InfoQ Homepage Architecture & Design Content on InfoQ
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Microsoft Announces Azure Linux 4.0, Its First General-Purpose Server Linux Distribution
Microsoft announced Azure Linux 4.0 and Azure Container Linux at Open Source Summit. Azure Linux 4.0 is a Fedora-based general-purpose server distribution for Azure VMs, the first time Microsoft has offered a supported Linux beyond container hosting. Azure Container Linux is an immutable container-optimized host built on Flatcar.
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How LinkedIn Identified a Kernel Lock Contention Issue Causing Recurring System Freezes
When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recovered without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF.
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Azure Logic Apps Adds Sandboxed Code Interpreters to Agent Workflows
Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic Apps as an agent platform for integration alongside Foundry and Copilot Studio.
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InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohorts
InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions.
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TamboUI Promises to Bring Better Capabilities to Build TUIs in Java
The call to action “to make 2026 the year of Java in the terminal” was quickly responded to by the launch of TamboUI. Inspired by Ratatui, the library used in Claude CLI, it promises support ranging from low-level terminal drawing to high-level APIs such as components and event handling. Currently at version 0.3.0, it has already been adopted by major projects such as Maven and Spring.
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Java News Roundup: WildFly, Micronaut, Spring AI, Apache Fory, GlassFish Plugin, Open Liberty
This week's Java roundup for May 18th, 2026, features news highlighting: GA releases of WildFly 40, Micronaut 5.0, Maven Embedded GlassFish Plugin 8.0 and Apache Fory 1.0; the May 2026 edition of Open Liberty; point releases of Gatherers4j, Apache and Kafka; and the seventh milestone release of Spring AI 2.0.
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OpenJDK News Roundup: Vector API, Compact Object Headers and G1GC as Default in JDK 27
There was a flurry of activity in the OpenJDK ecosystem during the week of May 18th, 2026, highlighting three JEPs elevated from Proposed to Target to Targeted and three JEPs elevated from Candidate to Proposed to Target for JDK 27. The proposed release schedule has also been finalized.
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AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance
AWS has recently made its managed Model Context Protocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation, and operational workflows through a standard interface. It provides a safer and more auditable way to connect AI agents to AWS services without handing over broad credentials.
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Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery
At the Apache Iceberg Summit last month, Google announced new interoperability features for Apache Iceberg in BigQuery. The preview of the serverless Iceberg REST catalog lets teams create, update, and query the same Apache Iceberg tables in BigQuery and in engines like Spark, Flink, and Trino without duplicating data.
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Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking
Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted features to transformer-based sequence modeling, reduces feature freshness from 24 hours to seconds, and shifts from pointwise scoring to listwise GenRec for improved contextual ranking and real-time personalization.
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Cloudflare Completes Its Agent Infrastructure Stack with Browser Run Rebuild and Six-Layer Platform
Cloudflare rebuilt Browser Run on its own Containers platform, delivering 4x higher concurrency and 50% faster response times. The upgrade completes a six-layer agent infrastructure stack: compute (Dynamic Workers + Sandboxes), orchestration (Dynamic Workflows), memory (Agent Memory), browsing (Browser Run), and commerce (Stripe Projects).
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Designing a Multi-Agent System for Engineering Support at Scale: a Case Study from Grab
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
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OpenAI Outlines WebRTC Architecture for Low-Latency Voice AI at Scale
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using relays to reduce public UDP exposure and keep media routing close to users.
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Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
Agoda unifies hotel images and guest reviews using a shared topic taxonomy, enabling multimodal retrieval across 700M+ images and multilingual reviews with offline enrichment and low-latency serving.
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Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for improved relevance. It replaces heuristic ranking while maintaining strict latency constraints and enabling continuous model updates from user behavior signals.