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Google Introduces Managed Connection Pooling for AlloyDB
Google Cloud has launched managed connection pooling for AlloyDB for PostgreSQL, boosting client connections by 3x and transactional throughput by up to 5x. This feature simplifies database management by automating connection management and reducing latency.
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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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Docker Kanvas Challenges Helm and Kustomize for Kubernetes Dominance
Docker has launched Kanvas, a new platform designed to bridge the gap between local development and cloud production. By automating the conversion of Docker Compose files into Kubernetes artefacts, the tool challenges established solutions like Helm and Kustomize. Developed with Layer5, it marks a shift toward Infrastructure as Code, offering visualisations to simplify cloud-native deployments.
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AWS and Google Cloud Preview Secure Multicloud Networking
In a surprising move, AWS and Google Cloud have recently partnered to simplify multicloud networking, introducing a common standard and leveraging "AWS Interconnect - Multicloud" and "Google Cloud's Cross-Cloud Interconnect". The new option makes it easier for organizations to manage and secure workloads across both clouds, with Azure expected to join in 2026.
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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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AlphaEvolve Enters Google Cloud as an Agentic System for Algorithm Optimization
Google Cloud announced the private preview of AlphaEvolve, a Gemini-powered coding agent designed to discover and optimize algorithms for complex engineering and scientific problems. The system is now available through an early access program on Google Cloud, targeting use cases where traditional brute-force or manual optimization methods struggle due to vast search spaces.
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Google Cloud Demonstrates Massive Kubernetes Scale with 130,000-Node GKE Cluster
The team behind Google Kubernetes Engine (GKE) revealed that they successfully built and operated a Kubernetes cluster with 130,000 nodes, making it the largest publicly disclosed Kubernetes cluster to date.
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Google Cloud Introduces Bigtable Tiered Storage
Google Cloud recently introduced the preview of Bigtable tiered storage. The new feature allows developers to manage both hot and cold data within a single Bigtable instance, optimizing costs while maintaining access to all data.
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Google Cloud KMS Launches Post-Quantum KEM Support to Combat "Harvest Now, Decrypt Later" Threat
Google Cloud's Key Management Service now supports post-quantum Key Encapsulation Mechanisms (KEMs), addressing future threats from quantum computing. This update empowers organizations to prepare against "Harvest Now, Decrypt Later" attacks while ensuring long-term data confidentiality.
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Google Cloud Outlines Key Strategies for Securing Remote MCP Servers
Google Cloud published a guide that lays out strategies for securing remote Model Context Protocol (MCP) server deployments, particularly in contexts where AI systems depend on external tools, databases, and APIs.
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Google Introduces LLM-Evalkit to Bring Order and Metrics to Prompt Engineering
Google has introduced LLM-Evalkit, an open-source framework built on Vertex AI SDKs, designed to make prompt engineering for large language models less chaotic and more measurable. The lightweight tool aims to replace scattered documents and guess-based iteration with a unified, data-driven workflow.
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Terraform Google Cloud Provider 7.0 Reaches General Availability
HashiCorp has released version 7.0 of the Terraform provider for Google Cloud, introducing security-focused improvements such as ephemeral resources, write-only attributes, and stricter validation. The update enhances secret handling and reliability but introduces breaking changes requiring careful migration.
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Google Cloud Observability Adopts OpenTelemetry Protocol for Native Trace Ingestion
Google Cloud has announced native support for the OpenTelemetry Protocol (OTLP) in its Cloud Trace service, marking a significant step toward vendor-neutral observability infrastructure. The new capability allows developers to send trace data directly using OTLP through the telemetry.googleapis.com endpoint, eliminating the need for vendor-specific exporters and custom data transformations.
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Google Cloud Run Now Offers Serverless GPUs for AI and Batch Processing
Google Cloud has launched NVIDIA GPU support for Cloud Run, enhancing its serverless platform with scalable, cost-efficient GPU resources. This upgrade enables rapid AI inference and batch processing, featuring pay-per-second billing and automatic scaling to zero. Developers can access seamless GPU support easily, making advanced AI applications faster and more accessible.
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Google Cloud Enhances AI/ML Workflows with Hierarchical Namespace in Cloud Storage
On March 17, 2025, Google Cloud introduced a hierarchical namespace (HNS) feature in Cloud Storage, aiming to optimize AI and machine learning (ML) workloads by improving data organization, performance, and reliability.