All news with #cloud sql tag

🚀 CME Group partnered with Google Cloud to migrate its critical trading databases to Cloud SQL, aiming to sustain ultra-low-latency operations and reduce operational overhead. The managed service provides built-in observability and AI-assisted insights that surface anomalies and suggest query optimizations, enabling teams to identify root causes in minutes. As a result, administrators focus on strategic improvements while developers iterate faster and collaborate across environments.

🚀 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.

☁️ 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.

🚀 Giles AI migrated its healthcare-focused platform to Google Cloud to reduce latency, improve scalability, and accelerate developer velocity. Using Google Kubernetes Engine, Cloud Run, and Compute Engine, the company orchestrates complex clinical data flows and routes prompts through Vertex AI and Model Garden to remain model-agnostic. Data storage and extraction are handled with Cloud SQL, Cloud Storage, and Document AI, while Cloud Armor and Security Command Center bolster security and compliance. Early customer results include dramatic reductions in research time and improvements in response accuracy.

🚀 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.

🔧 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.

🛠️ Gemini Cloud Assist Investigations is now in public preview to help troubleshoot Dataproc and Serverless for Apache Spark workloads by automatically analyzing driver and executor logs, Spark UI metrics, configurations, and cross-product telemetry. Accessible from the Google Cloud console and via API, it produces prioritized summaries and clear remediation steps. The tool is tailored to data engineers, data scientists, SREs, and managers to reduce investigation time and accelerate fixes.

🔔 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.