InfoQ Homepage Architecture & Design Content on InfoQ
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Cloudflare Open Sources tokio‑quiche, Promising Easier QUIC and HTTP/3 in Rust
Cloudflare has open-sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle-tested quiche implementation with the Tokio runtime to simplify the development of high-performance QUIC applications. The library was used internally to back the edge services, the Oxy HTTP proxies or MASQUE-based tunnels replacing the Wireguard-based tunnels in the WARP client.
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Uber Adopts Amazon OpenSearch for Semantic Search to Better Capture User Intent
To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition introduced several infrastructure challenges, which Uber engineers addressed with targeted solutions.
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Benchmarking beyond the Application Layer: How Uber Evaluates Infrastructure Changes and Cloud Skus
Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing across servers, workloads, and cloud SKUs, helping teams validate changes, identify regressions, and optimize resources. Future plans include AI integration, anomaly detection, and continuous validation.
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Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments
Spotify has introduced the Experiments with Learning (EwL) metric on top of its Confidence experimentation platform to measure how many tests deliver decision-ready insights, not just how many “win.” EwL captures both the quantity and quality of learning across product teams, helping them make faster, smarter product decisions at scale. The outcome must support one action: ship, abort, or iterate.
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QCon AI NY 2025 - Becoming AI-Native without Losing our Minds to Architectural Amnesia
Tracy Bannon's QCon AI NY 2025 talk revealed how the rise of AI agents risks amplifying common architectural failures. She emphasized the distinctions between bots, assistants, and agents, highlighting the need for governance, clear identity controls, and disciplined decision-making to address “agentic debt.” Bannon called for architects to apply foundational principles amid rapid AI adoption.
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AWS and Google Cloud Preview Secure Multicloud Networking
In a surprising move, AWS and Google Cloud have recently partnered to simplify multicloud networking, introducing a common standard and leveraging "AWS Interconnect - Multicloud" and "Google Cloud's Cross-Cloud Interconnect". The new option makes it easier for organizations to manage and secure workloads across both clouds, with Azure expected to join in 2026.
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Python Workers Redux: Wasm Snapshots and Native uv Tooling
Cloudflare's latest advancements in Python Workers revolutionize serverless performance with near-instant cold starts, expanded package compatibility, and streamlined workflows via the uv package manager. By leveraging memory snapshots and WebAssembly, Cloudflare drastically reduces startup times, making Python a prime choice for AI and data science applications.
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Uber Migrates Eats Catalog to Apache Pinot for Near-Real-Time Olap at 10B+ Row Scale
Uber has migrated its Eats Catalog (INCA) to Apache Pinot, replacing a legacy Hive-based system. This move reduced data freshness latency from hours to minutes and query response times to 1-3 seconds for a 10B+ row dataset. By using Pinot as a real-time indexing layer for its Docstore database, Uber contributed several optimizations back to the OSS project, including a Small Segment Merger.
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Target Improves Add to Cart Interactions by 11 Percent with Generative AI Recommendations
Target has deployed GRAM, a GenAI-powered accessory recommendation system for the Home category, using large language models to prioritize product attributes and capture aesthetic cohesion. The system helps shoppers find compatible accessories, integrates human-in-the-loop curation, and achieved measurable improvements in engagement and conversion.
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Java News Roundup: GlassFish, TornadoVM, Spring Shell, WildFly, Hibernate, Kotlin
This week's Java roundup for December 15th, 2025, features news highlighting: the fifteenth milestone release of GlassFish 8.0; the first release candidate of Spring Shell 4.0; point releases of TornadoVM, Hibernate Reactive, Hibernate Search and Kotlin; the first beta release of WildFly 39; and maintenance releases of Micronaut Helidon and Vert.x.
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AWS Expands Well-Architected Framework with Responsible AI and Updated ML and Generative AI Lenses
At AWS re:Invent 2025, AWS expanded its Well-Architected Framework with a new Responsible AI Lens and updated Machine Learning and Generative AI Lenses. The updates provide guidance on governance, bias mitigation, scalable ML workflows, and trustworthy AI system design across the full AI lifecycle.
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InfoQ Announces January Online Architect Cohort Focused on Socio-Technical Leadership
InfoQ announces the January 2026 intake for its Certified Architect Program. Facilitated by Luca Mezzalira, this 5-week online cohort focuses on socio-technical leadership, helping senior architects bridge the gap between technical design and organizational influence. Participants engage in weekly applied learning and peer collaboration to earn the ICSAET certification.
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Google Cloud Launches Managed MCP Support
Google Cloud's introduction of fully-managed Model Context Protocol (MCP) servers revolutionizes its API infrastructure, streamlining access for developers. This enterprise-ready solution enhances AI integration across services such as Google Maps and BigQuery while promoting wide-scale adoption. New tools ensure governance and security, and are currently in public preview.
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Netflix Migrates to Amazon Aurora: 75% Performance Boost and 28% Cost Reduction
Netflix consolidated its relational databases onto Amazon Aurora, cutting costs by 28% and boosting performance by up to 75%. The move from self-managed PostgreSQL reduced operational toil, improving latency for critical apps. This mirrors migrations by Samsung and Panasonic, though benchmarks suggest alternatives like Timescale may suit specific workloads better.
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TornadoVM 2.0 Brings Automatic GPU Acceleration and LLM Support to Java
The TornadoVM project recently reached version 2.0, a major milestone for the open-source project that aims to provide a heterogeneous hardware runtime for Java. The project automatically accelerates Java programs on multi-core CPUs, GPUs, and FPGAs. This release is likely to be of particular interest to teams developing LLM solutions on the JVM.