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).
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.
Mike Mallete discusses the why performance appraisals fail and what can be done instead.
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.
John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.
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.
Examining the role of monitoring and testing techniques in solving DevOps problems.
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.
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.