InfoQ Homepage Architecture & Design Content on InfoQ
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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.
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Java News Roundup: OpenJDK JEPs, Azul Payara, WildFly, LangChain4j, OpenXava, Google ADK
This week's Java roundup for May 11th, 2026, features news highlighting: three OpenJDK JEPs targeted for JDK 27; introducting Azul Payara Community and the WildFly wado CLI tool; point releases of LangChain4j and Google ADK; and maintenance releases of Micronaut and OpenXava.
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Neobank Monzo Builds Governed Data Mesh across 100 Teams and 12000 dbt Models
Monzo recently redesigned its data warehouse to support more than 100 teams working on over 12000 dbt models. Introducing a so-called "meshy" approach, Monzo cut warehouse costs by about 40% and improved data delivery speed by 25%.
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Cloudflare Introduces Workflows V2 with Deterministic Execution and 50K Concurrent Workflows
Cloudflare introduces Workflows V2, a redesigned distributed workflow orchestration system with deterministic replayable execution, improved observability, and major scaling upgrades, including 50,000 concurrent instances and 2M queued workflows. It supports AI agents, data pipelines, and background processing with improved reliability across distributed systems.
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Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks
Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.
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Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features
Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.