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Latest articles from InfoQ• Updated 17 minutes ago
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. By Steef-Jan Wiggers
Article: Architecture in a Flow of AI-Augmented Change
While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change. By Jonathan McPhail, Juan Medina, Jake DeCrane, Isuru Wijesundara
QCon AI New York 2025: Moving Mountains: Migrating Legacy Code in Weeks Instead of Years
David Stein, Principal AI Engineer at ServiceTitan, presented “Moving Mountains: Migrating Legacy Code in Weeks instead of Years” at QCon AI New York 2025. Stein demonstrated how migrations don’t have to be synonymous to “moving mountains” and introduced the concepts of the Principle of Acceleration and the Assembly Line Pattern. By Michael Redlich
OpenAI at QCon AI NYC: Fine Tuning the Enterprise
At QCon AI NYC 2025, Will Hang from OpenAI unveiled Agent RFT—a cutting-edge reinforcement fine-tuning approach for tool-using agents. By optimizing prompts and tasks before model adjustments, Hang showcased effective strategies to enhance decision-making and efficiency, emphasizing a balanced grading system. The session revealed a future where smarter agents reduce latency and improve outcomes. By Andrew Hoblitzell
Presentation: Scaling Cloud and Distributed Applications: Lessons and Strategies From chase.com, #1 Banking Portal in the US
Durai Arasan explains the architectural strategies used to scale Chase.com to 67M+ active users. He discusses achieving high resilience through multi-region isolation, slashing latency by 71% via edge computing, and utilizing automated "infrastructure repaving" to eliminate security drift. He shares vital lessons on self-healing observability and building an engineering-first culture. By Durai Arasan
AWS Debuts “DevOps Agent” to Automate Incident Response and Improve System Reliability
AWS recently announced the public preview of AWS DevOps Agent, a new "frontier agent" that aims to help organizations react more quickly to production incidents, identify root causes, and proactively strengthen system reliability. By Craig Risi
Visual Studio 2026 Released with AI-Native IDE and Performance Boost
Microsoft has officially launched Visual Studio 2026 (version 18), marking what they call the first ‘AI‑native’ release of its flagship integrated development environment. The general availability rollout follows extensive validation via the Insiders channel and reflects a blend of performance optimisations, deep GitHub Copilot integration, and tooling updates across core languages and workloads. By Edin Kapić
Article: NextGen Search - Where AI Meets OpenSearch Through MCP
In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP). By Srikanth Daggumalli, Arun Lakshmanan
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. By Mark Silvester
Top posts from tech subreddits• Updated 41 minutes ago
Nadella's message to Microsoft execs: Get on board with the AI grind or get out
[D] AISTATS is Desk-Rejecting Papers Where Authors Accessed Reviewer Identities via the OpenReview Bug
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