InfoQ Homepage Low Latency Content on InfoQ
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The Journey to a Million Ops / Sec / Node in Venice
Alex Dubrouski, andGaojie Liu discuss some of the tricks used in their pursuit to lower read latency and to reach 1M operations per second per node.
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Building Latency Sensitive User Facing Analytics via Apache Pinot
Chinmay Soman discusses how LinkedIn, Uber and other companies managed to have low latency for analytical database queries in spite of high throughput.
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Achieving Low-Latency in the Cloud with OSS
Mark Price explores the improvements in cloud networking technology and outlines techniques for low-latency messaging from an application and operating-system perspective.
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Distributed Tracing: Latency Analysis for Your Microservices Using Spring Cloud & Zipkin
Marcin Grzejszczak, Reshmi Krishna discuss some of the latest features introduced in Spring Cloud Sleuth, showing how to use them to measure latency in a Spring Boot application.
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Latency and Event Tracing with Spring Cloud Data Flow
Presenters discuss how Charles Schwab used Sleuth/Zipkin with SCDF to provide latency and event tracing.
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Latency Sensitive Microservices
Peter Lawrey discusses the overlap between microservices and a trading system, how to make microservices easy to test and performant, and how to easily maintain a trading system.
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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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Latency Sensitive Microservices
Peter Lawrey looks at the differences between microservices and monolith architectures and their relative benefits and disadvantages.
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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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Low Latency Microservices in Java
Peter Lawrey discusses the differences between microservices and monolith architectures, their relative benefits and disadvantages, patterns and strategies implementing low latency microservices.
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The Quest for Low-latency with Concurrent Java
Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.
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