15 verified briefings on Google Cloud. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Google's engineers built a new command-line tool, Antigravity, to automate the complex process of migrating databases to Spanner. The tool manages dual-writing to old and new systems, ensuring zero downtime for critical financial applications.
Google Cloud has updated its VPC Service Controls with new policy intelligence tools. This helps security and IT teams more easily understand, troubleshoot, and enforce the digital perimeters that protect their sensitive data from exfiltration.
Google Cloud's Migration Center now uses AI to create rapid cost assessments for moving to the cloud. This new feature automates a complex process that previously took weeks of manual analysis, helping teams modernize infrastructure faster.
Google Cloud's Key Management Service now lets you import your own encryption keys using a quantum-safe method. This protects sensitive data from the future threat of quantum computers powerful enough to break today's standard encryption.
Google's AlloyDB now supports searching up to 10 billion vectors, a massive jump in scale. This allows developers to build enterprise-grade AI applications on a fully managed, PostgreSQL-compatible database without hitting previous performance limits.
Google Cloud's serverless Apache Spark service now uses AI to automatically diagnose and suggest fixes for failed data jobs. This helps teams spend less time debugging infrastructure and more time building data pipelines.
Google Cloud launched a new platform that uses AI agents to automate mobile app testing on real devices. This aims to simplify the complex process of ensuring apps work across thousands of different phone models, evolving from Firebase Test Lab.
Google Cloud has launched ClusterNetworkPolicy for its Kubernetes Engine (GKE). The new feature lets platform administrators set cluster-wide security rules that work alongside developer policies, improving security without slowing down individual teams.
AI startup Mirendil is spending over $100 million on Google Cloud to build self-improving AI systems. The deal highlights the massive computing power now required for next-generation AI research aimed at accelerating scientific discovery.
Slack shared its four-phase journey from a single-cloud AI setup to a multi-cloud platform using both AWS Bedrock and Google Vertex AI. The move offers a valuable roadmap for companies seeking more flexible and resilient AI infrastructure.
A threat actor called PCPJack has hijacked over 230 servers on AWS, Google Cloud, and Azure. The compromised servers are being used to create a covert email relay network, turning them into proxies for sending mail.
Google Cloud is introducing a new way to manage planned maintenance. Instead of tracking individual resource updates across many projects, teams can now view maintenance events in the context of their business services. This change aims to reduce operational overhead for platform and SRE teams.
Google has launched Google AI Threat Defense, an automated system to find and stop AI-powered cyberattacks. The new tool helps security teams respond faster to sophisticated threats before they can damage a business.
Google Cloud has announced the general availability of its managed Remote MCP Server for AlloyDB. This new service provides a direct and secure connection for AI models and agents to access real-time data stored in AlloyDB databases, improving the quality of context for AI-powered applications.
Google Cloud published a guide on using its BigQuery Graph feature to create digital twins of complex systems, like a food supply chain. The approach helps businesses model and analyze relationships within their operations, moving beyond the limitations of traditional spreadsheets to manage growth and complexity effectively.