InfoQ Homepage InfoQ Dev Summit Content on InfoQ
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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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Theme Systems at Scale: How to Build Highly Customizable Software
Guilherme Carreiro explains how Shopify scales a customizable theme system to 60M requests per minute. Learn about Liquid DSL constraints, native extensions, and bridging technical/non-technical gaps.
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No QA Environment? No Problem: How Classpass Enables Testing on a Single Environment in ECS
Po Linn Chia explains how ClassPass eliminated environment contention using ECS, Traefik, and OpenTelemetry baggage to enable scalable, ephemeral testing without a dedicated QA environment.
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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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Thinking Like a Detective: Solving Cloud Infrastructure Mysteries
Brendan McLoughlin discusses a "cloud mystery" methodology for debugging complex systems. He explains how to use HTTP status codes and request flow diagrams to track down elusive infrastructure bugs.
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Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads
Bruno Borges explains how to automate SLO breach diagnostics using SRE agents and MCP tools. He shares methodologies for identifying bottlenecks and balancing speed, cost, and reliability.
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DevOps Is for Product Engineers, Too
Lesley Cordero explains how DevOps and platform engineering drive sociotechnical excellence. She shares strategies for joint optimization, distributed leadership, and organizational sustainability.
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Powering Enterprise AI Applications with Data and Open Source Software
Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.
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Architecting Planet Scale, Modern Apps in the Cloud
George Mao discusses the five stages of maturity for building a planet-scale, global, and highly available architecture using fully serverless, cloud-native services (GCP/AWS).
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Empathy Driven Platforms: You Build It, Let’s Run It Together
Erin Doyle shares the "ultimate attack" for conquering engineering roadblocks: building Empathy-Driven Platforms. Learn how to bridge the Platform/Product Dev divide and boost productivity.
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AI-Driven Software Delivery: Leveraging Lean, ChOP & LLMs to Create More Effective Learning Experiences at QCon
Wes Reisz details building a RAG-powered QCon certification in 4 weeks. He dives into the serverless pipeline, RAG architecture, lessons on using supervised coding agents, and Lean thinking.
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Growing and Cultivating Strong Machine Learning Engineers
Vivek Gupta explains how to nourish and cultivate Machine Learning engineers, detailing the unique production-ML skills required for scaling, governance, and LLMOps.
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