InfoQ Homepage Scalability Content on InfoQ
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Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges
Matthias Niehoff discusses bridging the gap between application and data engineering. Learn to apply software engineering best practices, embrace boring technologies, and simplify architecture.
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Scaling the BBC Design System: Tooling, Community, Governance and Gardening
Sophie Beaumont discusses how her team built a web design system that scales to serve 4.8 billion requests a month.
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Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
Sergii Gorbachov discusses how Slack saved thousands of hours by using a hybrid AST/LLM approach to automate complex code migration, sharing a transferable model for other companies.
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Platform Engineering Patterns for Scalable Software Delivery
Discover how to build a successful Internal Developer Platform (IDP). The panelists share key patterns and lessons learned for scaling platform engineering.
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Changing the Model: Why and How We Re-Architected Slack
Ian Hoffman discusses Slack's architectural evolution, from workspace-centric to a unified grid, highlighting key learnings.
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How GitHub Copilot Serves 400 Million Completion Requests a Day
David Cheney explains the architecture powering GitHub Copilot, detailing how they achieve sub-200ms response times for millions of daily requests.
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The Harsh Reality of Building a Real-Time ML Feature Platform
Ivan Burmistrov shares how ShareChat built their own Real-Time Feature Platform serving more than 1 billion features per second, and how they managed to make it cost efficient.
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Empirical Observations on the the Future of Scalable UI Architecture
Willian Martins discusses a concise course of action regarding the patterns to introduce into a UI system and how to build UI architectures for scale.
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Evolving Trainline Architecture for Scale, Reliability and Productivity
Milena Nikolic discusses how Trainline's systems architecture has evolved over the past 5 years to cater changes, as well as what's coming next.
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Turbocharged Development: the Speed and Efficiency of WebAssembly
Danielle Lancashire discusses why Wasm is the most cross-platform unit of compute for serverless applications, and how that translates to efficiency at scale.
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From Smoothie Architecture to Layer Cake with Durable Execution
Sergey Bykov shows how Durable Execution of Temporal enables a transition and makes building scalable distributed applications qualitatively easier.
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Portfolio Analysis at Scale: Running Risk and Analytics on 15+ Million Portfolios Every Day
William Chen discusses the importance of trimming your computational graph, storing data in multiple formats, leveraging open source, and considering multiple dimensions of modularization.
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