InfoQ Homepage application performance management Content on InfoQ
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Priming Java for Speed at Market Open
Gil Tene provides an overview of JIT compiler optimization techniques and their impact on common market-open slowdown scenarios.
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Responding Rapidly When You Have 100GB+ Data Sets in Java
Peter Lawrey discusses data-driven reactive systems, profiling latency distribution in such an environment, finding rare bugs, implementing resilience and monitoring.
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Visual Storytelling With D3: A Conceptual Introduction to Visualizing Data with JavaScript
Ritchie King introduces core concepts of D3, a chart JavaScript library, showcasing its capabilities for visualizing data in the browser.
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Cybertron: Pushing the Limit on I/O Reduction in Data-Parallel Programs
The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.
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Performance Tuning in the Trenches
Donald Belcham shares from his experience tuning the performance of a system in a short time.
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Beating the Traffic Jam Using Embedded Devices, OPC-UA, Akka and NoSQL
Kristoffer Dyrkorn presents the experiences gained by the Norwegian Public Roads Administration in building a new infrastructure for road traffic measurements.
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Continuous Delivery: Tools, Collaboration, and Conway's Law
Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery.
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High Impact Facilitation
Lynne Cazaly shares insight on how to start a high impact meeting or workshop, the process, the agenda, and the tools that can help facilitate such an event.
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Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
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Performance Tuning Grails Applications
Lari Hotari discusses how to optimize Grails' performance to get full benefits from it.
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Java Performance Panel
The panelists discuss Java performance topics, bringing their specific experiences to bear.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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