InfoQ Homepage Architecture Content on InfoQ
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Security and Architecture: to Betray One is to Destroy Both
Shana Dacres-Lawrence discusses the "betrayals" between security and architecture. She explains how delivery pressure and assumed trust lead to failures and shares five strategies for a lasting union.
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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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Platform Engineering as a Practice of Sociotechnical Excellence
Lesley Cordero explains how platform engineering serves as a sociotechnical solution for scaling orgs. She shares strategies for joint optimization, communal learning, and distributed leadership.
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Four Patterns of AI Native Development
Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.
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Platforms for Secure API Connectivity with Architecture as Code
Jim Gough explains how "Architecture as Code" and the CALM model bridge the gap between developers and infrastructure, sharing patterns to automate security reviews and accelerate API deployment.
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The Ideal Micro-Frontends Platform
Luca Mezzalira discusses the evolution of micro-frontends, explaining how to scale engineering teams through technical decentralization, business subdomain boundaries, and organizational autonomy.
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Scaling to 100+ as a Director: Lessons from Growing Engineering Organizations
Thiago Ghisi shares his journey scaling engineering orgs to 100+ people. He explains how to establish operational cadence, manage highs and lows, and use reorgs as a feature to drive execution.
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Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya explains how Netflix unifies search and recommendations using the "UniCoRn" model and leverages Transformer-based foundation models to personalize the experience for 300M+ users.
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Java Concurrency from the Trenches: Lessons Learned in the Wild
Hugo Marques shares architectural lessons from scaling Java concurrency at Netflix, exploring the trade-offs between parallel streams, CompletableFutures, and the impact of Virtual Threads on IO.
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Fast Eventual Consistency: inside Corrosion, the Distributed System Powering Fly.io
Somtochi Onyekwere discusses Corrosion, Fly.io's eventual consistent service discovery tool. She explains how the networking team leverages SQLite and CRDTs to replicate data across 800+ nodes.
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From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix
Naveen Mareddy and Sujana Sooreddy explain how Netflix monitors massive media encoding workflows. They discuss scaling to 1M+ trace spans and using Flink to unlock real-time business insights.
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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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