InfoQ Homepage Performance Content on InfoQ
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Scaling Stack Overflow: Keeping it Vertical by Obsessing Over Performance
David Fullerton shares some of the things the Stack Exchange tech team have learned along the way while scaling one of the top sites in the world primarily through vertical scaling.
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A Pragmatic Introduction to Multicore Synchronization
Samy Bahra discusses high performance multicore synchronization, scalability bottlenecks in multicore systems and memory models, and scalable locking and lock-less synchronization.
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Ground-up Introduction to In-memory Data
Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.
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Elements of Scale
Ben Stopford examines tools, mechanisms and tradeoffs that allow a data architecture to scale, from disk formats to fully blown architectures for real-time storage, streaming and batch processing.
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Modern Fast Streaming Data
Todd Montgomery challenges some of the common myths and misconceptions about high performance streaming data, and takes a look at what is really possible today.
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Scaling Distributed Systems
Natalia Chechina outlines features of actor and functional programming models, and the reason these models attract so much interest in parallel, concurrent, and scaling world.
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Data Structure Adventures
Joseph Blomstedt presents ongoing work to build a new set of high performance data structures for Erlang, including both single process data structures as well as various concurrent data structures.
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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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