Users by Eric Man Wong
Observability by Adrian Cockcroft
Requirements-by-Example by Adriano Comai
Steve Seow's Blog, the author of Designing and Engineering Time
Tools that could be used on early stages of computer systems
design and development when no system monitoring results exist. See
other Modeling Tools in Performance Management section.
SPE·ED "a tool designed specifically to support the SPE methods
and models defined in Connie U. Smith's book." "Using a small amount of data about envisioned software processing,
SPE·ED creates and solves performance models, and presents visual results." Doesn’t have interfaces to monitoring
CA (former HyPerformix)
Performance Optimizer. Uses discrete event simulation modeling technology. System
topology is descried by graphical diagrams. Software behavior is simulated by a scripting
language. Has interfaces to different types of monitoring data.
It is often difficult to separate information how to design systems with good
performance (architecture, performance patterns, language structures, etc.) from
information how to tune and deploy systems, quite often both sides are
considered. Although more architecture- technology- and language - oriented
links are placed here, a lot of related information can be found in the
Java Performance Tuning
Java Performance from Wikipedia
J2EE Performance for WebLogic,
WebSphere, JBoss, etc.
Scaling Your Java EE Applications, part 1 and part 2 by Wang Yu
Java Caching System (JCS)
Caching Dynamic Content with JSP 2.0 by Andrei Cioroianu
IBM WebSphere Developer Technical Journal: The top Java EE best practices
Microsoft .NET Framework: Performance
includes information on logging, tracing, profiling, and other diagnostic
techniques for analyzing and monitoring .NET applications.
Improving .NET Application Performance and Scalability online version
the Microsoft Press book
Windows Performance Analysis Developer Center
(Semi) Official Developer Division Performance Engineering blog News and commentary on developing scalable Windows applications
Vance Morrison's Blog, .Net performance
Rico Mariani's and
Maoni's blogs about CLR performance
CLR Perf Team Blog
Visual Studio Profiler Team Blog
Monitoring and Improving ASP.NET Application Performance by John Chapman
Improving ASP.NET Application Performance and Scalability by Joydip Kanjilal
10 Tips for Writing High-Performance Web Applications by Rob Howard
Book of Speed by Stoyan Stefanov
Web Performance Hub from Strangeloop
High performance Web Sites site and blog by Steve Souders
Definitive front-end performance guide
Best Practices for Speeding Up Your Web Site by Yahoo
Web Performance Today blog by Joshua Bixby
Ilya Grigorik's blog
Performance Tips & Resources for PHP, Java, .Net, Python and Ruby
Measuring Web Performance by Steve Thair
Performance Matters blog by Chris Loosley
Speed Awareness Month, tips and tools to speed up your website
10 Realistic Steps to a Faster Web Site by Alexander Kirk
Webpagetest.org tests website performance
Yslow analyzes web pages and suggests ways to improve their performance
Smush.it “smushes” images to make them smaller without losing any noticeable quality.
Show Slow is an open source tool that helps monitor various website performance metrics over time. It captures the results of YSlow, Page Speed and dynaTrace AJAX Edition rankings and graphs them, to help you understand how various changes to your site affect its performance
Mobile Perf Bookmarklet – According to Steve Souders, “Web development on mobile devices is especially challenging. The debuggers and profilers we use on the desktop aren't available. Bookmarklets are a good alternative.”
PageSpeed is a family of tools for optimizing the performance of web pages started at Google
mod_pagespeed is an open-source Apache module that automatically optimizes web pages and resources on them
HTTParchive.org a permanent repository of web performance information such as size of pages, failed requests, and technologies utilized.
Whichloadsfaster.com Pages compete head-to-head in your browser to see who's fastest
GTmetrix uses Google Page Speed and Yahoo! YSlow to grade your site's performance and provides actionable recommendations to fix these issues
Redbot analyses how well your site is managing the browser caching
High Performance SOA by Jason Bloomberg, a high-level overview
The Hoard Memory Allocator
X Window System Application Performance Tuning by Kenton Lee
List of performance analysis tools from Wikipedia
Quest JProbe "...complete
performance toolkit for Java code tuning. JProbe helps developers diagnose and
resolve performance bottlenecks, memory leaks, excessive garbage collection,
threading issues and coverage deficiencies in their J2EE and J2SE applications."
Looks like discontinued by Dell.
Intel VTune "Integrated performance analysis and tuning
environment that enables you to analyze your code's performance on Intel
architecture processors." Windows and Linux. C++, Java/J2EE, .Net, Fortran. Free
Borland / Micro Focus (former Compuware)
DevPartner "provides a comprehensive development, debugging and tuning
solution to the challenges of application development, from concept to coding to
completion. DevPartner products cover Microsoft, Java, 64-bit and driver
PurifyPlus Memory corruption detection, memory leak detection, application
performance profiling, code coverage analysis. Can not find any mention of
Rational Quantify (was name for the Rational profiler) now, perhaps it is
included in PurifyPlus now (Purify was a memory debugger). Windows, Linux and
UNIX. Java , C/C++, managed VS.NET languages (including C# and VB.NET), Visual
C/C++, and Visual Basic.
YourKit tools for profiling Java & .NET applications.
HttpWatch, an integrated HTTP sniffer for IE and Firefox that provides new insights into how your website loads and performs, free Basic Edition
Fiddler Web Debugging Proxy, freeware
All that profilers should be used with big caution in load testing and
production: in most cases they will not work due to huge performance overheads.
There are some performance
management tools that were developed for profiling and performance
diagnostics under load.
Only basic monitoring (using operating systems tools and utilities) are
considered here. See the
Application Performance Management Tools section for production level
monitoring and diagnostics.
