InfoQ Homepage Platform Engineering Content on InfoQ
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Move Fast, Don’t Break Trust: Shipping Constantly with Humans and Beyond
Suhail Patel explains how Monzo built a paved platform stack, opinionated tooling, and fast CI checks to help engineers and AI agents ship microservices safely and continuously at scale.
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The Reinvention of the Dev Team
Hannah Foxwell explains how agentic AI reshapes dev teams, urging software leaders to rethink team structures, eliminate delivery friction, and focus on human-centric value and reliability.
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Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure
Matthew Liste shares 12 core principles for building resilient, enterprise-scale platforms. Learn how to balance velocity, reduce technical debt, and build systems engineering teams rely on.
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Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani explain how DoorDash built and scaled an enterprise GenAI platform, revealing key architectural bets, pivots, and operational principles driving real business impact.
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APIs for Agents: Rethinking API Programs in the MCP Era
Jim Gough and Andreea Niculcea explain how Morgan Stanley leverages Architecture as Code with CALM and MCP to scale secure, compliant API platforms for AI agents and future protocols like A2A.
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Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server
Felipe Huici discusses scaling microVM sandboxes for AI workloads, explaining how millisecond cold boots, high density, and stateful scale-to-zero achieve efficient, secure cloud isolation.
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Platform Engineering in the Age of AI
The panelists discuss how internal developer platforms adapt for AI-assisted engineering, balancing standardization, guardrails, and developer autonomy to shape next-gen platform engineering.
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Continuous Delivery for Foundational Platforms
Ian Nowland explains why standard CI/CD models fail for foundational platforms, sharing lessons from AWS and Datadog on how engineering leaders can implement safe progressive deployments.
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Prompt to Prod: Engineering an Autonomous SDLC at Scale
Andrew Swerdlow shares how Roblox transitions from AI autocomplete to fully autonomous software development with "Prompt to Prod," covering safety guardrails, infrastructure, and metrics.
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SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira shares how DoorDash built a scalable AI moderation platform. Learn how combining cheap classifiers with LLM scoring reduced incidents and cut latency in real-time chat.
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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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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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