InfoQ Homepage Case Study Content on InfoQ
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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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So You’ve Decided to Do a Technical Migration
Sophie Koonin explains how Monzo navigated a two-year migration from Flow to TypeScript. She shares strategies for gaining stakeholder buy-in, using automation, and managing incremental rollouts.
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How to Unlock Insights and Enable Discovery within Petabytes of Autonomous Driving Data
Kyra Mozley explains Perception 2.0, shifting from rigid CV pipelines to semantic embeddings. She shares how Wayve uses foundation models & vector search to solve the edge case "needle in a haystack."
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Lessons Learned from Building LinkedIn’s First Agent: Hiring Assistant
Karthik Ramgopal and Daniel Hewlett explain LinkedIn’s shift to agentic AI. They share how a modular supervisor-sub-agent architecture and a centralized skill registry power the new Hiring Assistant.
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Scaling Cloud and Distributed Applications: Lessons and Strategies from chase.com, #1 Banking Portal in the US
Durai Arasan shares how Chase.com achieved a 71% latency reduction. He explains strategies for efficient scaling, multi-region resilience, and automated "repaving" to secure large-scale systems.
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Developing Meta's Orion AR Glasses
Jinsong Yu (Meta) discusses the extreme engineering tradeoffs and architecture highlights (world-locked rendering, distributed compute, EMG input) of the 100g Orion AR glasses.
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