InfoQ Homepage Case Study Content on InfoQ
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Accelerating Netflix Data: a Cross-Team Journey from Offline to Online
Raj Ummadisetty and Ken Kurzweil explain how Netflix transitioned its key-value abstraction from stateless to stateful, reducing data deployment time by 90% and infrastructure costs by 70%.
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Building and Scaling UI Systems for Internal Tools at Meta
Meta frontend engineer Cindy Zhang explains how a lean team scaled an internal UI design system to over 10,000 tools, sharing technical strategies for monorepo codemods and community intake.
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Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin
LinkedIn’s Karthik Ramgopal and Prince Valluri explain how to scale engineering with agentic AI. They discuss building centralized platform foundations for orchestration, tooling, and context.
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Theme Systems at Scale: How to Build Highly Customizable Software
Shopify Staff Engineer Guilherme Carreiro explains how to scale highly customizable software platforms. He shares architectural strategies for balancing deep design flexibility with peak performance.
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Realtime and Batch Processing of GPU Workloads
Joseph Stein explains how to build a highly available private AI cloud. He shares blueprints on scaling vLLM on enterprise GPUs, implementing gateway guardrails, and optimizing batch workloads.
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Evolution of a Backend for a Streaming Application
Daniele Frasca shares how to scale streaming apps for millions of users using serverless patterns. Learn to eliminate single points of failure, improve data consistency, and master multi-region.
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How Netflix Shapes our Fleet for Efficiency and Reliability
Joseph Lynch and Argha C. discuss how Netflix balances hardware supply and software demand. They explain techniques like risk-adjusted net value, buffer management, and priority-based load shedding.
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Building a Future-Proof Observability Platform to Empower Engineers
Wayne Bell and Dan Gomez Blanco explain how Skyscanner transitioned from siloed telemetry to a unified OpenTelemetry standard, treating their internal platform as a product to drive adoption.
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Platform Engineering: Lessons from the Rise and Fall of eBay Velocity
Randy Shoup shares how eBay doubled engineering productivity but failed to pivot the business. He explains the technical wins of the Velocity Initiative and the cultural hurdles that remained.
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When Every Bit Counts: How Valkey Rebuilt Its Hashtable for Modern Hardware
Madelyn Olson explains how Valkey optimized its core hash table to reduce memory overhead by 20% while maintaining the high-throughput performance and backward compatibility Redis users expect.
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Duolingo's Kubernetes Leap
Franka Passing explains Duolingo's migration from AWS ECS to EKS, discussing how they built a foundation with Argo CD and Karpenter to enable blue-green deployments for 128M+ active users.
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Data Mesh in Action: a Journey from Ideation to Implementation
Anurag Kale explains how to solve brittle ETL pipelines using Data Mesh. He shares an approach to decentralizing data ownership, treating data as a product, and building self-serve platforms.
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