InfoQ Homepage application performance management Content on InfoQ
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Introduction to D3.js
Bryan Nehl introduces the D3.js visualization library, demonstrating and explaining the code behind some of the more practical and interesting visualizations and charts.
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Understanding Performance with DTrace: A Case Study
Adam Leventhal introduces DTrace, using a case study o solve a performance problem.
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Containers, FTW!
Michael Hausenblas introduces containers, microservices and dealing with security, monitoring and troubleshooting using Apache Mesos/Marathon and Kubernetes.
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Chaos Kong - Endowing Netflix with Antifragility
Luke Kosewski describes Flow, how it adds value to a microservice architecture, what preconditions must be met for such a recovery mechanism to succeed, and tells the story of a 2015 Q4 outage.
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Unorthodox Paths to High Performance
Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.
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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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