InfoQ Homepage Performance Content on InfoQ
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API Virtualization – Mocking on Steroids
Ole Lensmar takes a look at a number of common API virtualization use cases - design-first development, sandboxing and load testing - to see how and when virtual APIs can help and when they can’t.
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Pulsar: Real-time Analytics at Scale
Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.
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LDB: 10x Performance Increase after Rewriting Linked-in C Module in Pure Erlang
Daniel Pezely discusses the 10 fold performance increase of a Lisp and C system after rewriting it in Erlang, outlining where issues existed before and the design and implementation of the new system.
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Atomic Counters or a Lesson on Performance and Hardware Concurrency
Detlef Vollmann explores the performance and scalability issues of atomic
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Interactive Analytics at Scale with Druid
Julien Lavigne du Cadet discusses how Criteo uses Druid: an open-source, real-time data store designed to power interactive applications at scale, covering Druid's architecture and internals.
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What We Talk About When We Talk About Unit Testing
Kevlin Henney discusses unscalable tests, tricks and tips that make tests more specification-like and scalable to large codebases, and choosing between scenario-based and property-based test cases.
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Operating Microservices
Michael Brunton-Spall shows how DevOps-like patterns can be applied on microservices to give the development teams more responsibility for their choices, and much more.
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Engineering for Scale at VMTurbo
Sylvia Isler presents a microservices case study and lessons learnt - how VMTurbo took the plunge to evolve its monolithic system architecture into a system based on composable microservices.
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Beating Hand Tuned Assembly in Compiled Languages
David Richardson presents the optimization techniques employed to set three world speed records using a combination of code generation and hardware specific optimizations.
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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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