Measuring and Monitoring NT Performance paper
and Monitoring NT Performance slides by Jerry Rosenberg
Windows 2000 Performance Counters Reference
Windows 2003 Performance Counters Reference
Introduction to Windows Server 2003's Performance Monitor
Windows Performance Monitor Windows 2008
Understanding .NET Performance Counters
Understanding SQL Performance Counters
Important Counters for Web Testing from Microsoft
Overview of ASP.NET Performance Monitoring
Access Windows Performance Monitor Counters from Java by Nicholas Whitehead
Publications: UNIX, AIX, and Linux performance tuning presentations provide a lot of information about monitoring
UNIX Performance Data Analysis by Ellen Friedman
Wilson Mar's performance
Topping top in Solaris 8 with prstat by Tom Kincaid and Andrei Dorofeev
Extreme Linux Performance Monitoring and Tuning
Extreme Linux Performance Monitoring Part II
Solving SAS Performance Problems: Employing Host Based Tools by Tony Brown
Proactive Application Monitoring by Alexandre Polozoff
MonitorTools.com Site devoted to
Response Measurement) API to enable applications to provide information to
measure business transactions from an end user perspective and the contributing
components of response time in distributed applications. There are C and Java bindings.
Monitoring and Management for the Java Platform
Management Protocol (SNMP) is an application layer
protocol that facilitates the exchange of management information between network
More Reliable Software Faster and Cheaper - An Overview by John D. Musa
Software-Reliability-Engineered Testing by John D. Musa and James Widmaier
John Sellens' Reliability Page
International Symposium on Software Reliability Engineering (ISSRE)
Software Reliability references by the DACS
Articles and Papers about Software Reliability
Click on the book or its title to see book information and
reviews (if available) on Amazon.com
Performance Engineering of Software Systems by Connie U. Smith, 1990.
High-Performance Client/Server by Chris Loosley and Frank Douglas, 1997.
Designing Concurrent, Distributed, and Real-Time Applications with UML by Hassan Gomaa, 2000.
Performance Solutions: A Practical Guide to Creating Responsive, Scalable Software by Connie U. Smith and Lloyd G. Williams, 2001.
Software Reliability Engineering: More Reliable Software Faster and Cheaper by John D. Musa, 2004.
Building Scalable Web Sites: Building, Scaling, and Optimizing the Next Generation of Web Applications by Cal Henderson,2006.
Scalable Internet Architectures by Theo Schlossnagle, 2006.
Designing and Engineering Time: The Psychology of Time Perception in Software by Steven C. Seow, 2008.
Software Performance and Scalability: A Quantitative Approach by Henry H. Liu, 2009.
Web Operations: Keeping the Data On Time by John Allspaw and Jesse Robbins, 2010.
Scalability Rules: 50 Principles for Scaling Web Sites by Martin L. Abbott and Michael T. Fisher, 2011.
The Art of Scalability: Scalable Web Architecture, Processes, and Organizations for the Modern Enterprise by Martin L. Abbott and Michael T. Fisher, 2nd edition, 2015.
Time Is Money: The Business Value of Web Performance by Tammy Everts, 2016.
Performance Analysis for Java Websites by Stacy Joines, et al, 2002.
Java Performance Tuning (2nd Edition) by Jack Shirazi, 2003
Java Concurrency in Practice by Brian Goetz, et al, 2006.
Pro Java EE 5 Performance Management and Optimization by Steven Haines, 2006.
Effective Java by Joshua Bloch, 2008.
Java Performance by Charlie Hunt and Binu John, 2011.
Java Performance and Scalability: A Quantitative Approach by Henry H. Liu, 2013.
Java Performance: The Definitive Guide by Scott Oaks, 2014.
Professional ASP.NET Performance by Matt Odhner, et al, 2002.
Maximizing .NET Performance by Nick Wienholt, 2003.
Performance Tuning and Optimizing ASP.NET Applications by Jeffrey Hasan and Kenneth Tu, 2003.
Improving .Net Application Performance and Scalability (Patterns & Practices), Microsoft, 2004.
Parallel Programming with Microsoft .NET by Colin Campbell, et al, 2010.
.NET Performance Testing and Optimization - The Complete Guide by Paul Glavich and Chris Farrell, 2010.
ASP.NET Site Performance Secrets by Matt Perdeck, 2010
Pro .NET Performance: Optimize Your C# Applications by Sasha Goldshtein, et al, 2012.
Ultra-Fast ASP.NET 4.5 by Rick Kiessig, 2012
Writing High-Performance .NET Code by Ben Watson, 2014
Web Performance Tuning by Patrick Killelea, 2002
High Performance Web Sites: Essential Knowledge for Front-End Engineers by Steve Souders, 2007.
Website Optimization: Speed, Search Engine & Conversion Rate Secrets by Andrew King, 2008.
Complete Web Monitoring: Watching Your Visitors, Performance, Communities, and Competitors by Alistair Croll and Sean Power, 2009.
Even Faster Web Sites: Performance Best Practices for Web Developers by Steve Souders, 2009.
Pro PHP Application Performance: Tuning PHP Web Projects for Maximum Performance by Armando Padilla and Tim Hawkins, 2010.
Pro HTML5 Performance by Jay Bryant and Mike Jones, 2012.
Web Performance Daybook Volume 2 by Stoyan Stefanov, et al, 2012.
Professional Website Performance: Optimizing the Front-End and Back-End by Peter Smith, 2012.
High Performance Browser Networking: What every web developer should know about networking and web performance by Ilya Grigorik, 2013.
High Performance Responsive Design: Building Faster Sites Across Devices by Tom Barker, 2014.
Designing for Performance: Weighing Aesthetics and Speed by Lara Hogan, 2014.
Site Reliability Engineering: How Google Runs Production Systems, 2016