InfoQ Homepage Performance Content on InfoQ
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Java for Low Latency - You’ve Got to Be Joking!
John Davies walks through and demonstrates how to reduce latency while increasing throughput in applications, with demos using Java 8 and lambdas.
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Distributed Scheduling with Apache Mesos in the Cloud
Diptanu Choudhury discusses the design of Netflix’ distributed scheduler based on Mesos and Titan, focusing on bin packing algorithms, scaling in and out of clusters, fault tolerance, and redundancy.
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Resilience, Service Discovery and Zero Downtime Deployment in Microservice Architectures
York Xyander, Bodo Junglas discuss strategies for service discoverability and transparent failover in a microservices architecture, how to achieve zero downtime and an auto-scaling architecture.
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JVM Optimization 101
Sebastian Zarnekow discusses JVM internal optimizations, presenting how the JVM sees through code to apply techniques like inlining, loop unrolling and escape analysis at runtime.
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Let’s Get to the Rapids: Java 8 Stream Performance
Maurice Naftalin discusses stream performance problems and creates guidelines for getting the best performance from Java 8 streams.
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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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Spotify Audio Delivery at Scale
Niklas Gustavsson presents Spotify's 2-layer services, and how the UNIX philosophy of composing components that does a single thing well works on a greater scale.
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Service Architectures at Scale: Lessons from Google and eBay
Randy Shoup discusses modern service architectures at scale, using specific examples from both Google and eBay. He covers some interesting lessons learned in building and operating these sites.
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Oh Hai HiDPI! Blasting Through the 96 dpi Barrier with Eclipse
Tony McCrary discusses HiDPI's impact on Eclipse software development, how to get the best performance on HiDPI devices, and what can be done to support HiDPI in the Eclipse platform and SWT.
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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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Lambda Mechanics
Marc Hoffmann explores the technical details of compiled lambda expressions and method references which come with several performance benefits and could also be used for other JVM languages.
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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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