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All news with #cloud sql tag

Tue, November 18, 2025

Google Cloud launches 30-day Cloud SQL free trial edition

🚀 Google Cloud today announced a 30-day free trial for Cloud SQL, offering preconfigured MySQL and PostgreSQL instances to evaluate enterprise-grade features without upfront commitment. The trial exposes Performance, High Availability, and Data Cache capabilities and mirrors production-oriented SKUs (Enterprise and Enterprise Plus). Users can one-click upgrade to paid instances at any time; after 30 days instances are suspended and kept stopped for an additional 90 days at no charge. The offer is available in all Google Cloud regions.

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Thu, October 30, 2025

Global Payments: Resilient Scale Architecture with Cloud SQL

☁️ Global Payments partnered with Google Cloud to design a multi-region, highly available database architecture using Cloud SQL Enterprise Plus. The deployment spans three regions with zonal replication, read replicas, cascading replication, and Cloud SQL Auth Proxy integration to support low-latency reads and rapid failover. This configuration yields near-zero planned downtime, sub-minute RTO and zero RPO for Tier 1 workloads, while meeting PCI DSS, GDPR, and NIST requirements.

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Fri, October 17, 2025

Axion C4A and N4 VMs Now GA for Cloud SQL Enterprise

🚀 Google has made Axion-powered C4A and Intel-based N4 virtual machines generally available for Cloud SQL Enterprise Plus and Enterprise editions, promising substantial gains in throughput and price-performance. Hyperdisk Balanced storage is supported on both families to boost I/O, increase throughput, and allow independent configuration of capacity, throughput, and IOPS. Customer tests report lower costs, reduced latency, and large throughput gains. These machines are available in select regions; check Cloud SQL pricing and region documentation for details.

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Mon, October 13, 2025

Getting Started with Chaos Engineering on Google Cloud

⚙️ This post introduces the fundamentals of chaos engineering and explains why deliberately injecting controlled failures helps teams build more resilient cloud-native systems. It covers core principles — such as defining a steady-state hypothesis, limiting blast radius, replicating realistic failure modes, and automating experiments — and translates them into practical steps for experiment design, fault injection, probing, and rollback. The article recommends using Chaos Toolkit and points to Google Cloud–specific recipes to help engineers begin safely and iteratively.

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Wed, September 24, 2025

Gemini CLI Extensions Enable Google Data Cloud Access

🔧 Google released open-source Gemini CLI extensions that integrate Gemini with Google Data Cloud services, enabling terminal-based access to BigQuery, Cloud SQL, and AlloyDB. Developers install the CLI (recommended v0.6.0), add extensions, and configure IAM and environment variables to connect to projects. Extensions support provisioning databases and users, natural-language querying, AI forecasting, and conversational analytics, though some require enabling additional APIs.

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Fri, September 12, 2025

Rent the Runway Boosts Developer Velocity with Cloud SQL

🚀 Rent the Runway migrated from a complex, self-managed MySQL environment to Cloud SQL, gaining managed backups, built-in observability, and simplified disaster recovery. The move removed a third-party 24/7 MySQL support vendor and cut more than $180,000 in annual operational costs. Engineers now work in IAM-controlled instances with query insights, enabling safer schema changes, CI/CD for database updates, and faster, more reliable deployments.

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Thu, August 28, 2025

What's New in Google Data Cloud: August Product Roundup

🔔 This Google Cloud roundup summarizes recent product milestones, GA launches, previews, and integrations across the data analytics, BI, and database portfolio. It highlights updates to BigQuery, Firestore, Cloud SQL, AlloyDB, and adjacent services aimed at easing ingestion, migration, and AI-driven operations. Notable items include MongoDB-compatible Firestore GA, PSC networking improvements for Database Migration Service, and a redesigned BigQuery data ingestion experience. The post also emphasizes resilience and DR enhancements such as immutable backups and Near Zero Downtime maintenance.

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