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Fri, November 21, 2025

Building the Largest Known GKE Cluster: 130,000 Nodes

🚀 Google Cloud engineers demonstrated an experimental GKE cluster running 130,000 nodes to validate extreme scalability for AI/ML workloads. The test sustained control-plane throughput near 1,000 operations per second, supported over one million datastore objects, and achieved a baseline of 130,000 Pods launching in 3 minutes 40 seconds. The project combined API-server caching KEPs, a Spanner-backed key-value storage backend, and job-level orchestration via Kueue to enable predictable admission, rapid preemption, and efficient utilization at massive scale.

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Fri, November 21, 2025

Google: Leader in 2025 Gartner Magic Quadrant for CDBMS

📈 Google announces it was named a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the sixth consecutive year and positioned furthest in vision. The post presents the company's AI-native Data Cloud—a unified stack integrating BigQuery, Spanner, AlloyDB, Looker, and Dataplex—to support agentic AI. Google highlights embedded specialized agents, developer tooling (Data Agents API, ADK, Gemini CLI) and Agent Analytics in BigQuery to accelerate AI-driven applications while asserting cost and governance benefits on a single, open platform.

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Mon, November 3, 2025

Mercado Libre's Spanner-Based Platform for Scale and AI

🚀 Mercado Libre leverages Spanner as the core of a developer-facing platform, exposing consistent, globally-scalable transactions through its internal gateway, Fury. Fury abstracts distributed database complexity and serves both relational and key-value workloads. Integration with BigQuery via Data Boost and Change Streams enables near-real-time analytics and reverse ETL to operational systems.

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Mon, September 29, 2025

Google Cloud Customers: Monthly Innovations Roundup

🚀 This roundup highlights how leading organizations are using Google Cloud to optimize networks, accelerate AI, and scale mission-critical services. From Uber reducing edge latency with Hybrid NEGs to Target rebuilding search with AlloyDB AI hybrid search, customers report measurable gains in performance, cost, and reliability. Healthcare, finance, media, and telecommunications teams also describe operational wins — faster inference, seamless migrations, and stronger real-time experiences.

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