InfoQ Homepage InfoQ Dev Summit Content on InfoQ
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You Are Asking the Wrong Questions (about Reliability and SRE)
David Blank-Edelman shares seven SRE-focused questions for reliability, challenging conventional wisdom on root cause analysis, toil elimination, and the true meaning of resilience.
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Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes
Ricardo Ferreira discusses five advanced Vector Sync Patterns to tackle multi-dimensional vector staleness & integration challenges in modern AI/microservices architectures.
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Why Observability Matters (More!) with AI Applications
Sally O'Malley shares how to build an AI observability stack with open-source tools (Prometheus, Grafana, OpenTelemetry, Tempo, vLLM/Llama Stack). Learn to track performance, quality and cost signals.
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Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains how systems thinking and Causal Flow Diagrams are tools to navigate the unintended consequences of increasingly complex multi-agent AI systems and ensure responsible AI.
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From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation
Christina Yakomin shares Vanguard's SRE journey: from monolithic releases to DevOps, coaching, request-rate autoscaling, and resiliency testing for AI-backed systems.
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Your Roadmap to a Fulfilling Career: the Pillars of Staff+ Growth
David Grizzanti shares a roadmap for senior software developers and architects, explaining how to navigate the staff-plus career path and find fulfillment beyond a title.
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Scaling an Embedded Database for the Cloud – Challenges and Trade-Offs
Stephanie Wang discusses the tradeoffs and lessons learned from building a cloud-native data warehouse by scaling an embedded database, going from an in-process system to one with cloud capabilities.
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Chatting with Your Knowledge Graph
Jonathan Lowe discusses how to enable an LLM to chat with a structured graph database. He explains the process of using semantic search and knowledge graphs to answer natural language questions.
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GenAI at Scale: What it Enables, What it Costs, and How to Reduce the Pain
Mark Kurtz discusses scaling GenAI and optimizing LLM deployments. He shares how to overcome technical and financial challenges using open-source tools like vLLM, LLM Compressor, and InstructLab.
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Test Smarter, Not Harder: Achieving Confidence in Complex Distributed Systems
Elias Nogueira explains how to build robust test suites for microservices by solving three common problems: testing with multiple databases, mocking dependencies, and managing asynchronous events.
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Orchestrating AI Services with the Spring AI Framework
Loiane Groner discusses Spring AI and how developers can build powerful, production-ready AI solutions in Java.
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Building an Internal Developer Portal that Empowers Developers
Travis Gosselin explains how internal developer portals combat productivity challenges and empower engineers by reducing friction and improving fulfillment.
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