InfoQ Homepage InfoQ Dev Summit Content on InfoQ
-
Are We Ready for the Next Cyber Security Crisis Like Log4shell?
Soroosh Khodami shares a "horror story" on supply chain attacks. He explains how one Maven or npm command can gift hackers a reverse shell and shares critical strategies like SBOMs to defend teams.
/presentations/cyber-security-log4shell/en/mediumimage/Soroosh-Khodami-medium-1774441157934.jpeg)
-
Data Mesh in Action: a Journey from Ideation to Implementation
Anurag Kale explains how to solve brittle ETL pipelines using Data Mesh. He shares an approach to decentralizing data ownership, treating data as a product, and building self-serve platforms.
/presentations/data-mesh-horse-powertrain/en/mediumimage/anurag-kale-medium-1773151647473.jpg)
-
Image Processing for Automated Tests
Stefan Dirnstorfer explains the evolution of image-based test automation, comparing GenAI agents like Claude 3.5/4.5 with traditional computer vision for resilient, internal-free frontend testing.
/presentations/image-processing-automated-tests/en/mediumimage/stefan-dirnstorfer-medium-1773150417759.jpg)
-
Four Patterns of AI Native Development
Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.
/presentations/patterns-ai-native-development/en/mediumimage/patrick-debois-medium-1772011154073.jpg)
-
Busting AI Myths and Embracing Realities in Privacy & Security
Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
/presentations/ai-systems-privacy-security/en/mediumimage/katharine-jarmul-medium-1771412784942.jpeg)
-
AI Innovation in 2025 and beyond
Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.
/presentations/ai-innovation-2025/en/mediumimage/tejas-kumar-medium-1771407414338.jpg)
-
The Ideal Micro-Frontends Platform
Luca Mezzalira discusses the evolution of micro-frontends, explaining how to scale engineering teams through technical decentralization, business subdomain boundaries, and organizational autonomy.
/presentations/distributed-micro-frontends/en/mediumimage/luca-mezzalira-medium-1769525111295.jpeg)
-
Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov discusses the power of DataFrames in Java. He compares implementations like DataFrame-EC and Tablesaw against Python’s pandas, focusing on performance and memory efficiency.
/presentations/data-frames-java/en/mediumimage/vladimir-zakharov-medium-1769523745049.jpg)
-
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.
/presentations/patterns-organizational-change/en/mediumimage/thiago-ghisi-medium-1769523631580.jpg)
-
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.
/presentations/liquid-theme-system/en/mediumimage/guilherme-carreiro-medium-1768985255558.jpeg)
-
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.
/presentations/one-testing-environment/en/mediumimage/po-linn-chia-medium-1768379281165.jpg)
-
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.
/presentations/java-grpc-workload/en/mediumimage/hugo-medium-1767945193023.jpg)