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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: 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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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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Google Enhances Node Pool Auto-Creation Speed for GKE Clusters
Google Cloud has optimised GKE's node pool auto-creation, significantly cutting "Time to Ready" for massive clusters. By improving control plane communication and request batching, GKE now provisions resources faster, rivalling tools like Karpenter. The update enhances scaling reliability and stability for high-volume AI and batch workloads, automatically rolling out across supported versions.
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Firestore Adds Pipeline Operations with over 100 New Query Features
Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an optional indexing model, allowing architects to prioritize write speed and lower costs. While it brings parity with MongoDB-style aggregations, the preview currently lacks real-time and emulator support.
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Google Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration!
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Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
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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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Arm Launches AI-Powered Copilot Assistant to Migrate Workflows to Arm Cloud Compute
At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.
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New DNS Armor Service Helps Google Cloud Workloads Preemptively Block Cyber Threats
Google Cloud's DNS Armor, in partnership with Infoblox, offers a vital layer of security against DNS-based threats for Google Cloud workloads. Utilizing advanced threat detection and machine learning, it identifies and mitigates risks like malware and data exfiltration, ensuring robust protection without impacting performance. Deployable as a managed service providing seamless control for users.
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Google Spanner Unifies OLTP and OLAP with Columnar Engine
Google Spanner now features a columnar engine, allowing its distributed database to handle both OLTP and OLAP workloads on a single platform. This hybrid architecture eliminates the need for separate data warehouses and ETL pipelines. The engine's columnar storage and vectorized execution accelerate analytical queries up to 200x on live data, which is especially beneficial for AI applications.
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Google Cloud Unveils New Data Security Posture Management Offering in Preview
Google Cloud unveils its new Data Security Posture Management (DSPM) offering, enhancing data governance, privacy, and compliance. This innovative solution provides visibility into sensitive data, helping organizations identify risks and enforce controls. With advanced features integrated into the Security Command Center, it addresses the evolving challenges of cloud data security.
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Google Cloud Launches 'Cloud Setup' to Streamline Foundational Infrastructure
Google Cloud has launched Google Cloud Setup, a streamlined service for creating secure, best-practice cloud environments. Offering guided workflows for various needs—proof-of-concept, production, and enhanced security—this tool reduces manual efforts, enabling rapid application deployment in minutes, not days. Enjoy hassle-free configuration with built-in best practices and cost-effective access.
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Google Apigee Adds Built-in LLM Governance with Model Armor
Google Cloud has launched the public preview of Model Armor, a native LLM governance framework integrated into the Apigee API management platform. Detailed in a community post, Model Armor introduces out-of-the-box enforcement for LLM-specific policies such as prompt validation, output filtering, and token-level controls at the API layer.
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Google Unveils Ironwood TPU for AI Inference
Google's Ironwood TPU, its most advanced custom AI accelerator, powers the "age of inference" with unmatched performance and scalability. With up to 9,216 liquid-cooled chips, it outpaces competitors, delivering 42.5 Exaflops. Engineered for high-efficiency, low-latency AI tasks, Ironwood redefines potential in AI hardware, leveraging AlphaChip to revolutionize chip design.