InfoQ Homepage Architecture & Design Content on InfoQ
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QCon London 2026: from DVDs to Global Streaming How Netflix’s Commerce Architecture Actually Evolved
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
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QCon London 2026: Managing Asynchronous APIs at Scale
At QCon London 2026, Ian Cooper, senior principal engineer at Just Eat Takeaway, discussed managing asynchronous APIs in production, showing how endpoint definitions can drive code generation, schema registration, and the automation of messaging infrastructure.
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QCon London 2026: Your Multi-Cloud Strategy Is a Product Problem — Treat It Like One
JP Morgan Chase engineers Luis Albinati and Surabhi Mahajan argued that multi-cloud complexity can't be solved with engineering alone. Speaking at QCon London, they showed how treating multi-cloud as a product with capability mapping, demand governance, and defined users tames the chaos.
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QCon London 2026: Behind Booking.com's AI Evolution: the Unpolished Story
Jabez Eliezer Manuel, senior principal engineer at Booking.com, presented “Behind Booking.com's AI Evolution: the Unpolished Story” at QCon London 2026. Manuel discussed how Booking.com has evolved over the past 20 years and the challenges they faced on their journey to incorporate AI.
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QCon London 2026: How to Run on Three Clouds at Once, and When Not to
Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud.
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DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.
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Devnexus 2026: Focus on AI with Core Java, Java Frameworks, Security and Career Mentoring
Celebrating its 23rd year, Devnexus 2026 was held from March 4-6, 2026, at the Georgia World Congress Center in Atlanta, Georgia. The event featured speakers from the Java community who delivered workshops and talks under tracks such as: AI Generative; AI in Practice; Core Java; Java Frameworks; and Security and Developer Tools.
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Java News Roundup: JHipster 9.0, Project Valhalla, Spring, Helidon, OpenXava, Java Operator SDK
This week's Java roundup for March 9th, 2026, features news highlighting: the GA release of JHipster 9.0; Build 27-jep401ea of Project Valhalla; point releases of Spring Tools, Helidon, OpenXava and Java Operator SDK; a maintenance release of Spring Framework; the beta release of the March 2026 edition of Open Liberty; and milestone releases of Micrometer Metrics and Micrometer Tracing.
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AWS Launches Managed Openclaw on Lightsail amid Critical Security Vulnerabilities
AWS launched managed OpenClaw on Lightsail for AI agent deployment while security concerns mount. The 250k-star GitHub project is affected by CVE-2026-25253, which enables one-click RCE, with 17,500+ vulnerable instances exposed. Bitdefender found 20% of ClawHub skills malicious. AWS blueprint provides automated hardening, but doesn't address architectural security limits.
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Elastic Releases Version 9.3.0 with Enhanced AI Tools and OTel Support
Elastic 9.3.0 is now available, featuring enhanced vector search indexing for RAG applications and significant upgrades to the ES|QL query language. The release deepens OpenTelemetry integration for vendor-neutral observability and updates the AI Assistant with better contextual analysis. Security visibility is also expanded across Kubernetes and serverless architectures.
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How Grab Optimizes Image Caching on Android with Time-Aware LRU
To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim storage more effectively without degrading user experience or increasing server costs.
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DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale
DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.
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Advance Your Socio-Technical Architecture Skills with InfoQ’s New Online Cohorts
Enhance your architectural leadership with InfoQ’s new online cohorts starting April 15, May 7, and June 10, 2026. Led by Luca Mezzalira, this 5-week program focuses on socio-technical skills like ADRs, platform engineering, and AI trade-offs. Senior practitioners can apply frameworks to live projects, earn ICSAET certification, and contribute to the InfoQ community.
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Claude Opus 4.6 Introduces Adaptive Reasoning and Context Compaction for Long-Running Agents
Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle retrieval accuracy. While leading benchmarks in agentic coding, independent tests show a 49% detection rate for binary backdoors, highlighting the gap between SOTA claims and production security.
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From Minutes to Seconds: Uber Boosts MySQL Cluster Uptime with Consensus Architecture
Uber redesigned its MySQL fleet using a consensus-driven architecture based on MySQL Group Replication, reducing cluster failover time from minutes to seconds. By moving leader election and failure detection into the database layer, Uber improved availability, simplified external orchestration, and strengthened consistency across thousands of production clusters.