InfoQ Homepage DevOps Content on InfoQ
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When Incidents Refuse to End
Vanessa Huerta Granda discusses how long-running incidents reveal critical technical realities, organizational fragility, and human dynamics, offering strategies for long-term resilience.
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How to Run on Three Clouds at Once, and When Not to
Ross McFarlane and Kevin Holditch explain how Form3 engineered a triple active multi-cloud architecture across AWS, GCP, and Azure to deliver ultra-resilient, regulatory-compliant payment systems.
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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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Can Claude Fix Itself? Using LLMs for Incident Response
Anthropic's Alex Palcuie shares how LLMs transform incident response, highlighting where Claude excels at log analysis and why automated AI SREs still can't replace human judgment.
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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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Enchant Your AI and APIs with eBPF Magic 🪄
Dan Finneran explains how to use eBPF and AI gateways in Kubernetes to transparently observe, modify, and control unowned AI agent API calls without altering source code.
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Why Fetch When You Can Sync? Building Local-First Apps on a Sync Engine Architecture
James Arthur explains how extending reactivity to the server via Electric and TanStack DB replaces manual data fetching with real-time sync for high-performance, agentic web applications.
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Understanding Progressive Collapse: How To Avoid A Cascading Failure
Sam Newman explains how to apply civil engineering’s concept of progressive collapse to digital systems, sharing actionable techniques to mitigate cascading failures in complex cloud architecture.
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The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
Baruch Sadogursky and Patrick Debois explain context engineering antipatterns in coding agents, demonstrating how skills, right-tool retrieval, and external memory optimize developer workflows.
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