InfoQ Homepage Performance Content on InfoQ
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Low Latency Trading Architecture at LMAX Exchange
Sam Adams overviews the architecture LMAX Exchange uses to deliver over $2 trillion a year through their platform, and shares their experience building a high-availability stateful system.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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High Performance Managed Languages
Martin Thompson explores how their managed runtimes can equal, and even better in some cases, the performance of native languages.
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Continuous Performance Testing
Mark Price talks about techniques for making performance testing a first-class citizen in a Continuous Delivery pipeline.
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Performance Testing in Java
Ix-chel Ruiz and Andres Almiray talk about the tools, like JMeter and JMH, and some techniques that should make engaging in performance testing a rewarding experience.
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Machine Learning at Scale
Aditya Kalro discusses using large-scale data for Machine Learning (ML) research and some of the tools Facebook uses to manage the entire process of training, testing, and deploying ML models.
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Causal Consistency for Large Neo4j Clusters
Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.
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Deep Learning at Scale
Scott Le Grand describes his work at NVidia, Amazon and Teza, including the DSSTNE distributed deep learning framework.
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Reactive & Asynchronous - Adventures with APIs in Financial Trading
Michael Barker discusses several low-latency APIs used for financial trading, what makes them fast and how they compare to HTTP/REST/JSON/XML APIs.
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Performance and Search
Dan Luu discusses how to estimate performance using back of the envelope calculations that can be done in minutes or hours, even for applications that take months or years to implement.
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Scaling up Near Real-Time Analytics @Uber &LinkedIn
Chinmay Soman and Yi Pan discuss how Uber and LinkedIn use Apache Samza, Calcite and Pinot along with the analytics platform AthenaX to transform data to make it available for querying in minutes.
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ScyllaDB: Achieving No-Compromise Performance
Avi Kivity discusses ScyllaDB, the many necessary design decisions, from the programming language and programming model through low-level details and up to the advanced cache design, and more.
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