InfoQ Homepage Performance & Scalability Content on InfoQ
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How SeatGeek Successfully Handles High Demand Ticket On-Sales
Anderson Parra and Vitor Pellegrino discuss how their ticketing systems work and cover the virtual waiting room – the primary component that allows them to handle high-traffic ticket on-sales.
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Airbnb at Scale
Selina Liu walks through what it takes to decompose a large and complex monolith into independent, performant services, and how they evolve and scale the architecture with changing business needs.
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Depending on Whether I Had Coffee or Not, Your Application May Be High Risk
Shannon Morrison and Scott Behrens discuss how to perform application risk analysis at scale.
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Operating Pivotal Application Service at Scale
Yusuke Kondo and Akinori Nitta explain the challenges faced and solutions experienced to run and manage a large-scale platform.
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Introducing and Scaling a GraphQL BFF
Michelle Garrett talks about the journey of introducing and then scaling a GraphQL BFF to serve multiple applications.
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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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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!
Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.
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Performance Testing Crash Course
Dustin Whittle explains how to evaluate performance and scalability on the server-side and the client-side with tools like Siege, Bees with Machine Guns, Google PageSpeed, WBench, and more.
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0 – 100 MPH - Launching a New Product at Scale
Dan Macklin explains why bet365 has adopted Erlang as a core development platform and goes through the highs and lows of managing change in one of the world's biggest on-line bookmakers.
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Spring Batch Performance Tuning
Gunnar Hillert and Chris Schaefer examine various scalability options in order to improve the robustness and performance of the Spring Batch applications.
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Not Exactly! Fast Queries via Approximation Algorithms
Fangjin Yang, creator of Druid, shows how approximation algorithms can help system scale out linearly and process huge amount of data quickly with small memory footprint.
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Scaling Gilt: from Monolithic Ruby Application to Distributed Scala Micro-Services Architecture
Yoni Goldberg describes some of the technological innovations that have helped Gilt to reach its current size, and highlight some of the core challenges that the company's engineering team faces.
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