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Google Cloud Announces Rapid Storage for Millisecond-Latency Workloads
At the recent Google Cloud Next 2025, the cloud provider announced Rapid Storage, a new Cloud Storage zonal bucket designed to deliver consistent single-digit millisecond data access for frequently accessed data and latency-sensitive applications. The new storage class provides under 1ms random read and write latency, 20x faster data access, and 6 TB/s of throughput.
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Google Cloud WAN Aims to Transform Enterprise Networking
Google has launched Cloud WAN, a robust managed WAN solution built on its global network, featuring 202 PoPs and 2M miles of fiber. It promises secure, high-performance connectivity at lower costs, addressing the complexities of modern enterprise needs. With faster speeds and significant TCO savings, Cloud WAN integrates seamlessly with existing providers.
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Google Cloud Announces Firestore with MongoDB Compatibility
During the recent Google Cloud Next 2025, the cloud provider announced the preview of Firestore with MongoDB compatibility. This new option provides MongoDB API and query language to store and query semi-structured JSON data in Google Cloud’s real-time document database.
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Gemini to Arrive On-Premises with Google Distributed Cloud
Google's Gemini models are set to revolutionize on-premises AI with their upcoming launch on Google Distributed Cloud (GDC) in Q3 2025. Partnering with NVIDIA, organizations can harness advanced AI while maintaining strict compliance and data residency. With flexible infrastructure and secure environments, Gemini enables real-time insights for data-driven decision-making across industries.
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Google Cloud Introduces Multi-Cluster Orchestrator for Cross-Region Kubernetes Workloads
Google Cloud has announced the launch of Multi-Cluster Orchestrator (MCO), a new solution designed to simplify the deployment and management of Kubernetes workloads across multiple clusters spanning different regions. The tool aims to address challenges organizations face when operating applications across geographically distributed environments.
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QCon London 2025: Distributed Event-Driven Architectures across Multi-Cloud Boundaries
At QCon London 2025, Teena Idnani from Microsoft addressed the rise of multi-cloud adoption, revealing that 89% of organizations embrace this strategy. Using the fictional FinBank, she showcased practical strategies to overcome latency, resilience, event ordering, and duplication challenges, emphasizing the importance of security, observability, and continuous team education.
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Optimize AI Workloads: Google Cloud’s Tips and Tricks
Google Cloud has announced a suite of new tools and features designed to help organizations reduce costs and improve efficiency of AI workloads across their cloud infrastructure. The announcement comes as enterprises increasingly seek ways to optimize spending on AI initiatives while maintaining performance and scalability.
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Google Cloud Announces Kubernetes History Inspector to Visualise Cluster Logs
Google Cloud has released a new open-source tool that visualises cluster logs chronologically to simplify troubleshooting in Kubernetes environments. Kubernetes History Inspector (KHI) is intended to help administrators to debug problems inside Kubernetes clusters and identify root causes.
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Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%
Google has recently introduced tiered storage for Spanner, its distributed SQL database on Google Cloud. This tiered storage is based on a new HDD storage option that is 80% cheaper than the existing SSD option, allowing for cost optimization of older data while minimizing the overhead associated with traditional data migration.
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Google Cloud's AI Protection: a Solution to Securing AI Assets
Google Cloud introduces AI Protection, a solution to safeguard against generative AI threats. Managing AI risks through vulnerability assessments, security policies, and proactive threat management enhances asset protection. Integrating with Google’s Security Command Center offers a centralized view of IT posture and advanced security intelligence for robust AI system defense.
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Google Cloud Launches Gen AI Toolbox for Databases
Google Cloud has announced the public beta launch of Gen AI Toolbox for Databases, an open-source server developed in collaboration with LangChain. This new tool is designed to help developers seamlessly integrate production-grade, agent-based generative AI applications with databases while ensuring secure access, scalability, and observability.
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Cloud Giants Collaborate on New Kubernetes Resource Management Tool
Google Cloud, AWS, and Microsoft Azure have jointly announced a new open-source project called Kube Resource Orchestrator (kro, pronounced "crow"). The project is an attempt to standardise how Kubernetes resources are grouped together and deployed, and it aims to make it easier for platform teams to deploy workloads.
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Google Cloud Introduces Quantum-Safe Digital Signatures in Cloud KMS to Future-Proof Data Security
Google has introduced quantum-safe digital signatures in its Cloud Key Management Service, adhering to NIST post-quantum cryptography standards. This vital update counters the imminent threats of quantum computing on traditional encryption methods, enabling organizations to integrate resilient, future-proof security measures seamlessly.
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Google Releases Spanner Graph into General Availability
Google Cloud's Spanner Graph is now generally available, featuring enhancements like Graph Notebook, GraphRAG integration, and advanced schema management. This unified database combines graph, relational, and AI capabilities, ensuring high availability and scalability. Ideal for real-time analysis, it transforms use cases like fraud detection and recommendation engines.
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Google's Vertex AI in Firebase SDK Now Ready for Production Use
Three months after its launch in beta, the Vertex AI in Firebase SDK is now ready for production, says Google engineer Thomas Ezan, who further explores three dimensions that are essential for its successful deployment to production: abuse prevention, remote configuration, and responsible AI use.