InfoQ Homepage Agile Content on InfoQ
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Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik explains how to cut AI inference costs by up to 90% by optimizing batch sizes, hardware selection, and request scheduling for high-volume, non-real-time workloads.
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Rewriting All of Spotify's Code Base, All the Time
Aleksandar Mitic and Jo Kelly-Fenton discuss how Spotify uses "Honk," a background AI coding agent, to automate codebase migrations at scale and tackle the ongoing maintenance problem.
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From ms to µs: OSS Valkey Architecture Patterns for Modern AI
Dumanshu Goyal explains how moving from proxied architectures to direct access in Redis/Valkey slashes tail latency to microseconds, lowers costs, and eliminates single points of failure.
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The Free-Lunch Guide to Idea Circularity
Holly Cummins explains how tech history rhymes, tracing tradeoffs from the Great Stink to cloud, AI hype cycles, and ZIRP, urging leaders to recycle old engineering disciplines for sustainability.
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Platform Engineering for Everyone - Success Can’t Be Coded
Max Korbacher shares why internal developer platforms fail and how engineering leaders can build successful, product-minded platforms by focusing on people and process over raw technology.
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The Rust High Performance Talk You Did Not Expect
Ruth Linehan discusses Momento’s 3-year migration from Kotlin to Rust, explaining how the borrow checker speeds up delivery velocity and why Rust lowers overall engineering costs in production.
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Road to Compliance: Will Your Internal Users Hate Your Platform Team?
Davide de Paolis shares how to scale internal compliance and platform engineering without breaking developer velocity, detailing automated feedback loops and "minimum viable governance" on AWS.
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Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix
Anirudh Mendiratta and Benjamin Fedorka explain how Netflix handles massive traffic storms using service-level prioritized load shedding and client-side attempt budgets to protect critical path APIs.
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Trustworthy Productivity: Securing AI-Accelerated Development
Sriram Madapusi Vasudevan explains how to secure autonomous AI agents, sharing enterprise patterns like provenance gates and sandboxed runtimes to defend the ReAct loop against rogue execution.
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Write-Ahead Intent Log: a Foundation for Efficient CDC at Scale
Vinay Chella and Akshat Goel explain why they outgrew traditional CDC at scale. They share how they built Write-Ahead Intent Log (WAIL) using a proxy layer to decouple data replication.
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Confidently Automating Changes across a Diverse Fleet
Netflix engineer Casey Bleifer explains how the company is automating fleet-wide code changes and migrations at scale, driving adoption timelines down from months to mere days with confidence.
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Architecting a Centralized Platform for Data Deletion at Netflix
Netflix Engineers Vidhya Arvind and Shawn Liu discuss the pillars of safe, large-scale data deletion. They explain strategies to eliminate data ghosts and manage tombstone resource contention.
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