InfoQ Homepage application performance management Content on InfoQ
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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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Monitoring and Troubleshooting Real-Time Data Pipelines
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
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An Erlang-Based Philosophy for Service Reliability
Jamshid Mahdavi explains how WhatsApp has developed their server components, the deployment processes, and how they monitor, alert, and repair the inevitable failures in a billion-users service.
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The Dark Art of Container Monitoring
Luca Marturana covers the current state of the art for container monitoring and visibility, including real use cases with pros/cons of each and focuses on advanced container visibility techniques.
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Compositional I/O Stream in Scala
Runar Bjarnason presents how to get started with the Scalaz-Stream library, shows some examples, and how we can combine functional streams into large distributed systems.
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Examining Low Pause Garbage Collection in Java
John Oliver takes a look at both G1 and Shenandoah, explaining how they work, what are their limitations, providing tuning advice. He also looks at recent and future changes to garbage collection.
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Java 9 - The (G1) GC Awakens!
Monica Beckwith talks about G1 pause (young and mixed) composition, G1's remembered sets and collection set and G1's concurrent marking algorithm, providing performance tuning advice.
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Understanding HotSpot JVM Performance with JITWatch
Chris Newland discusses performance-boosting techniques used by the JVM’s JIT and introduces JITWatch, a tool helping to get the best JVM performance for a code.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Broken Performance Tools
Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. He advises on how to approach new performance tools.
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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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Trench Talk: Models and Friends
Yves Reynhout discusses models, how they're created and tested against scenarios, how they're useful, what distinguishes them from others, how they're visualized and communicated, etc.
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