InfoQ Homepage Performance Evaluation Content on InfoQ
Presentations
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Performance Mythbusting Panel
The panelists answer audience questions on real-world applied performance proofs across stacks including Java, .NET and Python.
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Performance and How to Measure It
Matt Warren takes a look at how to measure, what to measure and how get the best performance from .NET code, considering examples from the Roslyn codebase and StackOverflow (the product).
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Java vs. C Performance
Cliff Click takes a look at Java vs C performance. He discusses both languages' strong and weak points and the programming context surrounding language choices.
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Performance Appraisals - The Bane of Agile Teams
Mike Mallete discusses the why performance appraisals fail and what can be done instead.
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Performance from the User‘s Perspective
Alois Reitbauer explains why the server response time and synthetic transactions are not good enough performance indicators, presenting a way of measuring page performance as perceived by the user.
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Anomaly Detection, Fault Tolerance and Anticipation Patterns
John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.
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Performance Testing at the Edge
Alois Reitbauer shows how to do performance testing during development, testing, and production by starting early in the development phase, breaking the test into pieces, and testing continuously.
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DevOps Requires Visibility: Monitoring, Testing and Performance
Examining the role of monitoring and testing techniques in solving DevOps problems.
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JavaScript: Measuring Performance, Games, and Distributed Testing
John Resig touches three JavaScript issues: performance measuring, creating games and performing distributed testing.
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Measuring Agile in the Enterprise: 5 Success Factors for Large-Scale Agile Adoption
Michael Mah analyzes the development process in 5 companies: 2 Agile (one of them BMC) and 3 classic. He presents the factors which contributed to the success of BMC's Agile adoption.
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Maintaining Java Apps in Production Environments
Alexandre Rafalovitch overviews the tools and techniques that help with resolving problems that arise in production environments including common problems and rapid root cause determination methods.